CN112996067B - Serving cell determination method, device and storage medium - Google Patents

Abstract

This application discloses a method, device and storage medium for determining a serving cell, which helps switch user equipment to a target cell whose service quality meets preset conditions, thereby improving user experience. The method includes: receiving first user information; A user information includes a first service type, first resource allocation information allocated by the source cell network device to the first user equipment in the source cell, and first location information of the first user equipment; the corresponding user experience is obtained according to the first user information Prediction value; sending user experience prediction information to the source cell network device; the user experience prediction information includes the first service type and the user experience prediction value; the source cell network device is a network device that manages the source cell; the user experience prediction information is used in the source cell The cell network equipment determines the target cell; the user experience prediction value of the target cell is greater than the threshold.

Description

Serving cell determination method, device and storage medium

Technical field

The present application relates to the field of communication technology, and in particular to a serving cell determination method, device and storage medium.

Background technique

When the user equipment moves between cells, handover of the cell to which the user equipment is connected will inevitably occur. Currently, before the user equipment switches cells, the source cell where the user equipment is located will send handover request messages to multiple target cells. The source cell receives the handover request response message and selects an appropriate target cell to send to the user equipment based on the handover request response message. Send switching command. In this method of determining the serving cell, the source side cell selects the target cell based on the user's signal quality.

In the above determination method of determining the target cell, the source side cell only considers whether the basic needs of the user equipment after switching to the target cell can be met, and does not consider the user experience after the user equipment switches to the target cell. When there are multiple candidate cells, In this case, the source side cell may select a congested target cell that can only meet the basic needs of users simply because the signal quality is good (for example, the signal strength is greater than the threshold), instead of selecting a target cell that can provide better service quality. to access. This may cause a significant drop in service quality after the user accesses, thus affecting the user experience.

Contents of the invention

This application provides a method, device, and storage medium for determining a serving cell, which helps switch user equipment to a target cell whose service quality meets preset conditions, thereby improving user experience.

In a first aspect, a serving cell determination method is provided, which is applied to candidate cell network equipment. The method includes: receiving first user information; the first user information includes a first service type, and the source cell network equipment is the first in the source cell. The first resource allocation information allocated by the user equipment and the first location information of the first user equipment; obtaining the corresponding user experience prediction value according to the first user information; the corresponding user experience prediction value is the predicted first user equipment switching to the candidate cell In the case of a candidate cell managed by the network device, the user experience value when performing the service of the first service type; sending user experience prediction information to the source cell network device; the user experience prediction information includes the first service type and the user experience prediction value ; The source cell network device is a network device that manages the source cell; the user experience prediction value is used by the source cell network device to determine the target cell; the user experience prediction value of the target cell is greater than the threshold.

In the embodiment of the present application, after receiving the first user information, the candidate cell network device obtains the corresponding user experience prediction value based on the first user information, and sends the user experience prediction value to the source cell network device. The user experience prediction value The value is used by the source cell network equipment to determine the target cell from the candidate cells. The user experience prediction value of the target cell is greater than the threshold. This can ensure that the first user equipment switches to a service that can provide satisfactory services for the first service type of the first user equipment. Preset conditions for service quality of target cells, thereby improving user experience.

In a possible implementation, the above-mentioned obtaining the corresponding user experience prediction value based on the first user information includes: obtaining the second resource allocation information based on the first user information; sending the second resource allocation information and the third resource allocation information to the data processing center. 1. Location information; receiving the second resource allocation information obtained by the data processing center and the user experience prediction value corresponding to the first location information.

In another possible implementation, the method further includes: sending second user information of the second user equipment to the data processing center; the second user information includes third resource allocation information, second location information, and a second service type. the second user experience value; the second user experience value is the user experience value of the second user equipment when performing services of the second service type; the second user information is used for the data processing center to establish resource allocation information, location information and user Correspondence of experience values; this correspondence is used by the data processing center to obtain the user experience prediction value corresponding to the second resource allocation information and the first location information.

In another possible implementation manner, the second user experience value is determined based on signal quality and evaluation index information of the second service type.

In a second aspect, a method for determining a serving cell is provided, which is applied to source cell network equipment. The method includes: obtaining first user information; the first user information includes a first service type, and the source cell network equipment is the first user in the source cell. The first resource allocation information allocated by the user equipment and the first location information of the first user equipment; sending the first user information to multiple candidate cells; the first user information is used for each candidate cell to obtain the corresponding user experience prediction value; corresponding The user experience prediction value is the predicted user experience value when performing services of the first service type when the first user equipment is switched to a candidate cell managed by the candidate cell network device; receiving user experience predictions sent by multiple candidate cells Information; the user experience prediction information includes the first service type and the user experience prediction value; according to the user experience prediction information of the multiple candidate cells, the target cell is determined from the multiple candidate cells; the user experience prediction value corresponding to the target cell is greater than the threshold.

In the embodiment of the present application, the source cell network device sends the first user information to multiple candidate cell network devices, so that each candidate cell obtains the user experience prediction value based on the first user information, and then receives the user experience prediction value of the multiple candidate cells. , determine the target cell from the candidate cells according to the received user experience prediction value. The user experience prediction value of the target cell is greater than the threshold. This can ensure that the first user equipment switches to a service that can provide the first service type of the first user equipment. Target cells whose service quality meets preset conditions, thereby improving user experience.

In a third aspect, a network device is provided, which can be used to perform any method provided in any possible implementation manner of the above-mentioned first aspect to the first aspect.

According to the third aspect, in a first possible implementation manner of the third aspect, the network device includes a plurality of functional modules, and the plurality of functional modules are respectively configured to perform corresponding steps in any method provided in the first aspect.

According to the third aspect, in a second possible implementation manner of the third aspect, the network device may include a processor, and the processor is configured to perform the above-mentioned first aspect to provide in any one possible implementation manner of the first aspect. any method. The network device may also include memory for storing computer programs. So that the processor can call the computer program to perform any method provided in any possible implementation manner of the above-mentioned first aspect to the first aspect.

A fourth aspect provides a serving cell determination device, which can be used to perform any method provided in any of the possible implementations of the second aspect to the second aspect.

According to the fourth aspect, in a first possible implementation manner of the fourth aspect, the serving cell determination device includes a plurality of functional modules, and the plurality of functional modules are respectively used to perform corresponding steps in any of the methods provided in the second aspect. step.

According to the fourth aspect, in the second possible implementation manner of the fourth aspect, the serving cell determination device may include a processor, the processor being configured to execute any one of the above second possible implementation manners of the second aspect to the second aspect. any of the methods provided in . The serving cell determination device may further include a memory for storing a computer program. So that the processor can call the computer program for executing any method provided in any possible implementation manner of the above-mentioned second aspect to the second aspect.

In a fifth aspect, the present application provides a chip system, which is applied to computer equipment. The chip system includes one or more interface circuits and one or more processors. The interface circuit and the processor are interconnected through lines; the interface circuit is used to receive signals from the memory of the computer device and send the signals to the processor, where the signals include data stored in the memory. Computer instructions. When the processor executes the computer instructions, the computer device performs the method described in any one of the possible implementations of the first aspect to the first aspect. Alternatively, perform the method described in any one of the possible implementations of the second aspect to the second aspect.

In a sixth aspect, the present application provides a computer-readable storage medium. The computer-readable storage medium includes computer instructions. When the computer instructions are run on a computer device, the computer device causes the computer device to perform the first aspect to the first aspect. The method described in any possible implementation manner of the aspects. Alternatively, perform the method described in any one of the possible implementations of the second aspect to the second aspect.

In a seventh aspect, the present application provides a computer program product. The computer program product includes computer instructions. When the computer instructions are run on a computer device, the computer device causes the computer device to execute any one of the first aspect to the first aspect. possible implementation methods. Alternatively, perform the method described in any one of the possible implementations of the second aspect to the second aspect.

It can be understood that any of the serving cell determination devices, network equipment, computer-readable storage media, computer program products or chip systems provided above can be applied to the corresponding methods provided above. Therefore, they can For the beneficial effects achieved, please refer to the beneficial effects in the corresponding method, which will not be described again here.

These and other aspects of the present application will be more clearly understood in the following description.

Description of the drawings

Figure 1 is a schematic diagram of a network structure applicable to the technical solution provided by the embodiment of the present application;

Figure 2 is a schematic structural diagram of an electronic device to which the technical solution provided by the embodiment of the present application is applicable;

Figure 3 is a schematic flowchart of a serving cell determination method provided by an embodiment of the present application;

Figure 4 is a schematic flowchart of obtaining the corresponding user experience prediction value according to the first user information;

Figure 5 is a schematic structural diagram of a network device provided by an embodiment of the present application;

Figure 6 is a schematic structural diagram of a serving cell determination device provided by an embodiment of the present application.

Detailed ways

In the embodiments of this application, words such as "exemplary" or "for example" are used to represent examples, illustrations or explanations. Any embodiment or design described as "exemplary" or "such as" in the embodiments of the present application is not to be construed as preferred or advantageous over other embodiments or designs. Rather, use of the words "exemplary" or "such as" is intended to present the concept in a concrete manner.

In the embodiments of this application, "at least one" refers to one or more. "Plural" means two or more.

In the embodiment of this application, "and/or" is just an association relationship describing associated objects, indicating that there can be three relationships, for example, A and/or B, which can mean: A alone exists, and A and A exist simultaneously. B, there are three situations of B alone. In addition, the character "/" in this article generally indicates that the related objects are an "or" relationship.

In this embodiment of the present application, the combination includes one or more objects.

The serving cell determination method provided by the embodiment of the present application can be applied to the network structure as shown in Figure 1. The network structure includes a source cell network device 10, at least one candidate cell network device 20 and a data processing center 30. The source cell network device 10 is connected to the candidate cell network device 20 and the data processing center 30 respectively.

The source cell network device 10 may communicate with one or more candidate cell network devices 20 via a radio access network (RAN). Both the source cell network device 10 and the candidate cell network device 20 may be global mobile communications (RAN) devices. A base transceiver station (BTS) in a system for mobile communications (GSM) system or a code division multiple access (CDMA) system, or a base station (node B, NB) in a WCDMA system, or An evolutionary base station (eNB or eNode B) in a long term evolution (LTE) system, or both the source cell network device 10 and the candidate cell network device 20 can be relay stations, access points, vehicle-mounted equipment, wearable devices, network side equipment in future 5G networks or network equipment in future evolved public lands mobile network (PLMN) networks, etc.

The data processing center 30 may be a virtual server (such as a cloud computing center), a separate server device or a server cluster, or the functions of the data processing center 30 are integrated into a network device (such as a base station). This application does not limit the existence form of the data processing center 30.

It can be understood that the source cell network device 10 and the candidate cell network device 20 may be the same network device, or may belong to different network devices, which is not limited in this application. The above-mentioned source cell network equipment 10 and candidate cell network equipment 20 are relative concepts. When a user equipment is ready to switch from the candidate cell network equipment 20 to the source cell network equipment 10, then the candidate cell network equipment 20 is relative to The user equipment is the source cell network device, and the source cell network device 10 is the candidate cell network device.

It can be understood that the embodiments of the present application can be applied to LTE systems and subsequent evolution systems such as 5G, or other wireless communication systems that adopt various wireless access technologies, such as code division multiple access, frequency division multiple access, and time division. Systems with multiple access, orthogonal frequency division multiple access, single carrier frequency division multiple access and other access technologies are especially suitable for scenarios that require channel information feedback and/or the application of two-level precoding technology, such as wireless networks using Massive MIMO technology. , wireless networks applying distributed antenna technology, etc.

In a possible implementation manner, the above-mentioned source cell network equipment 10, candidate cell network equipment 20 and data processing center 30 can all be implemented by an electronic device as shown in Figure 2. The electronic device 40 shown in FIG. 2 may include at least one low-power processor 401, a communication line 402, a memory 403, and at least one communication interface 404.

The processor 401 may be a general central processing unit (CPU), a microprocessor, an application-specific integrated circuit (ASIC), or one or more processors for controlling the execution of the program of the present application. integrated circuit.

Communication line 402 may include at least one path, such as a data bus, and/or a control bus, for transmitting information between the above-mentioned components (such as at least one processor 401, communication line 402, memory 403, and at least one communication interface 404).

The communication interface 404 uses any device such as a transceiver to communicate with other devices or communication networks, such as wide area networks (WAN), local area networks (LAN), etc. For example, the data sent by the session management function network element 30 in the network structure shown in Figure 1 can be received, or the data can be sent to the session management function network element 30.

Memory 403 may be a read-only memory (ROM) or other types of static storage devices that can store static information and instructions, a random access memory (random access memory, RAM) or other types of static storage devices that can store information and instructions. type of dynamic storage device, which can also be electrically erasable programmable read-only memory (EEPROM), compactdisc read-only memory (CD-ROM) or other optical disk storage, optical disk storage (including compressed optical discs, laser discs, optical discs, digital versatile discs, Blu-ray discs, etc.), disk storage media or other magnetic storage devices, or can be used to carry or store desired program code in the form of instructions or data structures and can be used by a computer Any other medium for access, but not limited to this. The memory 403 may exist independently and be connected to the processor 401 through a communication line 402. Memory 403 may also be integrated with processor 401. The memory 403 provided by the embodiment of the present application generally includes non-volatile memory. Among them, the memory 403 is used to store computer instructions for executing the solution of the present application, and is controlled by the processor 401 for execution. The processor 401 is used to execute computer instructions stored in the memory 403, thereby implementing the methods provided by the following embodiments of the application.

Storage 403 includes internal memory and hard disk. When the electronic device 40 is a network device, the hardware forwarding table and the flow table are stored in the memory.

Optionally, the computer instructions in the embodiments of the present application may also be called application codes or systems, which are not specifically limited in the embodiments of the present application.

It should be noted that the electronic device shown in FIG. 2 is only an example, and it does not limit the electronic devices applicable to the embodiments of the present application. In actual implementation, the electronic device may include more or less devices or components than those shown in FIG. 2 .

The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are only some of the embodiments of the present application, rather than all of the embodiments. 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.

Before implementing the serving cell determination method provided by this application, it is necessary to establish the corresponding relationship between resource allocation information, location and user experience information. Or, train a data model based on this correspondence.

Specifically, first, the data processing center obtains multiple user information in this cell collected by network devices in multiple cells. The user information includes resource allocation information of the user equipment, user experience information of the user equipment performing a specific service type, and location information of the user equipment (such as the estimated location reported by SRS). Among them, the user experience information includes the signal quality of the user equipment and the evaluation index information of the service type. Among them, the evaluation indicator information of the service type is determined according to the service type of the service performed by the user equipment. For example, if the service type is a video service, the indicators are packet loss and delay, and the indicators of the delay-sensitive service are jitter and other information. The resource allocation information of the user equipment includes the physical resources and modulation level (also called code rate) allocated to the user equipment in the cell where the user equipment is located.

Then, the data processing center analyzes the obtained multiple user information and obtains the corresponding relationship between resource allocation information, location and user experience value. Alternatively, the data processing center performs modeling based on the acquired multiple user information, and obtains a data model based on the correspondence between resource allocation information, location, and user experience value. Among them, the user experience value is determined based on the above user experience information. It is understandable that after the data model is established in the data processing center, user information can also be periodically obtained to optimize the established data model.

The embodiments of this application are not limited to the manner in which the above data processing center obtains multiple user information. In a possible implementation, each network device communicating with the data processing center obtains the user information in the community it manages. Periodically report to the data processing center. In another possible implementation, the data processing center reads multiple user information locally.

Figure 3 shows a schematic flowchart of a serving cell determination method provided by an embodiment of the present application. This method can be applied to the system structure shown in Figure 1. As shown in Figure 3, the method may include the following steps:

S100: The source cell network device obtains the first user information; the first user information includes the first service type, the first resource allocation information allocated by the source cell network device to the first user equipment in the source cell, and the first user equipment's first user information. location information.

The first resource allocation information includes physical resource information and modulation level (also called code rate) allocated by the source cell network device to the first user equipment, etc., and the first location information is the current location information of the first user equipment.

S101: The source cell network device sends the first user information to multiple candidate cell network devices.

In a possible implementation manner, the source cell network device individually sends the first user information to multiple candidate cell network devices.

In another possible implementation manner, the source cell network device sends handover request messages to multiple candidate cells. The handover request message includes first user information.

In one example, the format of the handover request message sent by the source cell network device is as follows:

Add sourceQoEInfo information to the AS-Config message. Since the first user equipment may have multiple service types, it is expressed in the form of a list. The list includes the first business type. The list may only include the first service type, or may include other service types different from the first service type, which is not limited in this application. For each service type, the AS-Config includes the first resource allocation information (also called bearer resource information) of the first user equipment in the source cell. Optionally, in addition to the first resource allocation information, the QoE-Info includes the first location information and the first user experience information of the first service type. For example, the value of serviceType in the QoE-Info represents the service type, and QoEGrade The value represents the user experience information of the first service type service of the first user equipment in the source cell (such as the first user experience information and the RSRP value of the candidate cell measured by the first user equipment).

S102: The candidate cell network device obtains the corresponding user experience prediction value according to the first user information; the corresponding user experience prediction value is the case where the first user equipment predicted by the candidate cell network device switches to the candidate cell managed by the candidate cell network device. , the user experience value when performing the first service type.

In a possible implementation manner, the candidate cell network device obtains the corresponding user experience prediction value through the method shown in Figure 4. Figure 4 is a schematic flowchart of obtaining the corresponding user experience prediction value according to the first user information. The method shown in Figure 4 includes the following steps:

S1021: The candidate cell network device obtains the second resource allocation information according to the first user information.

Specifically, the candidate cell network device predicts the second resource allocation information allocated to the first user equipment based on the first resource allocation information. The second resource allocation information includes physical resource information and modulation level (also called code rate).

S1022: The candidate cell network device sends the second resource allocation information and the first location information to the data processing center.

S1023: The data processing center obtains the second resource allocation information and the user experience prediction value corresponding to the first location information.

In a possible implementation, the data processing center obtains the user experience value corresponding to the second resource allocation information and the first location information as the corresponding Predictive value of user experience.

In another possible implementation, the data processing center inputs the second resource allocation information and the first location information into the prediction model, and predicts the user experience prediction value corresponding to the second resource allocation information and the first location information.

S1024: The data processing center sends the obtained user experience prediction value to the candidate cell network device.

The candidate cell network device receives the second resource allocation information and the user experience prediction information corresponding to the first location information. At this point, the candidate cell network device obtains the user experience prediction information corresponding to the candidate cell, that is, the second resource allocation information and the first location information. Corresponding user experience prediction information.

S103: The candidate cell network device sends user experience prediction information to the source cell network device; the user experience prediction information includes the first service type and the obtained user experience prediction value corresponding to the candidate cell.

In a possible implementation manner, the candidate cell network device sends the obtained user experience prediction information corresponding to the candidate cell to the source cell network device in a separate message.

In another possible implementation manner, the candidate cell network device sends the obtained user experience prediction information corresponding to the candidate cell to the source cell network device through a handover preparation response message.

In an example, the format of the handover prepare response message is as follows:

QoE-Grade-Info is used to characterize the corresponding user experience prediction information. The user experience prediction information includes the service type (serviceType) and the corresponding user experience prediction value (QoEGrade).

S104: The source cell network device determines the target cell from the multiple candidate cells based on the user experience prediction information of the multiple candidate cells. The predicted user experience value corresponding to the target cell is greater than the threshold.

Specifically, the source cell network device selects at least one candidate cell with a user experience prediction value greater than a threshold from the obtained user experience prediction information corresponding to multiple candidate cells, and then determines the target cell from the at least one candidate cell.

In the embodiment of the present application, the source cell network device sends the first user information of the first user equipment to multiple candidate cell network devices, so that the multiple candidate cell network devices predict that the first user equipment switches to the candidate based on the first user information. The user experience prediction information of the cell is received and the obtained user experience prediction information is sent to the source cell network device. In this way, the source cell network device can determine the target cell whose user experience prediction value is greater than the threshold based on the received user experience prediction information. When the first user equipment switches to the target cell, service quality that meets preset conditions can be provided for the first service type of the first user equipment, so as to improve user satisfaction.

The above mainly introduces the solutions provided by the embodiments of the present application from the perspective of methods. In order to realize the above functions, it includes hardware structures and/or software modules corresponding to each function. Those skilled in the art should easily realize that the method steps of each example described in conjunction with the embodiments disclosed herein, the present application can be implemented in the form of hardware or a combination of hardware and computer software. Whether a function is performed by hardware or computer software driving the hardware depends on the specific application and design constraints of the technical solution. Skilled artisans may implement the described functionality using different methods for each specific application, but such implementations should not be considered beyond the scope of this application.

Embodiments of the present application can divide the network device into functional modules according to the above method examples. For example, each functional module can be divided into corresponding functional modules, or two or more functions can be integrated into one processing module. The above integrated modules can be implemented in the form of hardware or software function modules. It should be noted that the division of modules in the embodiment of the present application is schematic and is only a logical function division. In actual implementation, there may be other division methods.

As shown in Figure 5, it is a schematic structural diagram of a network device provided by an embodiment of the present application. The network device 50 may be used to perform the functions performed by the candidate cell network device in any of the above embodiments (the embodiments shown in FIG. 3 and FIG. 4). The network device 50 includes: a receiving module 501, an obtaining module 502, and a sending module 503, which are used to receive first user information; the first user information includes a first service type, a first service type allocated by the source cell network device to the first user equipment in the source cell. The first resource allocation information and the first location information of the first user equipment; the acquisition module 502 is used to obtain the corresponding user experience prediction value according to the first user information; the corresponding user experience prediction value is the predicted first user equipment to switch to In the case of a candidate cell managed by a candidate cell network device, the user experience value when performing a service of the first service type; the sending module 503 is configured to send user experience prediction information to the source cell network device; the user experience prediction information includes the first Service type and user experience prediction value; the source cell network equipment is the network equipment that manages the source cell; the user experience prediction information is used by the source cell network equipment to determine the target cell; the user experience prediction value of the target cell is greater than the threshold. For example, with reference to Figure 3, the receiving module 501 can be used to perform the receiving step in S101, and the obtaining module 502 can be used to perform S102. The sending module 503 may be used to perform the sending step in S103.

Optionally, the obtaining module 502 is specifically configured to: obtain the second resource allocation information according to the first user information; the sending module 503 is also used to send the second resource allocation information and the first location information to the data processing center; the receiving module 501 is also used to receive the second resource allocation information obtained by the data processing center and the user experience prediction value corresponding to the first location information.

Optionally, the sending module 503 is also configured to: send second user information of the second user equipment to the data processing center; the second user information includes third resource allocation information, second location information, and second users of the second service type. Experience value; the second user experience value is the user experience value of the second user equipment when performing services of the second service type; the second user information is used by the data processing center to establish the corresponding relationship between resource allocation information, location information and user experience value ; This corresponding relationship is used by the data processing center to obtain the user experience prediction value corresponding to the second resource allocation information and the first location information.

Optionally, the second user experience value is determined based on signal quality and evaluation index information of the second service type.

In one example, referring to FIG. 2 , the sending function of the sending module 503 and the receiving function of the receiving module 501 can be implemented by the communication interface 404 in FIG. 2 . The above-mentioned processing functions of the sending module 503, the processing functions of the receiving module 501, and the acquisition module 502 can be implemented by the processor 401 in Figure 2 calling the computer program stored in the memory 403.

For specific descriptions of the above optional methods, refer to the foregoing method embodiments, and will not be described again here. In addition, the explanation and description of the beneficial effects of any of the network devices 50 provided above may refer to the corresponding method embodiments above, and will not be described again.

It should be noted that the actions performed by each module mentioned above are only specific examples. For the actions actually performed by each unit, refer to the actions or steps mentioned in the above description based on the embodiments described in FIG. 3 and FIG. 4 .

As shown in FIG. 6 , it is a schematic structural diagram of a serving cell determination device 60 provided by an embodiment of the present application. The serving cell determining device 60 may be used to perform the functions performed by the source cell network equipment in any of the above embodiments (the embodiment shown in FIG. 3). The serving cell determination device 60 includes: an acquisition module 601, a sending module 602, a receiving module 603 and a determining module 604. The acquisition module 601 is used to acquire first user information; the first user information includes a first service type, the source cell The first resource allocation information allocated by the network device to the first user equipment in the source cell and the first location information of the first user equipment; the sending module 602 is configured to send the first user information to multiple candidate cells; the first user information It is used for each candidate cell to obtain the corresponding user experience prediction value; the corresponding user experience prediction value is when the predicted first user equipment switches to the candidate cell managed by the candidate cell network device and performs the service of the first service type. The user experience value of The user experience prediction information determines the target cell from multiple candidate cells; the user experience prediction value corresponding to the target cell is greater than the threshold. For example, with reference to Figure 3, the obtaining module 601 can be used to perform S100, the sending module 602 can be used to perform the sending step in S101, the receiving module 603 can be used to perform the receiving step in S103, and the determining module 604 can be used to perform S104.

In one example, referring to FIG. 2 , the receiving function of the receiving module 603 and the sending function of the sending module 602 can be implemented by the communication interface 404 in FIG. 2 . The above-mentioned processing functions of the receiving module 603, the processing function acquisition module 601 and the determining module 604 of the sending module 602 can all be implemented by the processor 401 in Figure 2 calling the computer program stored in the memory 403.

For specific descriptions of the above optional methods, refer to the foregoing method embodiments, and will not be described again here. In addition, the explanation and description of the beneficial effects of any of the serving cell determination devices 60 provided above may refer to the corresponding method embodiments above, and will not be described again.

It should be noted that the actions performed by each module mentioned above are only specific examples. For the actions actually performed by each unit, refer to the actions or steps mentioned in the description of the embodiment based on FIG. 3 .

An embodiment of the present application also provides a computer device, including: a memory and a processor; the memory is used to store a computer program, and the processor is used to call the computer program to execute the steps mentioned in any of the embodiments provided above. action or step.

Embodiments of the present application also provide a computer-readable storage medium. A computer program is stored on the computer-readable storage medium. When the computer program is run on a computer, it causes the computer to execute any of the embodiments provided above. The action or step mentioned.

An embodiment of the present application also provides a chip. The chip integrates circuits and one or more interfaces for realizing the functions of the above network equipment. Optionally, the functions supported by the chip may include processing actions in the embodiment described based on FIG. 3 , which will not be described again here. Those of ordinary skill in the art can understand that all or part of the steps to implement the above embodiments can be completed by instructing relevant hardware through programs. The program may be stored in a computer-readable storage medium. The storage medium mentioned above may be a read-only memory, a random access memory, etc. The above-mentioned processing unit or processor may be a central processing unit, a general-purpose processor, an application specific integrated circuit (ASIC), a microprocessor (digital signal processor, DSP), or a field programmable gate array (FPGA). or other programmable logic devices, transistor logic devices, hardware components, or any combination thereof.

Embodiments of the present application also provide a computer program product containing instructions. When the instructions are run on a computer, they cause the computer to perform any of the methods in the above embodiments. The computer program product includes one or more computer instructions. When computer program instructions are loaded and executed on a computer, the processes or functions described in the embodiments of the present application are generated in whole or in part. The computer may be a general purpose computer, a special purpose computer, a computer network, or other programmable device. Computer instructions may be stored in or transmitted from one computer-readable storage medium to another computer-readable storage medium, e.g., computer instructions may be transmitted from a website, computer, server or data center via a wired (e.g. Coaxial cable, optical fiber, digital subscriber line (DSL)) or wireless (such as infrared, wireless, microwave, etc.) means to transmit to another website, computer, server or data center. Computer-readable storage media can be any available media that can be accessed by a computer or include one or more data storage devices such as servers and data centers that can be integrated with the media. Available media may be magnetic media (eg, floppy disk, hard disk, magnetic tape), optical media (eg, DVD), or semiconductor media (eg, solid state disk (SSD)), etc.

It should be noted that the above-mentioned devices for storing computer instructions or computer programs provided by the embodiments of the present application, such as but not limited to the above-mentioned memories, computer-readable storage media, communication chips, etc., are all non-transitory. .

In practicing the claimed application, those skilled in the art will understand and implement other changes to the disclosed embodiments by reviewing the drawings, the disclosure, and the appended claims. In the claims, the word "comprising" does not exclude other components or steps, and "a" or "an" does not exclude a plurality. A single processor or other unit may perform several of the functions recited in the claims. The mere fact that certain measures are recited in mutually different dependent claims does not mean that a combination of these measures cannot be combined to advantageous effects.

Although the present application has been described in conjunction with specific features and embodiments thereof, various modifications and combinations may be made without departing from the spirit and scope of the application. Accordingly, the specification and drawings are intended to be merely illustrative of the application as defined by the appended claims and are to be construed to cover any and all modifications, variations, combinations or equivalents within the scope of the application.

Claims (8)

1. A serving cell determination method, characterized in that it is applied to candidate cell network equipment, and the method includes: Receive first user information; the first user information includes a first service type, first resource allocation information allocated by the source cell network device to the first user equipment in the source cell, and first location information of the first user equipment. ; The first user information is included in the handover request message sent by the source cell network device; for each service type, the first resource allocation information of the first user equipment in the source cell is included in the AS-Config; in the QoE-Info Includes first location information and first user experience information of the first service type; the value of serviceType in QoE-Info represents the service type, and the value of QoEGrade represents the user experience of the first user equipment in the first service type of service in the source cell information; Obtain the corresponding user experience prediction value according to the first user information; when the corresponding user experience prediction value is predicted, when the first user equipment switches to the candidate cell managed by the candidate cell network device, perform The user experience value of the first service type; Send user experience prediction information to the source cell network device; the user experience prediction information includes the first service type and the user experience prediction value; the source cell network device is a network device that manages the source cell; The user experience prediction information is used by the source cell network device to determine the target cell; the user experience prediction value of the target cell is greater than a threshold; The obtaining the corresponding user experience prediction value according to the first user information includes: Obtain second resource allocation information according to the first user information; Send the second resource allocation information and the first location information to the data processing center; Receive the user experience prediction value corresponding to the second resource allocation information and the first location information obtained by the data processing center; The user experience prediction value corresponding to the second resource allocation information and the first location information is obtained based on the correspondence between the resource allocation information, location information, and user experience value. 2. The method according to claim 1, characterized in that, the method further comprises: Send second user information of the second user equipment to the data processing center; the second user information includes third resource allocation information, second location information and a second user experience value of the second service type; the second The user experience value is the user experience value of the second user equipment when performing the service of the second service type; The second user information is used by the data processing center to establish a corresponding relationship between resource allocation information, location information and user experience value; the corresponding relationship is used by the data processing center to obtain the second resource allocation information and the The user experience prediction value corresponding to the first location information. 3. The method of claim 2, wherein the second user experience value is determined based on signal quality and evaluation index information of the second service type. 4. A method for determining a serving cell, characterized in that it is applied to source cell network equipment, and the method includes: Obtain first user information; the first user information includes a first service type, first resource allocation information allocated by the source cell network device to the first user equipment in the source cell, and a first resource allocation information of the first user equipment in the source cell. location information; The first user information is included in the handover request message sent by the source cell network device; for each service type, the first resource allocation information of the first user equipment in the source cell is included in the AS-Config; in the QoE-Info Includes first location information and first user experience information of the first service type; the value of serviceType in QoE-Info represents the service type, and the value of QoEGrade represents the user experience of the first user equipment in the first service type of service in the source cell information; Send the first user information to multiple candidate cells; the first user information is used for each candidate cell to obtain the corresponding user experience prediction value; the corresponding user experience prediction value is the predicted first user equipment The user experience value when performing the service of the first service type when switching to the candidate cell managed by the candidate cell network device; Receive user experience prediction information sent by the plurality of candidate cells; the user experience prediction information includes the first service type and the user experience prediction value; Determine a target cell from the plurality of candidate cells according to the user experience prediction information of the plurality of candidate cells; the user experience prediction value corresponding to the target cell is greater than a threshold; The obtaining the corresponding user experience prediction value includes: Obtain second resource allocation information according to the first user information; Send the second resource allocation information and the first location information to the data processing center; Receive the user experience prediction value corresponding to the second resource allocation information and the first location information obtained by the data processing center; The user experience prediction value corresponding to the second resource allocation information and the first location information is obtained based on the correspondence between the resource allocation information, location information, and user experience value. 5. A network device, characterized by including: A receiving module, configured to receive first user information; the first user information includes a first service type, first resource allocation information allocated by the source cell network device to the first user equipment in the source cell, and the first user equipment. the first location information; The first user information is included in the handover request message sent by the source cell network device; for each service type, the first resource allocation information of the first user equipment in the source cell is included in the AS-Config; in the QoE-Info Includes first location information and first user experience information of the first service type; the value of serviceType in QoE-Info represents the service type, and the value of QoEGrade represents the user experience of the first user equipment in the first service type of service in the source cell information; An acquisition module configured to obtain a corresponding user experience prediction value according to the first user information; the corresponding user experience prediction value is the predicted situation when the first user equipment switches to a candidate cell managed by a candidate cell network device. , the user experience value when performing the service of the first service type; A sending module, configured to send user experience prediction information to a source cell network device; the user experience prediction information includes the first service type and the user experience prediction value; the source cell network device manages the source cell. Network equipment; the user experience prediction information is used by the source cell network equipment to determine the target cell; the user experience prediction value of the target cell is greater than a threshold; The acquisition module is specifically configured to: acquire second resource allocation information according to the first user information; The sending module is also configured to: send the second resource allocation information and the first location information to the data processing center; The receiving module is also configured to: receive the second resource allocation information and the user experience prediction value corresponding to the first location information obtained by the data processing center; the second resource allocation information and the first location The user experience prediction value corresponding to the information is obtained based on the correspondence between resource allocation information, location information and user experience value. 6. A device for determining a serving cell, characterized in that it includes: Obtaining module, configured to obtain first user information; the first user information includes a first service type, first resource allocation information allocated by the source cell network device to the first user equipment in the source cell, and the first user equipment. The first location information; the first user information is included in the handover request message sent by the source cell network device; for each service type, the AS-Config includes the first resource allocation information of the first user equipment in the source cell ; The QoE-Info includes the first location information and the first user experience information of the first service type; the value of serviceType in the QoE-Info represents the service type, and the value of QoEGrade represents the first service of the first user equipment in the source cell User experience information of type of business; A sending module, configured to send the first user information to multiple candidate cells; the first user information is used for each candidate cell to obtain the corresponding user experience prediction value; the corresponding user experience prediction value is the predicted user experience value. The user experience value when performing the service of the first service type when the first user equipment switches to the candidate cell managed by the candidate cell network device; A receiving module, configured to receive user experience prediction information sent by the plurality of candidate cells; the user experience prediction information includes the first service type and the user experience prediction value; A determination module, configured to determine a target cell from the plurality of candidate cells according to the user experience prediction information of the plurality of candidate cells; the user experience prediction value corresponding to the target cell is greater than a threshold; The acquisition module is specifically configured to: acquire second resource allocation information according to the first user information; The sending module is also configured to: send the second resource allocation information and the first location information to the data processing center; The receiving module is also configured to: receive the second resource allocation information and the user experience prediction value corresponding to the first location information obtained by the data processing center; the second resource allocation information and the first location The user experience prediction value corresponding to the information is obtained based on the correspondence between resource allocation information, location information and user experience value. 7. A computer device, characterized in that it includes: a memory and a processor, the memory is used to store a computer program, and the processor is used to execute the computer program to execute any one of claims 1-3. method, or to perform the method described in claim 4. 8. A computer-readable storage medium, characterized in that a computer program is stored on the computer-readable storage medium, and when the computer program is run on a computer, it causes the computer to execute any one of claims 1-3. The method described in claim 4, or performing the method described in claim 4.