CN116321265B - Network quality evaluation method, electronic device and storage medium - Google Patents

Abstract

The embodiment of the application provides a network quality assessment method, electronic equipment and a storage medium, wherein the method comprises the following steps: acquiring current network quality information of the electronic equipment; matching corresponding network quality icons according to the network quality information; and displaying the network quality icon on the electronic device. By displaying the current network quality icon on the electronic equipment, the user can quickly and directly know the current network quality through the network quality icon, and the user experience is improved.

Description

Network quality assessment methods, electronic equipment and storage media

Technical field

The present application relates to the field of network quality detection technology, and in particular to a network quality assessment method, electronic equipment and storage media.

Background technique

The current indicators used by mobile phone interfaces to display network quality are mainly signal strength, such as cellular RSRP and wifi RSSI. However, ordinary users are accustomed to using the signal grid number on the mobile phone interface to judge the current network quality. However, RSRP and RSSI are only an indicator of the signal energy received by the mobile phone and cannot be equated to the quality of mobile Internet access. Therefore, users often complain about this, such as: "The signal is full, but the Internet is slow, unable to access the Internet, and stuck" and other problems.

Contents of the invention

Embodiments of the present application provide a network quality assessment method, electronic device, and storage medium. Through this network quality assessment method, the current network quality icon can be displayed on the UI of the electronic device based on the acquired current network quality information, so that the user can By checking the network quality icon on the UI of the electronic device, you can know the current network quality of the electronic device, instead of judging the current network quality by the number of signal grids of the cellular network or WIFI, so as to improve the user experience.

In the first aspect, embodiments of the present application provide a network quality assessment method, which is applied to electronic devices, including: obtaining the current network quality information of the electronic device; matching the corresponding network quality icon according to the network quality information; and displaying the network quality on the electronic device. Quality icon. By displaying the current network quality icon on the electronic device, the user can quickly and directly understand the current network quality through the network quality icon, thereby improving the user experience.

Further, obtaining the current network quality information of the electronic device includes: determining the current scenario type of the electronic device, where the scenario types of the electronic device include: enhanced mobile broadband, ultra-high reliability and ultra-low latency services, and massive Internet of Things communications; and Obtain the index value of the key performance index corresponding to the current scenario of the electronic device; convert the obtained index value into the network quality score of the current scenario.

Further, the key performance indicators include one or more of the following: uplink rate, downlink rate, uplink delay, downlink delay, RTT delay, connection density and reliability, where the connection density is the connection of the base station to which the electronic device is connected The ratio of the number of users to the coverage area of the base station. Reliability includes user plane reliability and control plane reliability. The control plane reliability is determined by the connection success rate and/or abnormal connection disconnection rate, and the user plane reliability is determined by the block error rate; Among them, the key performance indicators corresponding to the ultra-high reliability and ultra-low latency business scenarios include uplink delay, downlink delay and reliability; the key performance indicators corresponding to the massive IoT communication scenario include connection density; in the enhanced mobile broadband scenario , select one or more key performance indicators as the corresponding key performance indicators based on different business types.

Further, converting the obtained index values into the network quality score of the current scene includes: converting each index value of the key performance index corresponding to the current scene of the electronic device into the corresponding single index score; and converting each of the obtained single indexes. The scores are weighted to get the network quality score for the current scenario.

Further, converting each index value of the key performance index corresponding to the current scenario of the electronic device into a corresponding single index score includes: if the key performance index corresponding to the single index score currently to be calculated includes uplink rate, downlink rate, and uplink time. When delay, downlink delay, RTT delay, connection density or user plane reliability is exceeded, the individual index scores corresponding to the corresponding key performance indicators are calculated according to the first calculation process, and the first calculation process includes calculation through the following formula:

Among them, [T _min , T _max ] is the threshold range set by the key performance indicators, the indicator score corresponding to T _min is H1, the indicator score corresponding to T _max is H2, and x represents the indicator value;

If the key performance indicator corresponding to the single indicator score currently to be calculated includes control surface reliability, the indicator score corresponding to the control surface reliability is calculated according to the second calculation process, and the second calculation process includes calculation through the following formula:

100*(m*p+(1-m)*(1-q))

Among them, the current connection success rate is p, the current abnormal connection disconnection rate is q, m is the weight of the connection success rate p, (1-m) is the weight of the abnormal connection disconnection rate q, and 100 represents the basic score.

Further, weighting the obtained individual indicator scores to obtain the network quality score of the current scenario includes calculation through the following formula:

Among them, QoE _final represents the calculated network quality score of the current scenario, ω _{KPI_i} represents the weight of the i-th key performance indicator, Qoe _{KPI_i} represents the single indicator score of the i-th key performance indicator value.

Further, the network quality information includes a network quality score; matching the corresponding network quality icon according to the network quality information includes: matching the corresponding network quality level icon based on the score level of the network quality score; displaying the network quality icon on the electronic device includes: The network quality level icon is displayed in the signal bar of the electronic device.

Further, after obtaining the index value of the key performance index corresponding to the current scene of the electronic device, the method further includes: updating the index value of the key performance index corresponding to the current scene in the system menu.

In a second aspect, embodiments of the present application further provide an electronic device, including: a processor and a memory. The memory is used to store at least one instruction. The instruction is loaded and executed by the processor to implement the network quality assessment method provided in the first aspect.

In a third aspect, embodiments of the present application further provide a computer-readable storage medium on which a computer program is stored. When the computer program is executed by a processor, the network quality assessment method provided in the first aspect is implemented.

Description of the drawings

In order to more clearly explain the embodiments of the present application or the technical solutions in the prior art, the following will briefly introduce the drawings that need to be used in the description of the embodiments or the prior art. Obviously, the drawings in the following description These are some embodiments of the present application. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without exerting any creative effort.

Figure 1 shows a schematic structural diagram of an electronic device 100;

Figure 2 is a software structure block diagram of the electronic device 100 according to the embodiment of the present application;

Figure 3 is a schematic flowchart of a network quality assessment method provided by an embodiment of the present application;

Figure 4 is a schematic diagram of a network quality level icon provided by an embodiment of the present application;

Figure 5 is a schematic diagram showing network quality information provided by an embodiment of the present application;

FIG. 6 is a schematic structural diagram of an electronic device provided by an embodiment of the present application.

Detailed ways

In order to make the purpose, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments These are part of the embodiments of this application, but not all of them. Based on the embodiments in this application, all other embodiments obtained by those of ordinary skill in the art without creative efforts fall within the scope of protection of this application.

FIG. 1 shows a schematic structural diagram of an electronic device 100 .

The electronic device 100 may be a mobile phone, a tablet computer, a desktop computer, a laptop computer, a handheld computer, a notebook computer, an ultra-mobile personal computer (UMPC), a netbook, a cellular phone, a personal digital assistant (personal digital assistant) digital assistant (PDA), augmented reality (AR) device, virtual reality (VR) device, artificial intelligence (AI) device, wearable device, vehicle-mounted device, smart home device and/or smart city Equipment, the embodiments of this application do not place special restrictions on the specific type of the electronic equipment.

The electronic device 100 may include a processor 110, an external memory interface 120, an internal memory 121, a universal serial bus (USB) interface 130, a charging management module 140, a power management module 141, a battery 142, an antenna 1, an antenna 2 , mobile communication module 150, wireless communication module 160, audio module 170, speaker 170A, receiver 170B, microphone 170C, headphone interface 170D, sensor module 180, button 190, motor 191, indicator 192, camera 193, display screen 194, and Subscriber identification module (subscriber identification module, SIM) card interface 195, etc. The sensor module 180 may include a pressure sensor 180A, a gyro sensor 180B, an air pressure sensor 180C, a magnetic sensor 180D, an acceleration sensor 180E, a distance sensor 180F, a proximity light sensor 180G, a fingerprint sensor 180H, a temperature sensor 180J, a touch sensor 180K, and ambient light. Sensor 180L, bone conduction sensor 180M, etc.

It can be understood that the structure illustrated in the embodiment of the present application does not constitute a specific limitation on the electronic device 100 . In other embodiments of the present application, the electronic device 100 may include more or fewer components than shown in the figures, or some components may be combined, some components may be separated, or some components may be arranged differently. The components illustrated may be implemented in hardware, software, or a combination of software and hardware.

The processor 110 may include one or more processing units. For example, the processor 110 may include an application processor (application processor, AP), a modem processor, a graphics processing unit (GPU), an image signal processor ( image signal processor (ISP), controller, video codec, digital signal processor (digital signal processor, DSP), baseband processor, and/or neural network processing unit (NPU), etc. Among them, different processing units can be independent devices or integrated in one or more processors.

The controller can generate operation control signals based on the instruction operation code and timing signals to complete the control of fetching and executing instructions.

The processor 110 may also be provided with a memory for storing instructions and data. In some embodiments, the memory in processor 110 is cache memory. This memory may hold instructions or data that have been recently used or recycled by processor 110 . If the processor 110 needs to use the instructions or data again, it can be called directly from the memory. Repeated access is avoided and the waiting time of the processor 110 is reduced, thus improving the efficiency of the system.

In some embodiments, processor 110 may include one or more interfaces. The interface may include an integrated circuit (inter-integrated circuit, I2C) interface, an integrated circuit built-in audio (inter-integrated circuitsound, I2S) interface, a pulse code modulation (PCM) interface, and a universal asynchronous receiver (universal asynchronous receiver) /transmitter, UART) interface, mobile industry processor interface (MIPI), general-purpose input/output (GPIO) interface, subscriber identity module (subscriber identity module, SIM) interface, and/or Universal serial bus (USB) interface, etc.

The I2C interface is a bidirectional synchronous serial bus, including a serial data line (SDA) and a serial clock line (derail clock line, SCL). In some embodiments, processor 110 may include multiple sets of I2C buses. The processor 110 can separately couple the touch sensor 180K, charger, flash, camera 193, etc. through different I2C bus interfaces. For example, the processor 110 can be coupled to the touch sensor 180K through an I2C interface, so that the processor 110 and the touch sensor 180K communicate through the I2C bus interface to implement the touch function of the electronic device 100 .

The I2S interface can be used for audio communication. In some embodiments, processor 110 may include multiple sets of I2S buses. The processor 110 can be coupled with the audio module 170 through the I2S bus to implement communication between the processor 110 and the audio module 170 . In some embodiments, the audio module 170 can transmit audio signals to the wireless communication module 160 through the I2S interface to implement the function of answering calls through a Bluetooth headset.

The PCM interface can also be used for audio communications to sample, quantize and encode analog signals. In some embodiments, the audio module 170 and the wireless communication module 160 may be coupled through a PCM bus interface. In some embodiments, the audio module 170 can also transmit audio signals to the wireless communication module 160 through the PCM interface to implement the function of answering calls through a Bluetooth headset. Both the I2S interface and the PCM interface can be used for audio communication.

The UART interface is a universal serial data bus used for asynchronous communication. The bus can be a bidirectional communication bus. It converts the data to be transmitted between serial communication and parallel communication. In some embodiments, a UART interface is generally used to connect the processor 110 and the wireless communication module 160 . For example, the processor 110 communicates with the Bluetooth module in the wireless communication module 160 through the UART interface to implement the Bluetooth function. In some embodiments, the audio module 170 can transmit audio signals to the wireless communication module 160 through the UART interface to implement the function of playing music through a Bluetooth headset.

The MIPI interface can be used to connect the processor 110 with peripheral devices such as the display screen 194 and the camera 193 . MIPI interfaces include camera serial interface (CSI), display serial interface (displayserial interface, DSI), etc. In some embodiments, the processor 110 and the camera 193 communicate through the CSI interface to implement the shooting function of the electronic device 100 . The processor 110 and the display screen 194 communicate through the DSI interface to implement the display function of the electronic device 100 .

The GPIO interface can be configured through software. The GPIO interface can be configured as a control signal or as a data signal. In some embodiments, the GPIO interface can be used to connect the processor 110 with the camera 193, display screen 194, wireless communication module 160, audio module 170, sensor module 180, etc. The GPIO interface can also be configured as an I2C interface, I2S interface, UART interface, MIPI interface, etc.

The USB interface 130 is an interface that complies with USB standard specifications, and may specifically be a Mini USB interface, a Micro USB interface, a USB Type C interface, etc. The USB interface 130 can be used to connect a charger to charge the electronic device 100, and can also be used to transmit data between the electronic device 100 and peripheral devices. It can also be used to connect headphones to play audio through them. This interface can also be used to connect other electronic devices, such as AR devices, etc.

It can be understood that the interface connection relationships between the modules illustrated in the embodiments of the present application are only schematic illustrations and do not constitute a structural limitation of the electronic device 100 . In other embodiments of the present application, the electronic device 100 may also adopt different interface connection methods in the above embodiments, or a combination of multiple interface connection methods.

The charging management module 140 is used to receive charging input from the charger. Among them, the charger can be a wireless charger or a wired charger. In some wired charging embodiments, the charging management module 140 may receive charging input from the wired charger through the USB interface 130 . In some wireless charging embodiments, the charging management module 140 may receive wireless charging input through the wireless charging coil of the electronic device 100 . While the charging management module 140 charges the battery 142, it can also provide power to the electronic device through the power management module 141.

The power management module 141 is used to connect the battery 142, the charging management module 140 and the processor 110. The power management module 141 receives input from the battery 142 and/or the charging management module 140, and supplies power to the processor 110, the internal memory 121, the display screen 194, the camera 193, the wireless communication module 160, and the like. The power management module 141 can also be used to monitor battery capacity, battery cycle times, battery health status (leakage, impedance) and other parameters. In some other embodiments, the power management module 141 may also be provided in the processor 110 . In other embodiments, the power management module 141 and the charging management module 140 may also be provided in the same device.

The wireless communication function of the electronic device 100 can be implemented through the antenna 1, the antenna 2, the mobile communication module 150, the wireless communication module 160, the modem processor and the baseband processor.

Antenna 1 and Antenna 2 are used to transmit and receive electromagnetic wave signals. Each antenna in electronic device 100 may be used to cover a single or multiple communication frequency bands. Different antennas can also be reused to improve antenna utilization. For example: Antenna 1 can be reused as a diversity antenna for a wireless LAN. In other embodiments, antennas may be used in conjunction with tuning switches.

The mobile communication module 150 can provide solutions for wireless communication including 2G/3G/4G/5G applied on the electronic device 100 . The mobile communication module 150 may include at least one filter, switch, power amplifier, low noise amplifier (LNA), etc. The mobile communication module 150 can receive electromagnetic waves through the antenna 1, perform filtering, amplification and other processing on the received electromagnetic waves, and transmit them to the modem processor for demodulation. The mobile communication module 150 can also amplify the signal modulated by the modem processor and convert it into electromagnetic waves through the antenna 1 for radiation. In some embodiments, at least part of the functional modules of the mobile communication module 150 may be disposed in the processor 110 . In some embodiments, at least part of the functional modules of the mobile communication module 150 and at least part of the modules of the processor 110 may be provided in the same device.

A modem processor may include a modulator and a demodulator. Among them, the modulator is used to modulate the low-frequency baseband signal to be sent into a medium-high frequency signal. The demodulator is used to demodulate the received electromagnetic wave signal into a low-frequency baseband signal. The demodulator then transmits the demodulated low-frequency baseband signal to the baseband processor for processing. After the low-frequency baseband signal is processed by the baseband processor, it is passed to the application processor. The application processor outputs sound signals through audio devices (not limited to speaker 170A, receiver 170B, etc.), or displays images or videos through display screen 194. In some embodiments, the modem processor may be a stand-alone device. In other embodiments, the modem processor may be independent of the processor 110 and may be provided in the same device as the mobile communication module 150 or other functional modules.

The wireless communication module 160 can provide applications on the electronic device 100 including wireless local area networks (WLAN) (such as wireless fidelity (Wi-Fi) network), Bluetooth (bluetooth, BT), and global navigation satellite system. (global navigation satellite system, GNSS), frequency modulation (FM), near field communication technology (near field communication, NFC), infrared technology (infrared, IR) and other wireless communication solutions. The wireless communication module 160 may be one or more devices integrating at least one communication processing module. The wireless communication module 160 receives electromagnetic waves via the antenna 2 , frequency modulates and filters the electromagnetic wave signals, and sends the processed signals to the processor 110 . The wireless communication module 160 can also receive the signal to be sent from the processor 110, frequency modulate it, amplify it, and convert it into electromagnetic waves through the antenna 2 for radiation.

In some embodiments, the antenna 1 of the electronic device 100 is coupled to the mobile communication module 150, and the antenna 2 is coupled to the wireless communication module 160, so that the electronic device 100 can communicate with the network and other devices through wireless communication technology. The wireless communication technology may include global system for mobile communications (GSM), general packet radio service (GPRS), code division multiple access (codedivision multiple access, CDMA), broadband code Wideband code division multiple access (WCDMA), time-division code division multiple access (TD-SCDMA), long term evolution (LTE), BT, GNSS, WLAN, NFC, FM , and/or IR technology, etc. The GNSS may include global positioning system (GPS), global navigation satellite system (GLONASS), Beidou satellite navigation system (beidounavigation satellite system, BDS), quasi-zenith satellite system (quasi- zenith satellitesystem (QZSS) and/or satellite based augmentation systems (SBAS).

The electronic device 100 implements display functions through a GPU, a display screen 194, an application processor, and the like. The GPU is an image processing microprocessor and is connected to the display screen 194 and the application processor. GPUs are used to perform mathematical and geometric calculations for graphics rendering. Processor 110 may include one or more GPUs that execute program instructions to generate or alter display information.

The display screen 194 is used to display images, videos, etc. Display 194 includes a display panel. The display panel can use a liquid crystal display (LCD), an organic light-emitting diode (OLED), an active matrix organic light emitting diode or an active matrix organic light emitting diode (active-matrix organic light emitting diode). (AMOLED), flexible light-emitting diode (FLED), Miniled, MicroLed, Micro-oLed, quantum dot light-emitting diodes (QLED), etc. In some embodiments, the electronic device 100 may include 1 or N display screens 194, where N is a positive integer greater than 1.

The electronic device 100 can implement the shooting function through an ISP, a camera 193, a video codec, a GPU, a display screen 194, an application processor, and the like.

The ISP is used to process the data fed back by the camera 193. For example, when taking a photo, the shutter is opened, the light is transmitted to the camera sensor through the lens, the optical signal is converted into an electrical signal, and the camera sensor passes the electrical signal to the ISP for processing, and converts it into an image visible to the naked eye. ISP can also perform algorithm optimization on image noise, brightness, and skin color. ISP can also optimize the exposure, color temperature and other parameters of the shooting scene. In some embodiments, the ISP may be provided in the camera 193.

Camera 193 is used to capture still images or video. The object passes through the lens to produce an optical image that is projected onto the photosensitive element. The photosensitive element may be a charge coupled device (CCD) or a complementary metal-oxide-semiconductor (CMOS) phototransistor. The photosensitive element converts the optical signal into an electrical signal, and then passes the electrical signal to the ISP to convert it into a digital image signal. ISP outputs digital image signals to DSP for processing. DSP converts digital image signals into standard RGB, YUV and other format image signals. In some embodiments, the electronic device 100 may include 1 or N cameras 193, where N is a positive integer greater than 1.

Digital signal processors are used to process digital signals. In addition to digital image signals, they can also process other digital signals. For example, when the electronic device 100 selects a frequency point, the digital signal processor is used to perform Fourier transform on the frequency point energy.

Video codecs are used to compress or decompress digital video. Electronic device 100 may support one or more video codecs. In this way, the electronic device 100 can play or record videos in multiple encoding formats, such as moving picture experts group (moving picture experts group, MPEG) 1, MPEG2, MPEG3, MPEG4, etc.

NPU is a neural network (NN) computing processor. By drawing on the structure of biological neural networks, such as the transmission mode between neurons in the human brain, it can quickly process input information and can continuously learn by itself. Intelligent cognitive applications of the electronic device 100 can be implemented through the NPU, such as image recognition, face recognition, speech recognition, text understanding, etc.

The external memory interface 120 can be used to connect an external memory card, such as a Micro SD card, to expand the storage capacity of the electronic device 100 . The external memory card communicates with the processor 110 through the external memory interface 120 to implement the data storage function. Such as saving music, videos, etc. files in external memory card.

Internal memory 121 may be used to store computer executable program code, which includes instructions. The internal memory 121 may include a program storage area and a data storage area. Among them, the stored program area can store an operating system, at least one application program required for a function (such as a sound playback function, an image playback function, etc.). The storage data area may store data created during use of the electronic device 100 (such as audio data, phone book, etc.). In addition, the internal memory 121 may include high-speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, universal flash storage (UFS), etc. The processor 110 executes various functional applications and data processing of the electronic device 100 by executing instructions stored in the internal memory 121 and/or instructions stored in a memory provided in the processor.

The electronic device 100 can implement audio functions through the audio module 170, the speaker 170A, the receiver 170B, the microphone 170C, the headphone interface 170D, and the application processor. Such as music playback, recording, etc.

The audio module 170 is used to convert digital audio information into analog audio signal output, and is also used to convert analog audio input into digital audio signals. Audio module 170 may also be used to encode and decode audio signals. In some embodiments, the audio module 170 may be provided in the processor 110 , or some functional modules of the audio module 170 may be provided in the processor 110 .

Speaker 170A, also called "speaker", is used to convert audio electrical signals into sound signals. The electronic device 100 can listen to music through the speaker 170A, or listen to hands-free calls.

Receiver 170B, also called "earpiece", is used to convert audio electrical signals into sound signals. When the electronic device 100 answers a call or a voice message, the voice can be heard by bringing the receiver 170B close to the human ear.

Microphone 170C, also called "microphone" or "microphone", is used to convert sound signals into electrical signals. When making a call or sending a voice message, the user can speak close to the microphone 170C with the human mouth and input the sound signal to the microphone 170C. The electronic device 100 may be provided with at least one microphone 170C. In other embodiments, the electronic device 100 may be provided with two microphones 170C, which in addition to collecting sound signals, may also implement a noise reduction function. In other embodiments, the electronic device 100 can also be provided with three, four or more microphones 170C to collect sound signals, reduce noise, identify sound sources, and implement directional recording functions, etc.

The headphone interface 170D is used to connect wired headphones. The headphone interface 170D may be a USB interface 130, or may be a 3.5 mm open mobile terminal platform (OMTP) standard interface or a Cellular Telecommunications Industry Association of the USA (CTIA) standard interface.

The pressure sensor 180A is used to sense pressure signals and can convert the pressure signals into electrical signals. In some embodiments, pressure sensor 180A may be disposed on display screen 194 . There are many types of pressure sensors 180A, such as resistive pressure sensors, inductive pressure sensors, capacitive pressure sensors, etc. A capacitive pressure sensor may include at least two parallel plates of conductive material. When a force is applied to pressure sensor 180A, the capacitance between the electrodes changes. The electronic device 100 determines the intensity of the pressure based on the change in capacitance. When a touch operation is performed on the display screen 194, the electronic device 100 detects the intensity of the touch operation according to the pressure sensor 180A. The electronic device 100 may also calculate the touched position based on the detection signal of the pressure sensor 180A. In some embodiments, touch operations acting on the same touch location but with different touch operation intensities may correspond to different operation instructions. For example: when a touch operation with a touch operation intensity less than the first pressure threshold is applied to the short message application icon, an instruction to view the short message is executed. When a touch operation with a touch operation intensity greater than or equal to the first pressure threshold is applied to the short message application icon, an instruction to create a new short message is executed.

The gyro sensor 180B may be used to determine the motion posture of the electronic device 100 . In some embodiments, the angular velocity of electronic device 100 about three axes (ie, x, y, and z axes) may be determined by gyro sensor 180B. The gyro sensor 180B can be used for image stabilization. For example, when the shutter is pressed, the gyro sensor 180B detects the angle at which the electronic device 100 shakes, calculates the distance that the lens module needs to compensate based on the angle, and allows the lens to offset the shake of the electronic device 100 through reverse movement to achieve anti-shake. The gyro sensor 180B can also be used for navigation and somatosensory game scenes.

Air pressure sensor 180C is used to measure air pressure. In some embodiments, the electronic device 100 calculates the altitude through the air pressure value measured by the air pressure sensor 180C to assist positioning and navigation.

Magnetic sensor 180D includes a Hall sensor. The electronic device 100 may utilize the magnetic sensor 180D to detect opening and closing of the flip holster. In some embodiments, when the electronic device 100 is a flip machine, the electronic device 100 may detect the opening and closing of the flip according to the magnetic sensor 180D. Then, based on the detected opening and closing status of the leather case or the opening and closing status of the flip cover, features such as automatic unlocking of the flip cover are set.

The acceleration sensor 180E can detect the acceleration of the electronic device 100 in various directions (generally three axes). When the electronic device 100 is stationary, the magnitude and direction of gravity can be detected. It can also be used to identify the posture of electronic devices and be used in horizontal and vertical screen switching, pedometer and other applications.

Distance sensor 180F for measuring distance. Electronic device 100 can measure distance via infrared or laser. In some embodiments, when shooting a scene, the electronic device 100 may utilize the distance sensor 180F to measure distance to achieve fast focusing.

Proximity light sensor 180G may include, for example, a light emitting diode (LED) and a light detector, such as a photodiode. The light emitting diode may be an infrared light emitting diode. The electronic device 100 emits infrared light outwardly through the light emitting diode. Electronic device 100 uses photodiodes to detect infrared reflected light from nearby objects. When sufficient reflected light is detected, it can be determined that there is an object near the electronic device 100 . When insufficient reflected light is detected, the electronic device 100 may determine that there is no object near the electronic device 100 . The electronic device 100 can use the proximity light sensor 180G to detect when the user holds the electronic device 100 close to the ear for talking, so as to automatically turn off the screen to save power. The proximity light sensor 180G can also be used in holster mode, and pocket mode automatically unlocks and locks the screen.

The ambient light sensor 180L is used to sense ambient light brightness. The electronic device 100 can adaptively adjust the brightness of the display screen 194 according to the perceived ambient light brightness. The ambient light sensor 180L can also be used to automatically adjust the white balance when taking pictures. The ambient light sensor 180L can also cooperate with the proximity light sensor 180G to detect whether the electronic device 100 is in the pocket to prevent accidental touching.

Fingerprint sensor 180H is used to collect fingerprints. The electronic device 100 can use the collected fingerprint characteristics to achieve fingerprint unlocking, access to application locks, fingerprint photography, fingerprint answering of incoming calls, etc.

Temperature sensor 180J is used to detect temperature. In some embodiments, the electronic device 100 utilizes the temperature detected by the temperature sensor 180J to execute the temperature processing strategy. For example, when the temperature reported by the temperature sensor 180J exceeds a threshold, the electronic device 100 reduces the performance of a processor located near the temperature sensor 180J in order to reduce power consumption and implement thermal protection. In other embodiments, when the temperature is lower than another threshold, the electronic device 100 heats the battery 142 to prevent the low temperature from causing the electronic device 100 to shut down abnormally. In some other embodiments, when the temperature is lower than another threshold, the electronic device 100 performs boosting on the output voltage of the battery 142 to avoid abnormal shutdown caused by low temperature.

Touch sensor 180K, also known as "touch device". The touch sensor 180K can be disposed on the display screen 194. The touch sensor 180K and the display screen 194 form a touch screen, which is also called a "touch screen". The touch sensor 180K is used to detect a touch operation on or near the touch sensor 180K. The touch sensor can pass the detected touch operation to the application processor to determine the touch event type. Visual output related to the touch operation may be provided through display screen 194 . In other embodiments, the touch sensor 180K may also be disposed on the surface of the electronic device 100 at a location different from that of the display screen 194 .

Bone conduction sensor 180M can acquire vibration signals. In some embodiments, the bone conduction sensor 180M can acquire the vibration signal of the vibrating bone mass of the human body's vocal part. The bone conduction sensor 180M can also contact the human body's pulse and receive blood pressure beating signals. In some embodiments, the bone conduction sensor 180M can also be provided in an earphone and combined into a bone conduction earphone. The audio module 170 can analyze the voice signal based on the vibration signal of the vocal vibrating bone obtained by the bone conduction sensor 180M to implement the voice function. The application processor can analyze the heart rate information based on the blood pressure beating signal acquired by the bone conduction sensor 180M to implement the heart rate detection function.

The buttons 190 include a power button, a volume button, etc. Key 190 may be a mechanical key. It can also be a touch button. The electronic device 100 may receive key inputs and generate key signal inputs related to user settings and function control of the electronic device 100 .

The motor 191 can generate vibration prompts. The motor 191 can be used for vibration prompts for incoming calls and can also be used for touch vibration feedback. For example, touch operations for different applications (such as taking pictures, audio playback, etc.) can correspond to different vibration feedback effects. The motor 191 can also respond to different vibration feedback effects for touch operations in different areas of the display screen 194 . Different application scenarios (such as time reminders, receiving information, alarm clocks, games, etc.) can also correspond to different vibration feedback effects. The touch vibration feedback effect can also be customized.

The indicator 192 may be an indicator light, which may be used to indicate charging status, power changes, or may be used to indicate messages, missed calls, notifications, etc.

The SIM card interface 195 is used to connect a SIM card. The SIM card can be connected to or separated from the electronic device 100 by inserting it into the SIM card interface 195 or pulling it out from the SIM card interface 195 . The electronic device 100 can support 1 or N SIM card interfaces, where N is a positive integer greater than 1. SIM card interface 195 can support Nano SIM card, Micro SIM card, SIM card, etc. Multiple cards can be inserted into the same SIM card interface 195 at the same time. The types of the plurality of cards may be the same or different. The SIM card interface 195 is also compatible with different types of SIM cards. The SIM card interface 195 is also compatible with external memory cards. The electronic device 100 interacts with the network through the SIM card to implement functions such as calls and data communications. In some embodiments, the electronic device 100 uses an eSIM, that is, an embedded SIM card. The eSIM card can be embedded in the electronic device 100 and cannot be separated from the electronic device 100 .

The software system of the electronic device 100 may adopt a layered architecture, an event-driven architecture, a microkernel architecture, a microservice architecture, or a cloud architecture. The embodiment of this application takes the Android system with a layered architecture as an example to illustrate the software structure of the electronic device 100 .

FIG. 2 is a software structure block diagram of the electronic device 100 according to the embodiment of the present application.

The layered architecture divides the software into several layers, and each layer has clear roles and division of labor. The layers communicate through software interfaces. In some embodiments, the Android system is divided into four layers, from top to bottom: application layer, application framework layer, Android runtime (Android runtime) and system libraries, and kernel layer.

The application layer can include a series of application packages.

As shown in Figure 2, the application package can include camera, gallery, calendar, calling, map, navigation, WLAN, Bluetooth, music, video, short message and other applications.

The application framework layer provides an application programming interface (API) and programming framework for applications in the application layer. The application framework layer includes some predefined functions.

As shown in Figure 2, the application framework layer can include a window manager, content provider, view system, phone manager, resource manager, notification manager, etc.

A window manager is used to manage window programs. The window manager can obtain the display size, determine whether there is a status bar, lock the screen, capture the screen, etc.

Content providers are used to store and retrieve data and make this data accessible to applications. Said data can include videos, images, audio, calls made and received, browsing history and bookmarks, phone books, etc.

The view system includes visual controls, such as controls that display text, controls that display pictures, etc. A view system can be used to build applications. The display interface can be composed of one or more views. For example, a display interface including a text message notification icon may include a view for displaying text and a view for displaying pictures.

The phone manager is used to provide communication functions of the electronic device 100 . For example, call status management (including connected, hung up, etc.).

The resource manager provides various resources to applications, such as localized strings, icons, pictures, layout files, video files, etc.

The notification manager allows applications to display notification information in the status bar, which can be used to convey notification-type messages and can automatically disappear after a short stay without user interaction. For example, the notification manager is used to notify download completion, message reminders, etc. The notification manager can also be notifications that appear in the status bar at the top of the system in the form of charts or scroll bar text, such as notifications for applications running in the background, or notifications that appear on the screen in the form of conversation windows. For example, text information is prompted in the status bar, a beep sounds, the electronic device vibrates, the indicator light flashes, etc.

Android Runtime includes core libraries and virtual machines. The Android runtime is responsible for the scheduling and management of the Android system.

The core library contains two parts: one is the functional functions that need to be called by the Java language, and the other is the core library of Android.

The application layer and application framework layer run in virtual machines. The virtual machine executes the java files of the application layer and application framework layer into binary files. The virtual machine is used to perform object life cycle management, stack management, thread management, security and exception management, and garbage collection and other functions.

System libraries can include multiple functional modules. For example: surface manager (surface manager), media libraries (Media Libraries), 3D graphics processing library (for example: OpenGL ES), 2D graphics engine (for example: SGL), etc.

The surface manager is used to manage the display subsystem and provides the fusion of 2D and 3D layers for multiple applications.

The media library supports playback and recording of a variety of commonly used audio and video formats, as well as static image files, etc. The media library can support a variety of audio and video encoding formats, such as: MPEG4, H.264, MP3, AAC, AMR, JPG, PNG, etc.

The 3D graphics processing library is used to implement 3D graphics drawing, image rendering, composition, and layer processing.

2D Graphics Engine is a drawing engine for 2D drawing.

The kernel layer is the layer between hardware and software. The kernel layer contains at least display driver, camera driver, audio driver, and sensor driver.

The following exemplifies the workflow of the software and hardware of the electronic device 100 in conjunction with capturing the photographing scene.

When the touch sensor 180K receives a touch operation, the corresponding hardware interrupt is sent to the kernel layer. The kernel layer processes touch operations into raw input events (including touch coordinates, timestamps of touch operations, and other information). Raw input events are stored in the kernel layer. The application framework layer obtains the original input event from the kernel layer and identifies the control corresponding to the input event. Taking the touch operation as a touch click operation and the control corresponding to the click operation as a camera application icon control as an example, the camera application calls the interface of the application framework layer to start the camera application, and then starts the camera driver by calling the kernel layer. Camera 193 captures still images or video.

Figure 3 is a schematic flowchart of a network quality assessment method provided by an embodiment of the present application.

Referring to Figure 3, the method may include:

Step 301: Obtain the current network quality information of the electronic device.

In order for the user to directly know the network quality of the electronic device 100 from the (User Interface, UI) user interface of the electronic device 100, it is necessary to obtain the current network quality information of the electronic device 100.

In one implementation, obtaining the current network quality information of the electronic device 100 may include the following steps:

Step 301a: Determine the scene type corresponding to the current service or current slice.

In one implementation, 5G scenario types can be divided into three major categories: Enhanced Mobile Broadband (eMBB), Ultra Reliable & Low Latency Communication (uRLLC) , Massive Machine Type Communication (mMTC).

In one implementation, the electronic device provided by an embodiment of the present application only supports one of the above three scene types.

When the electronic device only supports one of the above three scene types, in one implementation, the scene type supported by the electronic device can be learned in advance.

In another implementation, when the electronic device supports multiple scenarios, when the user's electronic device establishes a PDUsession, it will carry (Single Network Slice Selection Assistance Information, NSSAI), where the NSSAI is a network slice ID. In one implementation, the scene type of the session can be uniquely determined based on NSSAI. In other words, the current corresponding scenario can be determined based on the session currently used by the UE. The above determination of the scene type through the session is a scene type determination method provided by the embodiment of the present application, and the present application does not limit this.

After determining the scene type corresponding to the current service or current slice, step 301b can be performed. Generally, the current scenario type is enhanced mobile broadband (eMBB).

Step 301b: Calculate the index value corresponding to the current scene type.

Among them, the three scenario types have relatively large differences in network capability requirements, so the key performance indicators (Key Performance Indicator, KPI) to measure the current network quality in the corresponding scenarios are also different.

In one implementation, candidate KPI indicators may include one or more of the following: uplink rate, downlink rate, uplink/downlink delay, round-trip time (RTT) delay, connection density/cell, reliability performance (bit error rate).

In one implementation, the KPI of the uRLLC scenario may be latency and/or reliability, where the reliability may be bit error rate. For example, in the uRLLC scenario, delay and bit error rate can be used as KPIs to measure the current network quality. The above method of measuring network quality in uRLLC scenarios is only one option, and this application does not limit it.

In one implementation, the KPI of the mMTC scenario may be connection density.

eMBB belongs to the traditional mobile cellular network scenario and provides many service types. Different service types require different KPIs to be measured. Regarding the business classification of eMBB, it can specifically include: voice calls, video calls, web browsing, streaming media, games, etc.

For eMBB scenarios, in one implementation, the KPI of eMBB services may be one or more of the following: uplink delay, downlink delay, RTT delay, uplink rate, downlink rate, reliability (bit error rate) . Specifically, the corresponding KPI can be selected from the above KPIs according to the business needs of eMBB. The above KPI selection for the eMBB scenario is a selection of one of the embodiments of this application. Other KPI selection methods can also be used, and this application does not limit the selection.

Among them, since different eMBB services have different requirements for KPIs, in order to meet the needs of different eMBB services, when measuring the current network quality in the eMBB scenario, a weight can be set for each selected KPI, where the weight set for the uplink delay W1, the weight set for the downlink delay is W2, the weight set for the RTT delay is W3, the weight set for the uplink rate is W4, the weight set for the downlink rate is W5, and the weight set for the reliability (bit error rate) The set weights can be divided into control plane reliability weight W6 and user plane reliability weight W7. This application does not impose any restrictions on the weight values set for each KPI.

The calculation methods for various KPIs are explained below.

Among them, it should be noted that because the network is changing (for example, changes in the number of users lead to changes in network available resources, movement of satellite base stations), or users' electronic devices are mobile, KPI and network quality assessment are calculated in real time. , the real-time granularity can be adjusted according to actual needs, such as millisecond level, second level or minute level, etc.

Different KPIs are explained below.

1. Uplink delay acquisition

In one implementation, the calculation can be performed based on data on the user's electronic device side. Specifically, the uplink delay can be calculated based on the PDCP cache delay and air interface transmission delay of the user's electronic device. Specifically, the uplink delay can be calculated through the following formula 1:

T _{ul_delay} =T _{PDCP_buffertime} +T _trans formula 1

Among them, T _{ul_delay} represents the uplink delay, T _{PDCP_buffertime} represents the PDCP buffer delay of the user electronic equipment, and T _trans represents the air interface transmission delay.

Regarding the air interface transmission delay T _trans , in a common base station environment, since the distance between the user electronic equipment and the base station is small, a constant can be set instead. For example, the air interface transmission delay constant is set to 6 ms. However, in the satellite communication environment, due to the large distance between the user electronic equipment and the satellite base station, the air interface transmission delay T _trans can be calculated in real time based on the orbital height and elevation angle of the actual satellite base station. This application does not place any restrictions on the calculation method of real-time calculation of the air interface transmission delay T _trans .

In another implementation, the calculation can be performed using data from both the user's electronic device and the base station, where the base station determines the signaling arrival delay at the user's electronic device and sends the signaling arrival delay to the user. Electronic equipment. Specific steps are as follows:

Step 11: The user electronic equipment sends a setting signaling message to the base station, where the setting signaling message carries the user electronic equipment side sending time T _ue .

Step 12: After receiving the setting signaling message sent by the user electronic device, the base station records the reception time T _NodeB on the base station side.

Step 13: After the base station obtains the transmission time T _ue on the user electronic equipment side and the reception time T _NodeB on the base station side, it can calculate the uplink delay based on the time offset T _offset between the base station and the user electronic equipment. The time offset T _offset can be obtained in advance, and the calculation method of the time offset T _offset is not limited here. Specifically, the uplink delay can be calculated through the following formula 2:

T _{ul_delay} =T _NodeB -T _Ue -T _offset formula 2

Step 14: The base station sends the calculated uplink delay to the user's electronic device.

The methods for calculating the uplink delay in the above two embodiments are only choices in some embodiments of this application. The calculation can also be performed in other ways. This application does not place any restrictions on how to calculate the uplink delay.

2. Downlink delay acquisition

In one implementation, the calculation can be performed through terminal-network collaboration. Specifically, the base station sends setting data to the user electronic device, and the user electronic device calculates the downlink delay after receiving the setting data. The specific implementation process Can include:

Step 21: The base station sends setting signaling or setting data to the user electronic equipment, where the data sent by the base station carries the sending time T _NodeB on the base station side.

Step 22: After receiving the setting signaling or setting data sent by the base station, the user electronic device records the reception time T _ue on the side of the user electronic device.

Step 23: The user electronic equipment calculates the downlink delay based on the transmission time T _NodeB on the base station side and the reception time T _ue on the user electronic equipment side combined with the time offset T _offset between the base station and the user electronic equipment. The time offset T _offset can be obtained in advance, and the calculation method of the time offset T _offset is not limited here. Specifically, the uplink delay can be calculated through the following formula 3:

T _{dl_delay} =T _Ue -T _NodeB -T _offset formula three

The above-mentioned method of calculating the downlink delay is only a choice in some embodiments of this application. The calculation can also be performed in other ways. This application does not place any restrictions on how to calculate the downlink delay.

3. RTT delay acquisition (hereinafter referred to as RTT)

In one implementation, the user electronic device can obtain the RTT delay from the TCP layer. This application does not place restrictions on the method of obtaining RTT delay.

4. Obtain uplink rate and downlink rate

In one implementation, the uplink rate (Tx) and downlink rate (Rx) can be obtained through corresponding API interfaces.

5. Obtain connection density

Connection density (D) is used to measure the density of the current network and can reflect the degree of congestion on the network. In one implementation, the connection density is provided by the base station side. Specifically, the base station can calculate the connection density based on the number of connections and the coverage area of the base station, where the dimension is the number of users over the area (number of users/area).

6. Reliability acquisition

In one implementation, the reliability (bit error rate) determined by the user electronic device may include user plane reliability (R _upf ) and control plane reliability (R _smf ), specifically, through the connection success rate and/or the connection success rate The abnormal disconnection rate determines the control plane reliability R _smf ; the user plane reliability R _upf is determined through the block error rate (BLER). This application does not limit the method of obtaining user plane reliability (R _upf ), control plane reliability (R _smf ), and BLER.

In one implementation, if the current scenario type of the user electronic device is uRLLC, the corresponding KPIs for measuring the uRLLC scenario may be latency (uplink latency and downlink latency) and reliability (user plane reliability and control plane reliability). ). Then, the uplink delay, downlink delay, user plane reliability and control plane reliability can be obtained through the above calculation method, thereby obtaining the index value corresponding to the uRLLC scenario.

If the current scenario type of the user electronic device is mMTC, the corresponding KPI for measuring the mMTC scenario can be connection density. The user electronic device can obtain the connection density provided by the base station side to obtain the indicator value corresponding to the mMTC scenario.

If the current scenario type of the user electronic device is eMBB, for example, the corresponding KPIs for measuring the eMBB scenario can be uplink rate, downlink rate, uplink delay, downlink delay, RTT delay and bit error rate. Further, it can be calculated Display the indicator values corresponding to the uplink rate, downlink rate, uplink delay, downlink delay, RTT delay, and bit error rate. Specifically, the index values corresponding to each KPI are calculated as follows: the index value of the uplink rate (Tx), the index value of the uplink rate (Rx), the index value of the uplink delay (T _{ul_delay} ), the index value of the downlink delay ( T _{dl_delay} ), the index value of RTT delay (RTT), the index value of user plane reliability (R _upf ) and the index value of control plane reliability (R _smf ).

Step 301c: Convert the calculated index value into a network quality score.

After obtaining the KPI value (indicator value) corresponding to the current scene type through step 301b, the KPI value can be converted into a network quality score. Specifically, you can first calculate the individual indicator scores corresponding to the KPI values corresponding to the current scenario type, and then calculate the network quality score based on the calculated individual indicator scores and the weight of each KPI (indicator).

The method of calculating the single indicator score corresponding to the KPI value corresponding to the current scenario type is as follows:

In one implementation, each KPI value of the current scenario type can be converted into a corresponding single index score, and further each obtained single index score can be weighted to obtain the previous network quality score.

In one implementation, the method for converting each KPI value into the corresponding single indicator score is as follows:

1. Calculation of uplink delay index scores

A threshold range [T _min , T _max ] can be set for the uplink delay indicator value, and corresponding indicator scores can be set for the maximum and minimum values of the threshold range, where T _min and T _max correspond to the indicator scores. are H1 and H2 respectively. For example, the index score corresponding to T _min can be set to 100 points, and the index score corresponding to T _max can be set to 0 points. This application does not place restrictions on the setting of the maximum and minimum index scores of the threshold range.

In one implementation, two thresholds can be listed in the threshold range, namely the maximum value T _max and the minimum value T _min . In other embodiments, a multi-step threshold method can also be used. If a multi-step threshold is used, a linear method is used for fitting between each two thresholds, which will not be described again here.

The current uplink delay index value T _{ul_delay} is x. Compare the current uplink delay index value x with the threshold range [T _min , T _max ], and determine the index score corresponding to the current uplink delay index value x based on the comparison result. That is, the single indicator score of the KPI of uplink delay is obtained. Specifically, if the current uplink delay index value x ≤ T _min , then the index score corresponding to the current uplink delay index value x is 100; if the current uplink delay index value x ≥ T _max , then the current uplink delay index value x The corresponding index score is 0; if the current uplink delay index value T _min <x < T _max , the first parameter is determined based on the current uplink delay index value x, T _max and the fractional index score of T _max , and based on T _min The difference from T _max determines the second parameter, and then determines the index score corresponding to the current uplink delay index value x according to the ratio of the first parameter to the second parameter.

The current uplink delay index score satisfies the following formula 4:

2. The calculation method of the single index scores of downlink delay, RTT delay, uplink rate, downlink rate and connection density can be the same or similar to the calculation method of the single index score of uplink delay, which will not be described again here.

3.1. Calculation of control surface reliability index scores

The reliability indicators of the control plane specifically include the connection success rate and/or the abnormal connection disconnection rate. The embodiment of this application takes the connection success rate and the abnormal connection disconnection rate as examples for explanation. Among them, the obtained current connection success rate is p, and the current abnormal connection disconnection rate is q, that is, R _smf includes p and q. Further, m is the proportion of p in 1, and the value range of m is 0 ≤ m ≤ 1. You can set m to be the weight of the connection success rate p (this weight m is different from the weight of the above reliability), and then ( 1-m) is the weight of the abnormal connection disconnection rate q. You can also set a base score for the control surface reliability index score. For example, the base score can be 100 points. Then, the current connection success rate p and abnormal connection disconnection rate q can be weighted by m, and the control surface reliability index score can be further calculated based on the calculated value and the basic score (100 points). The specific calculation process is shown in Formula 5:

100*(m*p+(1-m)*(1-q)) Formula 5

3.2. Calculation of user surface reliability index scores

The user plane reliability index can specifically be BLER, that is, R _upf can be BLER. The calculation method of the user plane reliability index score can be the same or similar to the calculation method of the uplink delay single index score. Set a threshold range for the user plane reliability index value (BLER), and apply it to the above formula 4 to set the threshold value. The range is replaced with the threshold range of BLER, x is replaced with the value of BLER, and then the user plane reliability index score is calculated.

The method of calculating the network quality score based on the calculated individual indicator scores and the weight of each KPI (indicator) is as follows:

In one implementation, the network quality score can be calculated through the following formula 6:

Among them, QoE _final represents the calculated network quality score of the current scenario type, and ω _{KPI_i} represents the weight of the i-th KPI (that is, one of the above W1 to W7), which needs to be satisfied Qoe _{KPI_i} represents the single indicator score of the i-th KPI. Among them, the range of the calculated network quality score QoE _final of the current scenario type is [0,100], that is, the calculated minimum value is 0, and the calculated maximum value is 100.

In one implementation, identification information can be set for each KPI. For example, a serial number can be set for each KPI. The specific setting method is as shown in Table 1:

Table I

Serial numberi KPI_i indicator KPI_i weight 1 Upstream delay W1 2 Downstream delay W2 3 RTT delay W3 4 Uplink rate W4 5 Downlink rate W5 6 Control surface reliability W6 7 User surface reliability W7 8 connection density /

According to Table 1, it can be seen that the weights of reliability settings are divided into control plane reliability weights and user plane reliability weights. Among them, the control plane reliability weight is W6 and the user plane reliability uses weight W7.

The calculation methods of network quality scores in various scenario types are described below through multiple embodiments.

Embodiment 1

If the current scenario type of the electronic device is uRLLC, the corresponding KPIs for measuring the uRLLC scenario can be delay (uplink delay and downlink delay) and reliability (user plane reliability and control plane reliability).

Among them, the uplink delay index value T _{ul_delay} can be calculated through the above formula 1 or formula 2, and the downlink delay index value T _{dl_delay} can be obtained through the above formula 3. Further, the user plane reliability (R _upf ), control plane reliability (R _smf ) and BLER are obtained. In this way, the indicator values of each KPI that measure the uRLLC scenario are obtained.

After obtaining the indicator values of each KPI measuring the uRLLC scenario, the indicator values of each KPI measuring the uRLLC scenario can be converted into corresponding indicator scores. Among them, the uplink delay index value T _{ul_delay} , the downlink delay index value T _{dl_delay} , and the user plane reliability (R _upf ) can be calculated through the above formula 4 to obtain the index scores corresponding to each index value. It should be noted that [T _min , T _max ] is the threshold range corresponding to the current calculated indicator value, that is, during the calculation process, the threshold range can be adaptively adjusted to the threshold range corresponding to the current calculated indicator value. The index score corresponding to the index value (R _smf ) of the control surface reliability can be calculated through Formula 5. In this way, the index scores of each KPI that measure the uRLLC scenario are obtained.

After obtaining the indicator scores for measuring each KPI of the uRLLC scenario, the network quality score QoE _final of the uRLLC scenario can be calculated according to the above formula 6.

Embodiment 2

If the current scenario type of the electronic device is mMTC, the KPI for measuring the mMTC scenario can be connection density. The connection density provided by the base station can be obtained, that is, the indicator value of the KPI that measures the mMTC scenario can be obtained.

After obtaining the indicator value measuring the KPI of the mMTC scenario, the indicator value measuring the KPI of the mMTC scenario can be converted into the corresponding indicator score. Specifically, the indicator score corresponding to the connection density can be calculated by the above formula 4, which will not be described in detail here. .

After obtaining the indicator scores that measure the KPI of the mMTC scenario, the network quality score QoE _final of the mMTC scenario can be calculated according to the above formula 6.

Embodiment 3

If the current scenario type of the electronic device is eMBB, for example, the current service type is a game, and the KPIs selected for the game service are uplink delay, downlink delay, RTT delay, uplink rate, downlink rate and reliability.

Obtain the indicator value of the KPI selected for the game business, that is, obtain the indicator value of the uplink delay (T _{ul_delay} ), the indicator value of the downlink delay (T _{dl_delay} ), the indicator value of the RTT delay (RTT), and the indicator value of the uplink rate. (Tx), the index value of the uplink rate (Rx), the index value of the user plane reliability (R _upf ) and the index value of the control plane reliability (R _smf ). The acquisition method will not be described again.

After obtaining the indicator values of the KPIs selected for the game business, the indicator values of the KPIs selected for the game business can be converted into corresponding indicator scores. Among them, the index value of uplink delay (T _{ul_delay} ), the index value of downlink delay (T _{dl_delay} ), the index value of RTT delay (RTT), the index value of uplink rate (Tx), the index value of uplink rate (Rx ) and the user plane reliability index value (R _upf ) can be calculated through the above formula 4 to obtain the index score corresponding to each index value. It should be noted that [T _min , T _max ] is the threshold range corresponding to the current calculated index value. That is, during the calculation process, the threshold range can be adaptively adjusted to the threshold range corresponding to the current calculated index value. The index score corresponding to the index value (R _smf ) of the control surface reliability can be calculated through Formula 5. In this way, the indicator scores for measuring the KPIs selected for the eMBB scenario game business are obtained.

After obtaining the indicator scores that measure the KPI for the eMBB scenario game service, the network quality score QoE _final for the eMBB scenario game service can be calculated according to the above formula 6.

In one implementation, the network quality information may be the network quality score QoE _final calculated above.

Step 302: Display the corresponding network quality icon on the electronic device according to the network quality information.

In one implementation, the network quality icon corresponding to the current network quality score QoE _final match can be obtained according to the calculation, wherein the generated network quality icon can directly reflect the current network quality level.

In one implementation, the network quality icon may be a network quality level icon. Among them, the value range of the network quality score QoE _final can be divided into score levels [0,100], and the corresponding network quality level icon can be configured for each score level. For example, the value range [0,100] of the network quality score QoE _final can be divided into six levels. Correspondingly, the six score levels correspond to six intensity network quality level icons, as shown in Table 2:

Table II

Network quality score rating Network quality level icon QoE _final =0 QoE 0 grid 0＜QoE _final ≤20 QoE 1 grid 20＜QoE _final ≤40 QoE 2 grid 40＜QoE _final ≤60 QoE 3 grid 60＜QoE _final ≤80 QoE 4 grid 80＜QoE _final ≤100 QoE 5 grid

Figure 4 is a schematic diagram of a network quality level icon provided by an embodiment of the present application. Referring to Figure 4, users can determine the current network quality level through network quality level icons of different levels.

In other implementations, other styles of network quality level icons can also be used. For example, the current network quality level can be reflected by icons of different colors. Specifically, if QoE _final <20, the corresponding red icon will be used; if 20 <QoE _{If final} ≤ 60, it corresponds to a yellow icon; if 60 < QoE _final ≤ 100, it corresponds to a green icon. The embodiment of the present application does not limit the style of the network quality level icon.

In one implementation, in order to enable the user to quickly and directly understand the current network quality, a matched network quality icon can be displayed on the user interface of the user electronic device (UE). For example, the signal of the user electronic device can be displayed on the user interface. The network quality icon is added to the column, which can succinctly display the QoE experience that the current network can bring to users, so that users can manage their own Internet access expectations.

In one implementation, a UI display may also be provided in the UE system menu.

Figure 5 is a schematic diagram showing network quality information provided by an embodiment of the present application.

Since the display space and display content of the signal bar of the electronic device are limited, users cannot learn detailed information about the network quality from the signal bar. Therefore, in addition to displaying the network quality icon in the signal bar, as shown in Figure 5, detailed KPI display can also be performed in the system menu, so that users can understand in detail the actual indicator values of each KPI in the current network quality information. And the KPI value is updated after each calculation.

FIG. 6 is a schematic structural diagram of an electronic device provided by an embodiment of the present application.

Referring to FIG. 6 , the electronic device may include: a processor 601 and a memory 602 . The memory 602 is used to store at least one instruction. The instruction is loaded and executed by the processor 601 to implement the network quality assessment provided by any embodiment of the present application. method.

Embodiments of the present application also provide a computer-readable storage medium on which a computer program is stored. When the computer program is executed by a processor, the network quality assessment method provided by any embodiment of the present application is implemented.

Those skilled in the art can clearly understand that for the convenience and simplicity of description, the specific working processes of the above-described systems, devices and units can be referred to the corresponding processes in the foregoing method embodiments, and will not be described again here.

In the several embodiments provided in this application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are only illustrative. For example, the division of the units is only a logical function division. In actual implementation, there may be other division methods. For example, multiple units or components may be combined. Either it can be integrated into another system, or some features can be ignored, or not implemented. On the other hand, the coupling or direct coupling or communication connection between each other shown or discussed may be through some interfaces, and the indirect coupling or communication connection of the devices or units may be in electrical, mechanical or other forms.

The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place, or they may be distributed to multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

In addition, each functional unit in each embodiment of the present application can be integrated into one processing unit, each unit can exist physically alone, or two or more units can be integrated into one unit. The above integrated unit can be implemented in the form of hardware or in the form of hardware plus software functional units.

The above-mentioned integrated unit implemented in the form of a software functional unit can be stored in a computer-readable storage medium. The above-mentioned software functional unit is stored in a storage medium and includes a number of instructions to cause a computer device (which can be a personal computer, server, or network device, etc.) or processor (Processor) to execute the methods described in various embodiments of this application. Some steps. The aforementioned storage media include: U disk, mobile hard disk, read-only memory (ROM), random access memory (RAM), magnetic disk or optical disk and other media that can store program code. .

The above are only preferred embodiments of the present application and are not intended to limit the present application. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present application shall be included in the present application. within the scope of protection.

Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present application, but not to limit it; although the present application has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that: The technical solutions described in the foregoing embodiments can still be modified, or some or all of the technical features can be equivalently replaced; and these modifications or substitutions do not deviate from the essence of the corresponding technical solutions from the technical solutions of the embodiments of the present application. scope.

Claims (8)

1. A network quality assessment method, characterized by being applied to an electronic device, the method comprising:

acquiring current network quality information of the electronic equipment;

matching corresponding network quality icons according to the network quality information; and

displaying the network quality icon on the electronic device;

the obtaining the current network quality information of the electronic equipment comprises the following steps:

determining a current scene type of the electronic equipment, wherein the scene type of the electronic equipment comprises: the mobile broadband, ultra-high reliability and ultra-low delay service and mass Internet of things communication are enhanced; and

acquiring an index value of a key performance index corresponding to a current scene of the electronic equipment;

Converting the obtained index value into a network quality score of the current scene;

the key performance indicators include one or more of the following: the method comprises the steps of uplink speed, downlink speed, uplink time delay, downlink time delay, RTT time delay, connection density and reliability, wherein the connection density is the ratio of the number of connected users of a base station connected with the electronic equipment to the coverage area of the base station, the reliability comprises the reliability of a user plane and the reliability of a control plane, the reliability of the control plane is determined through the connection success rate and/or the abnormal disconnection rate, and the reliability of the user plane is determined through the block error rate;

the key performance indexes corresponding to the ultra-high reliability and ultra-low delay service scene comprise the uplink delay, the downlink delay and the reliability;

the key performance indexes corresponding to the communication scene of the mass Internet of things comprise the connection density;

and selecting one or more key performance indexes as corresponding key performance indexes based on different service types in the enhanced mobile broadband scene.

2. The method of claim 1, wherein the translating the obtained index value into the network quality score for the current scene comprises:

Converting each index value of the key performance index corresponding to the current scene of the electronic equipment into a corresponding single index score respectively; and

and weighting each obtained single index score to obtain the network quality score of the current scene.

3. The method of claim 2, wherein converting each of the indicator values of the key performance indicators corresponding to the current scene of the electronic device into a corresponding single indicator score, respectively, comprises:

if the key performance index corresponding to the single index score to be calculated currently comprises the uplink rate, the downlink rate, the uplink delay, the downlink delay, the RTT delay, the connection density or the user plane reliability, calculating the single index score corresponding to the corresponding key performance index according to a first calculation flow, where the first calculation flow includes calculation according to the following formula:

wherein [ T ] _min ，T _max ]A threshold range, T, set for the key performance indicators _min The corresponding index score is H1, T _max The corresponding index score is H2, and x represents the index value;

if the key performance index corresponding to the single index score to be calculated currently comprises the control surface reliability, calculating the index score corresponding to the control surface reliability according to a second calculation flow, wherein the second calculation flow comprises the following formula:

100*(m*p+(1-m)*(1-q))

Wherein the current connection success rate is p, the current abnormal connection disconnection rate is q, m is the weight of the connection success rate p, (1-m) is the weight of the abnormal connection disconnection rate q, and 100 represents the basic score.

4. The method of claim 2, wherein weighting each of the single index scores obtained to obtain a network quality score for the current scene comprises calculating by the formula:

wherein QoE _final Representing the calculated network quality score, ω, of the current scene _{KPI_i} Representing the weight occupied by the ith key performance indicator,Qoe _{KPI_i} a single index score representing the i-th key performance index value.

5. The method of claim 1, wherein the network quality information comprises the network quality score;

matching the corresponding network quality icon according to the network quality information comprises:

matching corresponding network quality grade icons based on the score grades of the network quality scores;

the displaying the network quality icon on the electronic device includes:

and displaying the network quality grade icon in a signal column of the electronic equipment.

6. The method of claim 1, further comprising, after obtaining the index value of the key performance indicator corresponding to the current scene of the electronic device:

Updating the index value of the key performance index corresponding to the current scene in the system menu.

7. An electronic device, the electronic device comprising: a processor and a memory for storing at least one instruction which when loaded and executed by the processor implements the network quality assessment method according to any one of claims 1-6.

8. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the network quality assessment method according to any one of claims 1-6.