WO2020147645A1

WO2020147645A1 - Link aggregation realization method and related product

Info

Publication number: WO2020147645A1
Application number: PCT/CN2020/071252
Authority: WO
Inventors: 黄园
Original assignee: Oppo广东移动通信有限公司
Priority date: 2019-01-14
Filing date: 2020-01-09
Publication date: 2020-07-23
Also published as: CN109618420A

Abstract

Disclosed are a link aggregation realization method and a related product. The method is applied to an electronic device, and comprises: performing network searching to obtain M wireless networks; acquiring a network state parameter of each network device in M network devices corresponding to M wireless networks to obtain M network state parameters; acquiring working mode information of at least one intelligent device corresponding to each network device in M network devices to obtain M pieces of working mode information; determining at least two target network devices in M network devices according to the M network state parameters and the M pieces of working mode information; and performing a link aggregation operation according to at least two target wireless networks corresponding to the at least two target network devices. Therefore, selecting at least two wireless networks with good network quality from a plurality of wireless networks to realize link aggregation can be realized, and data transmission efficiency is improved.

Description

Link aggregation implementation method and related products

Technical field

This application relates to the field of communication technology, and in particular to a link aggregation implementation method and related products.

Background technique

With the development of mobile communication technology, users’ demand for data communication is getting higher and higher. At present, electronic devices on the market (such as mobile phones, tablet computers, etc.) are more and more inclined to use link aggregation technology. The problem of road aggregation needs to be solved urgently.

Summary of the invention

The embodiments of the present application provide a link aggregation realization method and related products, which can realize link aggregation and improve data transmission efficiency.

In a first aspect, an embodiment of the present application provides a link aggregation implementation method, which is applied to an electronic device, and the method includes:

Perform a network search to obtain M wireless networks, the M wireless networks correspond to M network devices, the M wireless networks correspond to the M network devices in a one-to-one correspondence, and each network device of the M network devices Connect at least one smart device, M is an integer greater than 1;

Acquiring network state parameters of each of the M network devices to obtain M network state parameters;

Obtain working mode information of at least one smart device corresponding to each of the M network devices to obtain M working mode information, and each working mode information in the M working mode information includes at least one corresponding smart device The working mode of each smart device in the

Determine at least two target network devices among the M network devices according to the M network state parameters and the M work mode information, and perform the process according to the at least two target wireless networks corresponding to the at least two target network devices Link aggregation operation.

In the second aspect, an embodiment of the present application provides a link aggregation realization device, which is applied to electronic equipment, and the link aggregation realization device includes:

The search unit is configured to perform a network search to obtain M wireless networks, the M wireless networks correspond to M network devices, the M wireless networks correspond to the M network devices in a one-to-one correspondence, and the M network devices Each network device is connected to at least one smart device, and M is an integer greater than 1.

The obtaining unit is configured to obtain the network state parameters of each of the M network devices to obtain M network state parameters; and obtain the work of at least one smart device corresponding to each of the M network devices Mode information to obtain M work mode information, and each work mode information in the M work mode information includes the work mode of each smart device in the corresponding at least one smart device;

A determining unit, configured to determine at least two target network devices among the M network devices according to the M network state parameters and the M working mode information;

The network access unit is configured to perform link aggregation operations according to at least two target wireless networks corresponding to the at least two target network devices.

In a third aspect, embodiments of the present application provide an electronic device, including a processor, a memory, a communication interface, and one or more programs, wherein the one or more programs are stored in the memory and configured to be processed by the above The above-mentioned program includes instructions for executing the steps in the first aspect of the embodiments of the present application.

According to a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program for electronic data exchange, wherein the computer program causes the computer to execute the first embodiment of the present application. Part or all of the steps described in one aspect.

In a fifth aspect, the embodiments of the present application provide a computer program product, wherein the computer program product includes a non-transitory computer-readable storage medium storing a computer program, and the computer program is operable to cause a computer to execute Example part or all of the steps described in the first aspect. The computer program product may be a software installation package.

It can be seen that the link aggregation implementation method and related products described in the embodiments of the present application are applied to electronic devices. Through network search, M wireless networks are obtained, and each of the M network devices corresponding to the M wireless networks is obtained. A network state parameter of a network device, M network state parameters are obtained, the working mode information of at least one smart device corresponding to each of the M network devices is obtained, M working mode information is obtained, and according to the M network state parameters and The M working mode information determines at least two target network devices among the M network devices, and performs link aggregation operations based on the at least two target wireless networks corresponding to the at least two target network devices. In this way, the network status parameters of the network devices can be And the working mode of the connected smart device determines the wireless network with good network quality, which realizes that at least two wireless networks with good network quality are selected from multiple wireless networks to realize link aggregation, and the data transmission efficiency is improved.

BRIEF DESCRIPTION

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 required in the embodiments or the description of the prior art. Obviously, the drawings in the following description are only These are some embodiments of the present application. For those of ordinary skill in the art, without paying any creative labor, other drawings can also be obtained based on these drawings.

FIG. 1A is an exemplary system architecture diagram of a wireless communication system in which an electronic device is located according to an embodiment of the present application;

1B is a schematic flowchart of a method for implementing link aggregation according to an embodiment of the present application;

2 is a schematic flowchart of another method for implementing link aggregation according to an embodiment of the present application;

3 is a schematic structural diagram of an electronic device provided by an embodiment of the present application;

4 is a block diagram of the functional unit composition of a link aggregation implementation device provided by an embodiment of the present application;

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

detailed description

In order to enable those skilled in the art to better understand the solutions of the present application, the technical solutions in the embodiments of the present application will be described clearly and completely in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only It is a part of the embodiments of this application, but not all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by a person of ordinary skill in the art without creative work fall within the scope of protection of the present application.

The terms “first” and “second” in the description and claims of the present application and the above drawings are used to distinguish different objects, not to describe a specific order. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product, or device that includes a series of steps or units is not limited to the listed steps or units, but optionally includes steps or units that are not listed, or optionally also includes Other steps or units inherent to these processes, methods, products or equipment.

Reference herein to "embodiments" means that specific features, structures, or characteristics described in connection with the embodiments may be included in at least one embodiment of the present application. The appearance of the phrase in various places in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment mutually exclusive with other embodiments. Those skilled in the art understand explicitly and implicitly that the embodiments described herein can be combined with other embodiments.

The electronic device involved in the embodiments of the application may be an electronic device capable of implementing link aggregation. The electronic device may include various handheld devices with wireless communication functions, vehicle-mounted devices, wearable devices, computing devices or connected to wireless Other processing equipment of the modem, as well as various forms of user equipment (User Equipment, UE), mobile station (Mobile Station, MS), terminal equipment (terminal device), and so on. The mobile network device can be at least one of the following: base stations, servers, handheld devices with wireless communication functions, vehicle-mounted devices, wearable devices, computing devices or other processing devices connected to wireless modems, as well as various forms of user equipment, mobile Station, terminal equipment, etc.

The following describes the embodiments of the application in detail.

Please refer to FIG. 1A. FIG. 1A is an exemplary system architecture diagram of a wireless communication system in which an electronic device is located according to an embodiment of the present application. As shown in FIG. 1A, the electronic device 101 described in the present application can be connected to a mobile data network 103, Data network is a communication network used to transmit data services; Wi-Fi 102, Wi-Fi is a technology that allows electronic devices to connect to a wireless local area network; 2.4G UHF or 5G SHF ISM radio frequency bands are usually used; and Bluetooth 104, A wireless technology standard that enables short-distance data exchange between fixed devices, mobile devices, and building personal area networks.

In the embodiments of the present application, wireless fidelity (Wireless-Fidelity, Wi-Fi), which may also be referred to as Wi-Fi, is a wireless connection method. The electronic device may include a Wi-Fi module (also referred to as a Wi-Fi communication module), so that the electronic device has a Wi-Fi function. Electronic devices can search for Wi-Fi hotspots and connect to wireless networks through Wi-Fi hotspots. The Wi-Fi data link is a data connection path established between the electronic device and the wireless network through the Wi-Fi communication module interface connection. When an electronic device accesses the Internet through a Wi-Fi hotspot, it does not need to access the Internet through a carrier network such as mobile, China Unicom, or telecommunications, which can save data charges.

Please refer to FIG. 1B. FIG. 1B is a schematic flowchart of a method for implementing link aggregation according to an embodiment of the present application, which is applied to electronic equipment; as shown in the figure, the method for implementing link aggregation includes:

101. Perform a network search to obtain M wireless networks, the M wireless networks correspond to M network devices, the M wireless networks correspond to the M network devices in a one-to-one correspondence, and each of the M network devices The network device is connected to at least one smart device, and M is an integer greater than 1.

Among them, the embodiments of the present application can be applied to smart home scenarios. The smart home environment includes multiple smart home devices (hereinafter referred to as "smart devices"). Each smart device can be connected to a network device, and the network device can provide Wired network or wireless network equipment, for example, a smart TV has a dedicated network device, and the smart TV can be connected to the dedicated network device to realize the network communication function of the smart TV. The smart device can be at least one of the following: Smart TV, smart washing machine, smart air conditioner, smart water heater, smart door, tablet computer, smart phone, smart massage chair, smart dryer, smart rice cooker, smart soy milk maker, smart water dispenser, smart sweeper, smart robot housekeeper, etc. , It is not limited here. In specific implementation, the electronic device can start the Wi-Fi module to perform a network search, and then can search for M wireless networks, each wireless network corresponds to a network device, and each network device may be connected to one or more smart devices.

102. Obtain network state parameters of each of the M network devices to obtain M network state parameters.

Among them, the network state parameter may be at least one of the following: signal strength value, data transmission rate, round-trip delay, target bit error rate, etc., which are not limited here. When the electronic device performs a wireless network search, it obtains M wireless networks, and each wireless network can correspond to a network device and a network state parameter of the network device.

103. Obtain working mode information of at least one smart device corresponding to each of the M network devices, to obtain M working mode information, and each working mode information in the M working mode information includes at least one corresponding one The working mode of each smart device in the smart device.

Among the M work mode information, each work mode information includes the corresponding work mode of at least one smart device. For example, among M network devices, if the first network device is connected to 3 smart devices, the first network The working mode information corresponding to the device may include 3 working modes corresponding to 3 smart devices. If the second network device is connected to 5 smart devices, the working mode information corresponding to the second network device may include 5 smart devices. 5 working modes, among which, the working mode can include any of the following: working mode, standby mode, shutdown mode, and the working mode can further include at least one of the following: online play, download, call, receive instructions, recording, video, etc. In the embodiments of the present application, the smart devices connected to the network devices are in different working modes, and the required network resource requirements are also different. For example, the smart TV needs to be in the working mode of online playback and in the standby mode. The demand for network resources is different from that of the smart TV in the mode of displaying the program menu page. The demand for network resources is also different. For another example, when the smart air conditioner is in the working mode of receiving instructions, and in the standby mode, the required amount of network resources will be different.

104. Determine at least two target network devices among the M network devices according to the M network state parameters and the M working mode information, and determine according to the at least two target wireless devices corresponding to the at least two target network devices. The network performs link aggregation operations.

In the embodiment of the present application, link aggregation means that the device can simultaneously use two or more network ports to surf the Internet at the same time. For example, through link aggregation on a mobile phone, Wi-Fi and data network (data network) can be used at the same time. , May also be referred to as a mobile data network) for network access, or use two or more Wi-Fi networks at the same time to achieve network access. The Smart Link Aggregation (SLA) function refers to intelligently distributing users' Internet access requests to different Internet-accessible interfaces (cellular communication module interface, Wi-Fi communication module interface). Link aggregation requires at least two or more available networks, so the prerequisite for SLA is to make Wi-Fi and data networks coexist. Therefore, at least two target wireless networks with better network resources can be selected for link aggregation operations to meet the user's Internet needs. Specifically, at least two target network devices with better network resources among the M network devices may be determined according to the M network state parameters and the M working mode information.

Optionally, in the foregoing step 104, determining at least two target network devices among the M network devices according to the M network state parameters and the M working mode information may include the following steps:

41. Sort the M network devices according to the M work mode information to obtain sorted M network devices;

42. Select the top N target network devices in the sorted M network devices, where N is an integer greater than 2 and less than M;

43. Evaluate the wireless networks of the N target network devices according to the N target network state parameters corresponding to the N target network devices to obtain N evaluation values;

44. Determine at least two target evaluation values higher than a preset evaluation value among the N evaluation values, and acquire at least two target network devices corresponding to the at least two target evaluation values.

In the embodiment of the present application, the M network devices may be sorted according to the M work mode information first to obtain the sorted M network devices, where the quality of the network resources of the sorted M network devices ranges from high to Therefore, N target network devices with better network resources can be initially selected, and then the wireless networks of N target network devices can be evaluated according to the N target network state parameters corresponding to the N target network devices, and N In this way, at least two target network devices with higher evaluation values are further screened, and further, link aggregation processing can be performed according to at least two target wireless networks of the at least two target network devices, so that good network quality can be achieved The link aggregation network is conducive to improving the efficiency of data transmission and better meeting the Internet needs of electronic devices.

Optionally, in step 41, sorting the M network devices according to the M working mode information to obtain the sorted M network devices may include the following steps:

A1. Determine the number of preset work modes included in each work mode information in the M work mode information to obtain M numbers;

A2. Sort the M network devices according to the order of the M numbers from small to large to obtain the M network devices after sorting.

Among them, the foregoing preset working mode may include at least one of the following: online playing, downloading, calling, receiving instructions, etc. In specific implementation, different preset working modes can be set according to different smart devices, for example, smart TV corresponding to The preset work mode can be the work mode that is played online. The preset work mode corresponding to smart devices such as smart massage chairs, smart dryers, smart rice cookers, smart soymilk machines, smart water dispensers, etc. can be the work mode that receives instructions, smart The preset working mode corresponding to instruction equipment such as washing machine, smart air conditioner, smart water heater, smart door can be call working mode, and the preset working mode corresponding to smart sweeper and smart robot housekeeper can be downloaded working mode or receiving instructions. Mode, this application is not limited.

Wherein, the number of preset working modes included in each working mode information in the M working mode information is determined. In specific implementation, the number of preset working modes included in each working mode information in the M working mode information can be counted. For example, the working mode information corresponding to the first network device includes 3 working modes corresponding to 3 smart devices, and among the 3 working modes, the number of preset working modes is 1, then the preset working mode corresponding to the first network device For example, the working mode information corresponding to the second network device may include 5 working modes corresponding to 5 smart devices. Among the 5 working modes, the preset number of working modes is 3, and the second network The number of preset working modes corresponding to the device is 3, and further, the M numbers corresponding to the M working mode information can be determined, where the larger the number of the M numbers, the better the quality of the network resources of the corresponding target network device . Further, the M network devices are sorted according to the order of the M numbers from small to large, to obtain the sorted M network devices, and the quality of the network resources of the M network devices is ranked from high to low.

B1. Determine at least one first network resource demand corresponding to at least one working mode included in each of the M working mode information according to the correspondence between the preset working mode and the network resource demand;

B2. Determine the corresponding second network resource demand according to at least one first network resource demand corresponding to each work mode information in the M work mode information, to obtain M second network resource demand;

B3. Sort the M network devices according to the order of the M second network resource requirements from low to high, to obtain the M network devices after sorting.

Among them, the electronic device can pre-store the correspondence between the preset working mode and the network resource demand, and then determine the network resource demand corresponding to the working mode of each smart device according to the correspondence, where, for different smart devices , Different working modes correspond to different network resource requirements. As shown in the following table, it shows the corresponding network resource requirements of a different smart device in different working modes:

Among them, for at least one working mode in each working mode information, the first network resource demand corresponding to each working mode in the at least one working mode can be determined to obtain at least one first network resource demand, and then according to the at least one first network resource demand A network resource demand determines the second network resource demand corresponding to the work mode information, and the second network resource demand corresponding to each work mode information can be the sum of the corresponding at least one first network resource demand, so that it can be determined The M second network resource requirements corresponding to the M work mode information, and finally, the M network devices are sorted in the order of the M second network resource requirements from low to high to obtain the sorted M network devices, The quality of the network resources of the M network devices is ranked from high to low.

Optionally, in the foregoing step 43, evaluating the wireless networks of the N target network devices according to the N target network state parameters corresponding to the N target network devices to obtain N evaluation values may include the following steps:

According to the preset correspondence between the network state parameters and the evaluation values, the evaluation value corresponding to each target network state parameter among the N target network state parameters corresponding to the N target network devices is determined, and N evaluation values are obtained.

Wherein, since the network state parameter can be at least one of the following: signal strength value, target data transmission rate, target round-trip delay, target bit error rate, etc., one of the above-mentioned at least one network state parameter and evaluation value can be preset For example, the first corresponding relationship between the signal strength value and the first evaluation value, the second corresponding relationship between the round-trip delay and the second evaluation value, and the data transmission rate and the third evaluation value can be preset. The third correspondence between the values and so on, and then the evaluation value corresponding to each target network state parameter is determined according to the above at least one correspondence.

Optionally, the network state parameters of the target wireless network include: target signal strength value, target data transmission rate, and target round-trip time delay. Determining the corresponding evaluation value for any target network state parameter may include the following steps:

C1. Determine the first evaluation value corresponding to the target signal strength value according to the first correspondence between the preset signal strength value and the first evaluation value;

C2, according to the second correspondence between the preset data transmission rate and the second evaluation value, determine the second evaluation value corresponding to the target data transmission rate;

C3. Determine the third evaluation value corresponding to the target round-trip time delay according to the third correspondence between the preset round-trip time delay and the third evaluation value;

C4. Obtain a first weight corresponding to the first evaluation value, a second weight corresponding to the second evaluation value, and a third weight corresponding to the third evaluation value. The first weight, the The sum of the second weight and the third weight is 1;

C5. Perform a weighted operation based on the first evaluation value, the second evaluation value, the third evaluation value, the first weight, the second weight, and the third weight to obtain the Any one of the target network state parameters determines the corresponding target evaluation value.

Wherein, the electronic device may pre-store the first weight corresponding to the first evaluation value, the second weight corresponding to the second evaluation value, and the third weight corresponding to the third evaluation value, the first weight and the second weight The sum of the third weight and the third weight is 1. Furthermore, the weighted calculation can be performed based on the first evaluation value, the second evaluation value, the third evaluation value, the first weight, the second weight, and the third weight to obtain the target wireless The evaluation value of network i, specifically, the evaluation value of target wireless network i can be obtained according to the following formula: evaluation value of target wireless network i = first evaluation value * first weight + second evaluation value * second weight + first Three evaluation value * third weight.

It can be seen that the link aggregation implementation method described in the embodiments of the present application is applied to electronic devices, through network search, M wireless networks are obtained, and each of the M network devices corresponding to the M wireless networks is obtained. M network state parameters are obtained, the working mode information of at least one smart device corresponding to each of the M network devices is obtained, and M working mode information is obtained, according to the M network state parameters and M work The mode information determines at least two target network devices among the M network devices, and performs link aggregation operations according to the at least two target wireless networks corresponding to the at least two target network devices. In this way, the network status parameters of the network devices and the connected The working mode of the smart device determines a wireless network with better network quality, and realizes that at least two wireless networks with good network quality are selected from multiple wireless networks to realize link aggregation, which improves the efficiency of data transmission.

Consistent with the above embodiment shown in FIG. 1B, please refer to FIG. 2, which is a schematic flowchart of a method for implementing link aggregation provided by an embodiment of the present application. As shown in the figure, the method for implementing link aggregation includes:

201. Perform a network search to obtain M wireless networks, the M wireless networks correspond to M network devices, the M wireless networks correspond to the M network devices in a one-to-one correspondence, and each of the M network devices The network device is connected to at least one smart device, and M is an integer greater than 1.

202. Obtain network state parameters of each of the M network devices to obtain M network state parameters.

203. Obtain working mode information of at least one smart device corresponding to each of the M network devices, and obtain M working mode information, and each working mode information in the M working mode information includes at least one corresponding one The working mode of each smart device in the smart device.

204. Sort the M network devices according to the M work mode information to obtain sorted M network devices.

205. Select the top N target network devices in the sorted M network devices, where N is an integer greater than 2 and less than M.

206. Evaluate the wireless networks of the N target network devices according to the N target network state parameters corresponding to the N target network devices to obtain N evaluation values.

207. Determine at least two target evaluation values that are higher than a preset evaluation value among the N evaluation values, and obtain at least two target network devices corresponding to the at least two target evaluation values.

208. Perform a link aggregation operation according to the at least two target wireless networks corresponding to the at least two target network devices.

For specific descriptions of the above steps 201-208, reference may be made to the corresponding steps of the link aggregation implementation method described in FIG. 1B, which will not be repeated here.

It can be seen that the link aggregation implementation method described in the embodiments of the present application is applied to electronic devices, through network search, M wireless networks are obtained, and each of the M network devices corresponding to the M wireless networks is obtained. M network state parameters are obtained, the working mode information of at least one smart device corresponding to each network device in the M network devices is obtained, M working mode information is obtained, and the M network Sort the devices, select the top N target network devices among the sorted M network devices, and evaluate the wireless networks of the N target network devices according to the N target network state parameters corresponding to the N target network devices, and get N evaluation values, determine at least two target evaluation values higher than the preset evaluation value among the N evaluation values, and obtain at least two target network devices corresponding to the at least two target evaluation values, according to the corresponding values of the at least two target network devices At least two target wireless networks perform link aggregation operations. In this way, at least two wireless networks with good network quality can be selected from multiple wireless networks to implement link aggregation, which improves data transmission efficiency.

Consistent with the above embodiments shown in FIGS. 1B and 2, please refer to FIG. 3, which is a schematic structural diagram of an electronic device 300 provided by an embodiment of the present application. As shown in the figure, the electronic device 300 includes processing 310, memory 320, communication interface 330, and one or more programs 321, wherein the one or more programs 321 are stored in the above-mentioned memory 320 and are configured to be executed by the above-mentioned processor 310, the one or more Each program 321 includes instructions for performing the following steps:

In a possible example, in the aspect of determining at least two target network devices among the M network devices according to the M network state parameters and the M working mode information, the one or more programs 321 includes instructions for performing the following steps:

Sort the M network devices according to the M work mode information to obtain the sorted M network devices;

Selecting the top N target network devices in the sorted M network devices, where N is an integer greater than 2 and less than M;

Evaluate the wireless networks of the N target network devices according to the N target network state parameters corresponding to the N target network devices to obtain N evaluation values;

Determine at least two target evaluation values higher than a preset evaluation value among the N evaluation values, and obtain at least two target network devices corresponding to the at least two target evaluation values.

In a possible example, in the aspect of sorting the M network devices according to the M working mode information to obtain the sorted M network devices, the one or more programs 321 include Instructions for the following steps:

Determine the number of preset work modes included in each work mode information in the M work mode information to obtain M numbers;

The M network devices are sorted according to the order of the M numbers from small to large to obtain the M network devices after sorting.

In a possible example, in terms of sorting the M network devices according to the M work mode information to obtain the sorted M network devices, the one or more programs 321 include steps for executing the following steps The instructions:

Determine at least one first network resource demand corresponding to at least one working mode included in each working mode information in each of the M working mode information according to the correspondence between the preset working mode and the network resource demand;

Determine the corresponding first network resource demand according to at least one first network resource demand corresponding to each work mode information in the M work mode information, and obtain M second network resource demands;

The M network devices are sorted according to the order of network resource demand from low to high, and the sorted M network devices are obtained.

In a possible example, in terms of evaluating the wireless networks of the N target network devices according to the N target network state parameters corresponding to the N target network devices to obtain N evaluation values, the one The or more programs 321 include instructions for performing the following steps:

The above mainly introduces the solution of the embodiment of the present application from the perspective of the execution process on the method side. It can be understood that, in order to realize the above functions, the electronic device includes a hardware structure and/or a software module corresponding to each function. Those skilled in the art should easily realize that, in combination with the units and algorithm steps of the examples described in the embodiments provided 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 driven hardware depends on the specific application of the technical solution and design constraints. Professional technicians can use different methods for each specific application to implement the described functions, but such implementation should not be considered to be beyond the scope of this application.

The embodiments of the present application may divide the functional unit of the electronic device according to the above method example, for example, each functional unit may be divided corresponding to each function, or two or more functions may be integrated into one processing unit. The above integrated unit can be implemented in the form of hardware or software function unit. It should be noted that the division of the units in the embodiments of the present application is schematic, and is only a division of logical functions. In actual implementation, there may be another division manner.

FIG. 4 is a block diagram of the functional unit composition of the device 400 for implementing link aggregation involved in an embodiment of the present application. The link aggregation realization apparatus 400 is applied to electronic equipment, and the link aggregation realization apparatus 400 includes a search unit 401, an acquisition unit 402, a determination unit 403, and a network access unit 404, wherein,

The search unit 401 is configured to perform a network search to obtain M wireless networks, the M wireless networks correspond to M network devices, the M wireless networks correspond to the M network devices one-to-one, and the M Each of the network devices is connected to at least one smart device, and M is an integer greater than 1;

The obtaining unit 402 is configured to obtain the network state parameters of each of the M network devices to obtain M network state parameters; and obtain at least one intelligence corresponding to each of the M network devices Working mode information of the device to obtain M working mode information, each working mode information in the M working mode information includes the working mode of each smart device in the corresponding at least one smart device;

The determining unit 403 is configured to determine at least two target network devices among the M network devices according to the M network state parameters and the M working mode information;

The network access unit 404 is configured to perform link aggregation operations according to at least two target wireless networks corresponding to the at least two target network devices.

Optionally, in terms of determining at least two target network devices among the M network devices according to the M network state parameters and the M working mode information, the determining unit 403 is specifically configured to:

Optionally, in the aspect of sorting the M network devices according to the M work mode information to obtain the sorted M network devices, the determining unit 403 is specifically configured to:

Optionally, in terms of sorting the M network devices according to the M work mode information to obtain the sorted M network devices, the determining unit 403 is specifically configured to:

Optionally, in terms of evaluating the wireless networks of the N target network devices according to the N target network state parameters corresponding to the N target network devices to obtain N evaluation values, the determining unit 403 specifically Used for:

It can be seen that the link aggregation implementation device described in the embodiment of the present application is applied to electronic equipment. By performing a network search, M wireless networks are obtained, and each of the M network devices corresponding to the M wireless networks is obtained. M network state parameters are obtained, the working mode information of at least one smart device corresponding to each of the M network devices is obtained, and M working mode information is obtained, according to the M network state parameters and M work The mode information determines at least two target network devices among the M network devices, and performs link aggregation operations according to the at least two target wireless networks corresponding to the at least two target network devices. In this way, the network status parameters of the network devices and the connected The working mode of the smart device determines a wireless network with better network quality, and realizes that at least two wireless networks with good network quality are selected from multiple wireless networks to realize link aggregation, which improves the efficiency of data transmission.

The embodiment of the present application also provides another electronic device. As shown in FIG. 5, for convenience of description, only parts related to the embodiment of the present application are shown. For specific technical details not disclosed, please refer to the method of the embodiment of the present application section. The electronic device can be any terminal device including a mobile phone, a tablet computer, a PDA (Personal Digital Assistant), a POS (Point of Sales, sales terminal), a vehicle-mounted computer, etc., taking the electronic device as a mobile phone as an example:

5 is a block diagram of a partial structure of a mobile phone related to an electronic device provided by an embodiment of the present application. Referring to FIG. 5, the mobile phone includes: a radio frequency (RF) circuit 910, a memory 920, an input unit 930, a display unit 940, a sensor 950, an audio circuit 960, a wireless fidelity (Wi-Fi) module 970, a processing 980, and power supply 990. Those skilled in the art may understand that the structure of the mobile phone shown in FIG. 5 does not constitute a limitation on the mobile phone, and may include more or less components than those illustrated, or combine certain components, or have different component arrangements.

The following describes each component of the mobile phone in detail with reference to FIG. 5:

The RF circuit 910 can be used for information reception and transmission. Generally, the RF circuit 910 includes, but is not limited to, an antenna, at least one amplifier, a transceiver, a coupler, a low noise amplifier (LNA), a duplexer, and the like. In addition, the RF circuit 910 can also communicate with other devices through a wireless communication network. The above-mentioned wireless communication can use any communication standard or protocol, including but not limited to Global System of Mobile Communication (GSM), General Packet Radio Service (GPRS), Code Division Multiple Access (Code Division) Multiple Access (CDMA), Wideband Code Division Multiple Access (WCDMA), Long Term Evolution (LTE), Email, Short Messaging Service (SMS), etc.

The memory 920 may be used to store software programs and modules, and the processor 980 executes various functional applications and data processing of the mobile phone by running the software programs and modules stored in the memory 920. The memory 920 may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, application programs required for at least one function, and the like; the storage data area may store data created according to the use of a mobile phone, etc. In addition, the memory 920 may include a high-speed random access memory, and may also include a non-volatile memory, such as at least one magnetic disk storage device, a flash memory device, or other volatile solid-state storage devices.

The input unit 930 may be used to receive input digital or character information, and generate key signal input related to user settings and function control of the mobile phone. Specifically, the input unit 930 may include a fingerprint recognition module 931 and other input devices 932. The fingerprint identification module 931 can collect user fingerprint data on it. In addition to the fingerprint recognition module 931, the input unit 930 may also include other input devices 932. Specifically, other input devices 932 may include, but are not limited to, one or more of a touch screen, a physical keyboard, function keys (such as volume control keys, switch keys, etc.), trackball, mouse, joystick, and so on.

The display unit 940 may be used to display information input by the user or information provided to the user and various menus of the mobile phone. The display unit 940 may include a display screen 941. Alternatively, the display screen 941 may be configured in the form of a liquid crystal display (Liquid Crystal) (LCD), an organic or inorganic light-emitting diode (Organic Light-Emitting Diode, OLED), or the like.

The mobile phone may also include at least one sensor 950, such as a light sensor, a motion sensor, a pressure sensor, a temperature sensor, and other sensors. Specifically, the light sensor may include an ambient light sensor (also called a light sensor) and a proximity sensor, wherein the ambient light sensor may adjust the backlight brightness of the mobile phone according to the brightness of the ambient light, thereby adjusting the brightness of the display screen 941, and the proximity sensor may When the mobile phone moves to the ear, the display 941 and/or backlight is turned off. As a type of motion sensor, the accelerometer sensor can detect the magnitude of acceleration in various directions (generally three axes), and can detect the magnitude and direction of gravity when at rest, and can be used for applications that recognize mobile phone gestures (such as horizontal and vertical screen switching, magnetic force) (Attitude calibration), vibration recognition related functions (such as pedometer, tap), etc. As for other sensors such as gyro, barometer, hygrometer, thermometer, infrared sensor, etc. that can also be configured on mobile phones, they will not be repeated here.

The audio circuit 960, the speaker 961, and the microphone 962 can provide an audio interface between the user and the mobile phone. The audio circuit 960 can transmit the electric signal converted from the received audio data to the speaker 961, which is converted into a sound signal for playback by the speaker 961; After being received, it is converted into audio data, and then processed by the audio data playback processor 980, and sent to, for example, another mobile phone via the RF circuit 910, or the audio data is played to the memory 920 for further processing.

Wi-Fi is a short-distance wireless transmission technology. The mobile phone can help users send and receive emails, browse web pages, and access streaming media through the Wi-Fi module 970. It provides users with wireless broadband Internet access. Although FIG. 5 shows the Wi-Fi module 970, it can be understood that it is not a necessary component of a mobile phone, and can be omitted as needed without changing the scope of the essence of the invention.

The processor 980 is the control center of the mobile phone, connects various parts of the entire mobile phone with various interfaces and lines, executes or executes the software programs and/or modules stored in the memory 920, and calls the data stored in the memory 920 to execute Various functions and processing data of the mobile phone, so as to monitor the mobile phone as a whole. Optionally, the processor 980 may include one or more processing units; preferably, the processor 980 may integrate an application processor and a modem processor, where the application processor mainly processes an operating system, a user interface, and application programs, etc. The modem processor mainly handles wireless communication. It can be understood that the foregoing modem processor may not be integrated into the processor 980.

The mobile phone also includes a power supply 990 (such as a battery) that supplies power to various components. Preferably, the power supply can be logically connected to the processor 980 through the power management system, so as to realize functions such as charging, discharging, and power management through the power management system.

The mobile phone may further include a camera 9100, which is used to capture images and videos, and transmit the captured images and videos to the processor 980 for processing.

The mobile phone can also have a Bluetooth module, etc., which will not be repeated here.

In the foregoing embodiments shown in FIG. 1B and FIG. 2, the method flow of each step may be implemented based on the structure of the mobile phone.

An embodiment of the present application further provides a computer storage medium, wherein the computer storage medium stores a computer program for electronic data exchange, and the computer program causes the computer to perform part or all of the steps of any method described in the foregoing method embodiments , The aforementioned computer includes electronic devices.

An embodiment of the present application further provides a computer program product, the computer program product includes a non-transitory computer-readable storage medium storing the computer program, the computer program is operable to cause the computer to perform any of the methods described in the above embodiments Some or all steps of the method. The computer program product may be a software installation package, and the computer includes an electronic device.

It should be noted that, for the sake of simple description, the foregoing method embodiments are all expressed as a series of action combinations, but those skilled in the art should know that the present application is not limited by the sequence of actions described. Because according to the present application, certain steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also be aware that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily required by this application.

In the above embodiments, the description of each embodiment has its own emphasis. For a part that is not detailed in an embodiment, you can refer to the related descriptions of other embodiments.

In the several embodiments provided in this application, it should be understood that the disclosed device may be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the above-mentioned units is only a division of logical functions. In actual implementation, there may be other division methods, for example, multiple units or components may be combined or integrated To another system, or some features can be ignored, or not implemented. In addition, the displayed or discussed mutual coupling or direct coupling or communication connection may be indirect coupling or communication connection through some interfaces, devices or units, and may be in electrical or other forms.

The units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or may be distributed on multiple network units. Some or all of the units may 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 may be integrated into one processing unit, or each unit may exist alone physically, or two or more units may be integrated into one unit. The above integrated unit can be implemented in the form of hardware or software function unit.

If the above integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer readable memory. Based on such an understanding, the technical solution of the present application may essentially be a part that contributes to the existing technology or all or part of the technical solution may be embodied in the form of a software product, and the computer software product is stored in a memory, Several instructions are included to enable a computer device (which may be a personal computer, server, network device, etc.) to perform all or part of the steps of the above methods in various embodiments of the present application. The aforementioned memory includes: U disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), mobile hard disk, magnetic disk or optical disk and other media that can store program codes.

A person of ordinary skill in the art may understand that all or part of the steps in the various methods of the above embodiments may be completed by instructing relevant hardware through a program. The program may be stored in a computer-readable memory, and the memory may include: a flash disk , Read-Only Memory (English: Read-Only Memory, abbreviation: ROM), Random Access Device (English: Random Access Memory, abbreviation: RAM), magnetic disk or optical disk, etc.

The embodiments of the present application are described in detail above, and specific examples are used to explain the principle and implementation of the present application. The descriptions of the above embodiments are only used to help understand the method and core idea of the present application; at the same time, Those of ordinary skill in the art, based on the ideas of the present application, may have changes in specific implementations and application scopes. In summary, the content of this specification should not be construed as limiting the present application.

Claims

A method for implementing link aggregation is characterized in that it is applied to electronic equipment, and the method includes:

Perform a network search to obtain M wireless networks, the M wireless networks correspond to M network devices, the M wireless networks correspond to the M network devices in a one-to-one correspondence, and each network device of the M network devices Connect at least one smart device, M is an integer greater than 1;

Acquiring network state parameters of each of the M network devices to obtain M network state parameters;

Obtain working mode information of at least one smart device corresponding to each of the M network devices to obtain M working mode information, and each working mode information in the M working mode information includes at least one corresponding smart device The working mode of each smart device in the

Determine at least two target network devices among the M network devices according to the M network state parameters and the M work mode information, and perform the process according to the at least two target wireless networks corresponding to the at least two target network devices Link aggregation operation.
The method according to claim 1, wherein the determining at least two target network devices of the M network devices according to the M network state parameters and the M working mode information comprises:

Sort the M network devices according to the M work mode information to obtain the sorted M network devices;

Selecting the top N target network devices in the sorted M network devices, where N is an integer greater than 2 and less than M;

Evaluate the wireless networks of the N target network devices according to the N target network state parameters corresponding to the N target network devices to obtain N evaluation values;

Determine at least two target evaluation values higher than a preset evaluation value among the N evaluation values, and obtain at least two target network devices corresponding to the at least two target evaluation values.
The method according to claim 2, wherein the sorting the M network devices according to the M working mode information to obtain the sorted M network devices comprises:

Determine the number of preset work modes included in each work mode information in the M work mode information to obtain M numbers;

The M network devices are sorted according to the order of the M numbers from small to large to obtain the M network devices after sorting.
The method according to claim 2, wherein the sorting the M network devices according to the M working mode information to obtain the sorted M network devices comprises:

Determine at least one first network resource demand corresponding to at least one working mode included in each working mode information in each of the M working mode information according to the correspondence between the preset working mode and the network resource demand;

Determine the corresponding first network resource demand according to at least one first network resource demand corresponding to each work mode information in the M work mode information, and obtain M second network resource demands;

The M network devices are sorted according to the order of network resource demand from low to high, and the sorted M network devices are obtained.
The method according to claim 4, wherein each of the work mode information includes at least one work mode, and the at least one first network resource corresponding to each work mode information in the M work mode information The demand determines the corresponding first network resource demand, and obtains the M second network resource demand, including:

Determine the first network resource requirement corresponding to each working mode in at least one working mode included in each working mode information in the M working mode information, and obtain the corresponding value for each working mode information in the M working mode information At least one first network resource demand;

The sum of at least one first network resource demand corresponding to each of the M work mode information is performed to obtain M sum results, and each of the M sum results is taken as The second network resource demand corresponding to each work mode information in the M work mode information obtains the M second network resource demand.
The method according to any one of claims 2-4, wherein the evaluating the wireless networks of the N target network devices according to the N target network state parameters corresponding to the N target network devices, Obtain N evaluation values, including:

According to the preset correspondence between the network state parameters and the evaluation values, the evaluation value corresponding to each target network state parameter among the N target network state parameters corresponding to the N target network devices is determined, and N evaluation values are obtained.
The method according to claim 6, wherein the network state parameters of the target wireless network include: a target signal strength value, a target data transmission rate, and a target round-trip delay, and the determination of any one of the target network state parameters The corresponding evaluation values include:

Determine the first evaluation value corresponding to the target signal strength value according to the preset first correspondence between the signal strength value and the first evaluation value;

Determine the second evaluation value corresponding to the target data transmission rate according to the second correspondence between the preset data transmission rate and the second evaluation value;

Determine the third evaluation value corresponding to the target round-trip time delay according to the preset third correspondence between the round-trip time delay and the third evaluation value;

Acquire a first weight corresponding to the first evaluation value, a second weight corresponding to the second evaluation value, and a third weight corresponding to the third evaluation value, the first weight and the first weight The sum of the second weight and the third weight is 1;

Perform a weighting operation according to the first evaluation value, the second evaluation value, the third evaluation value, the first weight value, the second weight value, and the third weight value to obtain the any A target network state parameter determines the corresponding evaluation value.
The method according to any one of claims 2-7, wherein the working mode comprises any one of the following: a working mode, a standby mode or a shutdown mode; the working mode comprises at least one of the following: online playing, Download, call, receive instructions, record and video.
The method according to claim 1, wherein the network state parameter includes at least one of the following: signal strength value, data transmission rate, round trip delay, and target bit error rate.
A device for implementing link aggregation is characterized in that it is applied to electronic equipment, and the device for implementing link aggregation includes:

The search unit is configured to perform a network search to obtain M wireless networks, the M wireless networks correspond to M network devices, the M wireless networks correspond to the M network devices in a one-to-one correspondence, and the M network devices Each network device is connected to at least one smart device, and M is an integer greater than 1.

The obtaining unit is configured to obtain the network state parameters of each of the M network devices to obtain M network state parameters; and obtain the work of at least one smart device corresponding to each of the M network devices Mode information to obtain M work mode information, and each work mode information in the M work mode information includes the work mode of each smart device in the corresponding at least one smart device;

A determining unit, configured to determine at least two target network devices among the M network devices according to the M network state parameters and the M working mode information;

The network access unit is configured to perform link aggregation operations according to at least two target wireless networks corresponding to the at least two target network devices.
The apparatus according to claim 10, wherein in the aspect of determining at least two target network devices among the M network devices according to the M network state parameters and the M working mode information, the The determining unit is specifically used for:

Sort the M network devices according to the M work mode information to obtain the sorted M network devices;

Selecting the top N target network devices in the sorted M network devices, where N is an integer greater than 2 and less than M;

Evaluate the wireless networks of the N target network devices according to the N target network state parameters corresponding to the N target network devices to obtain N evaluation values;

Determine at least two target evaluation values higher than a preset evaluation value among the N evaluation values, and obtain at least two target network devices corresponding to the at least two target evaluation values.
The apparatus according to claim 11, wherein in the aspect of sorting the M network devices according to the M work mode information to obtain the sorted M network devices, the determining unit specifically uses in:

Determine the number of preset work modes included in each work mode information in the M work mode information to obtain M numbers;

The M network devices are sorted according to the order of the M numbers from small to large to obtain the M network devices after sorting.
The apparatus according to claim 11, wherein in the aspect of sorting the M network devices according to the M work mode information to obtain the sorted M network devices, the determining unit specifically uses in:

Determine at least one first network resource demand corresponding to at least one working mode included in each working mode information in each of the M working mode information according to the correspondence between the preset working mode and the network resource demand;

Determine the corresponding first network resource demand according to at least one first network resource demand corresponding to each work mode information in the M work mode information, and obtain M second network resource demands;

The M network devices are sorted according to the order of network resource demand from low to high, and the sorted M network devices are obtained.
The apparatus according to claim 13, wherein each of the work mode information includes at least one work mode, and at least one first network corresponding to each work mode information in the M work mode information The resource demand determines the corresponding first network resource demand, and in terms of obtaining M second network resource demand, the determining unit is specifically configured to:

Determine the first network resource requirement corresponding to each working mode in at least one working mode included in each working mode information in the M working mode information, and obtain the corresponding value for each working mode information in the M working mode information At least one first network resource demand;

The sum of at least one first network resource demand corresponding to each of the M work mode information is performed to obtain M sum results, and each of the M sum results is taken as The second network resource demand corresponding to each work mode information in the M work mode information obtains the M second network resource demand.
The apparatus according to any one of claims 11-14, wherein the wireless network of the N target network devices is evaluated according to the N target network state parameters corresponding to the N target network devices , In terms of obtaining N evaluation values, the determining unit is specifically configured to:

According to the preset correspondence between the network state parameters and the evaluation values, the evaluation value corresponding to each target network state parameter among the N target network state parameters corresponding to the N target network devices is determined, and N evaluation values are obtained.
The device according to claim 1, wherein the network state parameters of the target wireless network include: a target signal strength value, a target data transmission rate, and a target round-trip delay, and when determining any of the target network status Regarding the evaluation value corresponding to the parameter, the determining unit is specifically configured to:

Determine the first evaluation value corresponding to the target signal strength value according to the preset first correspondence between the signal strength value and the first evaluation value;

Determine the second evaluation value corresponding to the target data transmission rate according to the second correspondence between the preset data transmission rate and the second evaluation value;

Determine the third evaluation value corresponding to the target round-trip time delay according to the preset third correspondence between the round-trip time delay and the third evaluation value;

Acquire a first weight corresponding to the first evaluation value, a second weight corresponding to the second evaluation value, and a third weight corresponding to the third evaluation value, the first weight and the first weight The sum of the second weight and the third weight is 1;

Perform a weighting operation according to the first evaluation value, the second evaluation value, the third evaluation value, the first weight value, the second weight value, and the third weight value to obtain the any A target network state parameter determines the corresponding evaluation value.
The device according to claim 1, wherein the working mode comprises any one of the following: working mode, standby mode or shutdown mode; the working mode comprises at least one of the following: online playing, downloading, calling, receiving instructions , Audio and video recording.
An electronic device, characterized in that it includes a processor, a memory, a communication interface, and one or more programs, the one or more programs are stored in the memory, and are configured to be executed by the processor, The program includes instructions for performing the steps in the method of any one of claims 1-9.
A computer-readable storage medium, characterized by storing a computer program for electronic data exchange, wherein the computer program causes a computer to execute the method according to any one of claims 1-9.
A computer program product, characterized in that the computer program product includes a non-transitory computer-readable storage medium storing a computer program, the computer program being operable to cause a computer to execute the computer program according to any one of claims 1-9 The method described.