Method, device and equipment for determining wireless network optimization scheme and storage medium

Abstract

The present disclosure provides a method and device for determining a wireless network optimization scheme, relating to the technical field of communication, which comprises: collecting log information according to the interaction information of a user terminal and a base station; obtaining a data report and an event report by analyzing the log information, and transmitting the data report and the event report to a network optimization platform; obtaining platform data based on the network optimization platform; determining multi-dimensional data according to the data report, the event report and the platform data; inputting the multi-dimensional data into a wireless network optimization scheme model to obtain a target wireless network optimization scheme. Thus, the target wireless network optimization scheme can be selected in combination with the platform data, the accuracy and efficiency of the wireless network optimization scheme are improved, the work order closed-loop cycle is greatly shortened, and the problem root cause positioning accuracy is improved.

Description

TECHNICAL FIELD

[0001] The present disclosure relates to the field of communication technology, and particularly relates to a method and device for determining a wireless network optimization scheme, an apparatus and a storage medium. BACKGROUND

[0002] The quality of a wireless network can directly affect the user's experience. As the number of mobile users increases, the number of complaint work orders also increases. In the traditional processing of wireless network problem complaint work orders, a manual optimization method is usually used. The closed loop cycle of the wireless network problem complaint work order is long, so solving the wireless network problem is an important part of ensuring the quality of the wireless network.

[0003] In the related art, when solving the wireless network problem, the root cause positioning depends on the experience of experts. Due to the difference in experience of different people, the accuracy of problem root cause positioning fluctuates. Manual operation is used, the closed loop cycle of the wireless network problem work order is long, and the efficiency of problem root cause positioning is low. SUMMARY

[0004] The present disclosure aims to at least solve one of the technical problems in the related art to some extent.

[0005] A method for determining a wireless network optimization scheme is provided in the first aspect of the present disclosure, comprising:

[0006] According to the interaction information of the user terminal and the base station, log information is collected;

[0007] According to the log information, a data report and an event report are parsed and transmitted to a network optimization platform;

[0008] Platform data is obtained based on the network optimization platform;

[0009] Multi-dimensional data is determined according to the data report, the event report and the platform data;

[0010] The multi-dimensional data is input into a wireless network optimization scheme model to obtain a target wireless network optimization scheme.

[0011] A device for determining a wireless network optimization scheme is provided in the second aspect of the present disclosure, comprising:

[0012] A power module, a storage module, a transmission module, a collection module and an operation module, wherein,

[0013] The power module is used for storing electric energy, and the collection module is used for collecting the interaction information of the user terminal and the base station;

[0014] The operation module is used for parsing the log information to generate a data report and an event report;

[0015] The storage module is configured to store and manage target data, wherein the target data comprises log information integrated with interaction information and a wireless network optimization scheme.

[0016] The transmission module has functions of virtual private network connection, wireless network connection and Bluetooth connection.

[0017] The third aspect of the present disclosure provides an electronic device, comprising a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the method for determining a wireless network optimization scheme according to the first aspect of the present disclosure.

[0018] The fourth aspect of the present disclosure provides a computer readable storage medium having a computer program stored thereon, wherein the computer program is executable by a processor to implement the method for determining a wireless network optimization scheme according to the first aspect of the present disclosure.

[0019] The fifth aspect of the present disclosure provides a computer program product, wherein the instructions in the computer program product are executable by a processor to implement the method for determining a wireless network optimization scheme according to the first aspect of the present disclosure.

[0020] In the embodiments of the present disclosure, first, log information is collected according to the interaction information of the user terminal and the base station, then data reports and event reports are obtained by analyzing the log information, and the data reports and the event reports are transmitted to a network optimization platform, then platform data is obtained based on the network optimization platform, then multi-dimensional data is determined according to the data reports, the event reports and the platform data, and finally the multi-dimensional data is input into a wireless network optimization scheme model to obtain a target wireless network optimization scheme. Thus, the target wireless network optimization scheme can be selected in combination with the platform data, the accuracy and efficiency of the wireless network optimization scheme are improved, the problem root cause positioning accuracy is greatly improved, and the work order closed loop cycle is greatly shortened.

[0021] Additional aspects and advantages of the present disclosure will be in part apparent and in part pointed out hereinafter. BRIEF DESCRIPTION OF DRAWINGS

[0022] The above and / or additional aspects and advantages of the present disclosure will become apparent and be readily appreciated from the following description, taken in conjunction with the accompanying drawings, in which:

[0023] Figure 1 A flowchart of a method for determining a wireless network optimization scheme according to an embodiment of the present disclosure;

[0024] Figure 2 A structural diagram of a device for determining a wireless network optimization scheme according to an embodiment of the present disclosure;

[0025] Figure 3 FIG. 1 is a schematic diagram of an appearance structure of a determination device for a wireless network optimization scheme according to an embodiment of the present disclosure;

[0026] Figure 4 FIG. 1 is a schematic diagram of an appearance structure of a determination device for a wireless network optimization scheme according to an embodiment of the present disclosure; DETAILED DESCRIPTION

[0027] Embodiments of the present disclosure are described in detail below with reference to the accompanying drawings, examples of which are shown in the drawings, wherein the same or similar notations represent the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to explain the present disclosure, and cannot be understood as a limitation of the present disclosure.

[0028] It should be noted that the conventional solutions to the wireless network problem include the following two methods. Method 1 is to perform wireless environment road testing around the wireless network problem, connect a computer through a test terminal, open a test software to configure a test service, collect log information LOG such as signaling, events, main service cell information, and rate, and then analyze and determine the root cause of the wireless network problem according to historical experience, and propose an optimization scheme by replaying the log information and combining the station parameters and performance indicators monitored by the background personnel.

[0029] Method 2 is to install a data collection APP on a test terminal, select a road test module of the data collection APP, select a test option and configure a corresponding test service. Wireless environment road testing is performed around the wireless network problem and LOG is recorded. The LOG is saved at the end of the road testing, and the LOG is saved to the background at the same time. The background personnel analyze and determine the root cause of the wireless network problem in combination with the station parameters and performance indicators, and propose an optimization scheme.

[0030] The above methods at least have the following disadvantages:

[0031] 1. For user terminals that have not been rooted, it is not possible to connect to the test software, or due to the occupation of the user terminal memory by the signaling collection APP and the involvement of sensitivity, users subjectively reject the installation of the network optimization APP on their terminals, resulting in the inability to collect the wireless network signaling of the user terminal, and inaccurate positioning of the root cause of the wireless network problem.

[0032] 2. The root cause of the wireless network problem is dependent on expert experience, and the accuracy of the problem root cause positioning fluctuates due to differences in experience among different people.

[0033] 3. Manual operation is used, the wireless network problem work order closed loop cycle is long, and the problem root cause positioning efficiency is low.

[0034] The embodiment of the present disclosure proposes a wireless network optimization scheme determination method, device, equipment and storage medium, which is used to solve at least one of the above problems.

[0035] In the embodiment of the present disclosure, the wireless network optimization scheme determination method can be executed by a wireless network optimization scheme determination device, which is not limited herein.

[0036] To solve the above problems, the present disclosure proposes a wireless network optimization scheme determination method and device.

[0037] The wireless network optimization scheme determination method and device of the embodiment of the present disclosure are described below with reference to the accompanying drawings.

[0038] Figure 1 The flowchart of the wireless network optimization scheme determination method provided by the embodiment of the present disclosure is shown in the figure.

[0039] As shown in the figure, the wireless network optimization scheme determination method can include the following steps: Figure 1

[0040] Step 101, according to the interaction information between the user terminal and the base station, the log information is collected.

[0041] Among them, the information exchanged between the user terminal (such as mobile phone, computer and other mobile devices) and the base station can include the following contents:

[0042] Signal strength information: the user terminal will periodically send a request to the base station to obtain the signal strength information, and the base station will also broadcast its own signal strength information to the user terminal, which is used to determine the best connection mode.

[0043] Position information: the user terminal sends the position information to the base station, so that the base station determines the position of the user and selects the most suitable signal coverage range for communication.

[0044] Data transmission information: the user terminal sends data request to the base station, including download, upload data and other operations, and the base station is responsible for forwarding data and managing the rate and quality of data transmission.

[0045] Control information: the base station sends control information to the user terminal, such as handover instruction, system parameter adjustment, etc., to ensure the stability and efficiency of the network.

[0046] Authentication and security information: the user terminal and the base station will carry out authentication and encrypted communication to ensure the security and privacy protection of the communication process.

[0047] Neighboring area information: the user terminal and the base station exchange the neighboring area information to help the user terminal select the best base station for connection and perform neighboring area switching to maintain the communication quality. ​

[0048] In summary, the interactive information between the user terminal and the base station covers signal strength, location, data transmission, control, security, etc., which are not limited here.

[0049] It should be noted that when the device is connected to the user terminal through the interface, the device acquisition module can collect the interactive information of the user terminal and the base station in real time and collect it into log information (LOG).

[0050] Among them, the log information, that is, the LOG data is a record file that records important events and information in the system running process. In the mobile communication network, the interactive information between the user terminal and the base station can be sorted into log information.

[0051] Among them, the LOG data may include detailed records in the interaction process of network equipment, servers, mobile devices and communication protocols. A large amount of LOG data is involved in network optimization, which can help network operators understand network conditions, user behavior, traffic patterns and other information, so as to optimize the network.

[0052] Among them, the log information can include time stamp, signal strength information, location information, data transmission information, control information and security information, and adjacent area information, which are not limited here.

[0053] Among them, the time stamp records the time when each log information occurs, accurate to millisecond level, so as to analyze the time sequence of events subsequently. The signal strength information records the signal strength between the user terminal and the base station, including the received signal strength indication (RSSI), signal-to-noise ratio (SNR) and other parameters. The location information records the location of the user terminal, including the latitude and longitude coordinates, the number of the base station it is located in, etc., which helps to analyze the coverage range and moving track of the user. The data transmission information records the relevant information in the data transmission process, including the requested data volume, transmission rate, transmission success rate and other indicators. The control information is to record the control information sent by the base station to the user terminal, such as switching instruction, system parameter adjustment, etc., and the response of the user terminal to these control information. Among them, the security information records the relevant information in the authentication and encryption communication process, including the security algorithm type, authentication result, etc. Among them, the adjacent area information records the information of the adjacent area where the user terminal is located, which helps to analyze the process and effect of adjacent area switching. By sorting and recording these information into log files, it is convenient for operators and network engineers to troubleshoot, optimize performance and plan network.

[0054] Step 102, according to the log information, the data report and the event report are parsed and transmitted to the network optimization platform.

[0055] Optionally, the log information can be parsed to obtain a data report, wherein the data report at least contains: cell, signal receiving power, signal-to-noise ratio, frequency point (Arfcn), MAC layer downlink rate (MAC DL), MAC layer uplink rate (MAC UL), downlink modulation and coding strategy (MCSDL), uplink modulation and coding strategy (MCS UL), block error rate (BLER), physical cell identifier (PCI), and voice packet sequence number (Sequence Number).

[0056] Optionally, the log information can be parsed to obtain an event report, wherein the event report at least contains: closed inter-frequency measurement A1 event (EventA1), opened inter-frequency measurement A2 event (EventA2), handover A3 event (EventA3), handover A5 event (EventA5) based on a main service cell and a neighbor cell threshold, inter-system handover B1 event (EventB1), handover B2 event (EventB2) based on a main service cell and an inter-system neighbor cell threshold, handover failure (HO fail), radio link failure (Radio Link Fail), call drop, and RRC connection reestablishment failure (RRC Reestablishment Fail).

[0057] The data format of the data report is shown in Table 1 (wherein Time1 is a first sampling point, Time2 is a continuous second sampling point, one sampling point has one main service cell and zero, one or more neighbor cells).

[0058] Table 1

[0059]

[0060] The data format of the event report is shown in Table 2, and a null value indicates that the collected log does not have the event.

[0061] Table 2

[0062]

[0063]

[0064] Specifically, the data report and the event report can be transmitted to a network optimization platform through FTP.

[0065] The FTP (File Transfer Protocol) is a standard network protocol for file transfer on a computer network, and realizes uploading, downloading and management operations of files through a client-server mode.

[0066] Step 103, obtaining platform data based on the network optimization platform.

[0067] Wherein, the network optimization platform contains an AI model, and the AI model generates a wireless network optimization scheme model after being trained in the network optimization platform.

[0068] Wherein, the network optimization platform obtains platform data based on data reports analyzed by the operation module in the device, including but not limited to 4G (LTE) / 5G (NR) MRO, cell performance table, cell parameter configuration table, work parameters, neighbor relation table, and fault alarm, etc. The 4G (LTE) / 5G (NR) MRO and cell performance table. Among them, the cell parameter configuration table is newly obtained platform data, and the purpose is to improve the accuracy of problem root cause positioning.

[0069] Wherein, the English full name of NR is New Radio, and the Chinese term is Xin Kong. The English full name of LTE is Long Term Evolution, and the Chinese term is Chang Qi Yan Xian. Among them, MRO (Minimization of Drive Tests) mainly refers to collecting real-time network performance data of user equipment through the network side to replace or reduce the need for field testing, so as to more efficiently perform network optimization work.

[0070] As shown in Table 3, Table 3 is a data format table of platform data:

[0071] Table 3

[0072]

[0073]

[0074] Step 104, determining multi-dimensional data according to the data report, the event report and the platform data.

[0075] Optionally, the association intermediate table and the root cause decision rule table can be obtained first, and then the multi-dimensional data can be calculated based on the problem root cause decision rule in the root cause decision rule table, according to the data report, the event report, the platform data and the association intermediate table.

[0076] Wherein, the association intermediate table is used to determine the problem root cause, and the field variable identifier of the association intermediate table is a set of time points of the data report identifier persistence, or a count of the event report identifier.

[0077] Table 4 below is a schematic table of an association intermediate table:

[0078] Table 4

[0079]

[0080]

[0081] The problem root cause decision rule includes, but is not limited to, weak coverage, overlapping coverage, missing neighbor cell, frequent handover, low rate, disconnection, and the like, and is not limited herein.

[0082] As shown in Table 5, Table 5 is a schematic table of a root cause decision rule table:

[0083] Table 5

[0084]

[0085] It should be noted that each of the schematic tables in the embodiments of the present disclosure is only a schematic format description, and does not limit the present disclosure.

[0086] The problem root cause decision rule is a rule table for judging the cause of the network problem.

[0087] Specifically, the network optimization platform can collect multi-dimensional data according to the problem root cause decision rule in the root cause decision rule table, data reports, event reports, platform data, and associated intermediate tables.

[0088] In step 105, the multi-dimensional data is input into the wireless network optimization scheme model to obtain a target wireless network optimization scheme.

[0089] Specifically, after the multi-dimensional data is input into the wireless network optimization scheme model, a wireless network optimization model needs to be constructed first. The network optimization platform can collect and summarize historical data, which includes, but is not limited to, MDT, complaint work order processing data, road test optimization data, historical optimization schemes, operation trace data, and the like, and is not limited herein. Then, the historical data is parsed and text message recognition is performed to obtain a multi-dimensional data table used as a training sample.

[0090] Further, the multi-dimensional data table can be combined with the historical optimization scheme and its retest data to output an optimization scheme, and the training data of the model is constructed. The training data includes feature data, neighbor cell data or parameter configuration associated with the feature data, and an optimization scheme corresponding to the feature data. The feature data includes weak coverage, overlapping coverage, low SINR, missing neighbor cell, frequent handover, low rate, disconnection, transmission problem, uplink interference, call drop, call interruption, alarm, and the like.

[0091] Optionally, a classification algorithm (including but not limited to lightgbm, xgboost, etc.) can be used to input the training data of the 4G or 5G cell, perform model training, and obtain a wireless network optimization scheme model. The model can output a wireless network optimization scheme for a user terminal according to the input high-dimensional data features. The AI training model of the network optimization platform updates and iterates to obtain the wireless network optimization scheme model. Based on the terminal LOG collected by the device, the wireless network optimization scheme model inputs multi-dimensional data and outputs a wireless network optimization scheme.

[0092] Specifically, the network optimization platform can use the AI training model and the AI inference model to give multiple recommended optimization schemes according to the usage frequency of the optimization schemes, and further select a target wireless network optimization scheme based on platform data, thereby improving the accuracy and efficiency of the wireless network optimization scheme and greatly shortening the work order closed-loop cycle.

[0093] Optionally, after obtaining the target wireless network optimization scheme, the device can receive the target wireless network optimization scheme returned by the network optimization platform (hereinafter referred to as "network optimization platform"), and then execute the target wireless network optimization scheme based on the operation and maintenance center (OMC).

[0094] The target wireless network optimization scheme represents the optimal wireless network optimization scheme. It should be noted that the network optimization platform pushes the optimal wireless network optimization scheme to the device, and the device can confirm that the wireless network optimization scheme is correct. The device connects to the OMC through a VPN (Virtual Private Network), transmits the wireless network optimization scheme to the OMC based on a restful interface, and after execution, the OMC feeds back the execution result to the device through the restful interface.

[0095] It should be noted that the same wireless network problem point area can be retested, and after the device obtains the log information in step 101, the device computing module parses the log information to obtain a data report and an event report, and obtains multi-dimensional data through an associated intermediate table. If the device calculates and displays that the problem root cause has not been located, it indicates that the retest is normal, which means that the optimal wireless network optimization scheme output by the AI model has solved the wireless network quality problem. If the device calculates and displays that the problem root cause has been located, it indicates that the wireless network quality problem has not been solved, which means that the optimal wireless network optimization scheme output by the AI model is invalid, and the wireless network optimization scheme needs to be rolled back.

[0096] The network optimization platform refers to a data platform that can obtain MRO, MDT, cell performance table, cell parameter configuration table, work parameters, neighbor relation table, and fault alarm data of 4G (LTE) / 5G (NR), etc.

[0097] Minimization of Reporting Data for Traffic (MRT) is a technology that allows operators to configure terminal devices to periodically report network performance indicators and event information, which can collect a large amount of valuable data for network coverage, capacity planning, interference analysis, and other network optimization scenarios in daily network operation.

[0098] OMC refers to a network management platform, including but not limited to managing base stations, modifying base station site parameters, upgrading software versions, and other network operations.

[0099] It should be noted that the network optimization platform obtains platform data including but not limited to MRO, cell performance table, cell parameter configuration table, work parameters, neighbor relation table, and fault alarm of 4G (LTE) / 5G (NR), and generates multi-dimensional data by combining the three, thereby achieving accurate problem root cause positioning.

[0100] In the embodiments of the present disclosure, first, the interactive information of the user terminal and the base station is collected into log information, then the data report and the event report are obtained by analyzing the log information, and are transmitted to the network optimization platform, then the platform data is obtained based on the network optimization platform, then the multi-dimensional data is determined according to the data report, the event report and the platform data, and finally the multi-dimensional data is input into the wireless network optimization scheme model to obtain the target wireless network optimization scheme. Therefore, the target wireless network optimization scheme can be selected in combination with the platform data, the accuracy and efficiency of the wireless network optimization scheme are improved, the work order closed loop cycle is greatly shortened, and the problem root cause positioning accuracy is improved.

[0101] Figure 2 Another structure block diagram of the wireless network optimization scheme determination device provided by the embodiments of the present disclosure.

[0102] As shown in Figure 2 The wireless network optimization scheme determination device 100 can include a power module 11, a storage module 12, a transmission module 13, an acquisition module 14, and an operation module 15. The power module is used to store power, the acquisition module is used to acquire the interactive information of the user terminal and the base station; the operation module is used to analyze the log information to generate the data report and the event report; the storage module is used to store and manage the target data, wherein the target data includes the log information integrated by the interactive information, and the wireless network optimization scheme; the transmission module at least has the functions of virtual private network connection, wireless network connection and Bluetooth connection.

[0103] The power module stores power, which can facilitate the carrying of the device. The storage module can be used to store and manage data, such as log information and optimization schemes.

[0104] Optionally, the device supports Micro, Type-C and Lightning interfaces, and has an external power button switch. The device supports insertable SIM cards, supports 4G and 5G full frequency bands, and supports a visual interface for APP management.

[0105] The acquisition module collects data from the test terminal, including but not limited to signaling, events, latitude and longitude, RSRP, SINR, etc., through Micro interface, Type C interface and Lightning interface.

[0106] like Figure 3 As shown, Figure 3 The diagram shows the external structure of a device for determining a wireless network optimization scheme. The device includes a Micro interface, a Type-C interface, a Lightning interface, a charging port, and a charging button. It can insert a SIM card and has an APP management visual interface.

[0107] Optionally, the acquisition module collects data from the user terminal under test via Micro, Type-C, and Lightning interfaces. The acquisition module collects at least signaling, events, latitude and longitude, RSRP, SINR, MCS, rate, and neighboring cell information. The processing module supports the APP software in the device to process and parse the logs.

[0108] Optionally, the data acquisition module is used to collect interaction information between the user terminal and the base station according to the test task, provided that the test task has been configured in the APP management visualization interface.

[0109] In summary, the device's computing module can parse and generate data reports and event reports. The network optimization platform uses this data report information to acquire platform data, including but not limited to 4G (LTE) / 5G (NR) MRO, cell performance tables, cell parameter configuration tables, operating parameters, neighbor cell relationship tables, and fault alarms. These three data sources are combined to generate multi-dimensional data, and the process incorporates more diverse platform data information, enabling more accurate root cause localization. The device can connect to user terminals via an interface. After configuring the test tasks on the device's APP, it can collect real-time interaction information between user terminals and base stations, overcoming the limitations of traditional methods that cannot collect such interaction information. The AI ​​model for wireless network optimization is trained on the network optimization platform and iteratively updated to generate the wireless network optimization solution model. The data reports and event reports generated by the device's computing module are transmitted to the network optimization platform. The network optimization platform combines this platform data to generate multi-dimensional data. Based on the multi-dimensional data from both the terminal and platform sides, the network optimization platform's wireless network optimization solution model outputs the optimal wireless network optimization solution.

[0110] To achieve the above-mentioned embodiments, the present application further provides an electronic device, such as Figure 4 as shown in the figure, Figure 4 is a block diagram of an electronic device for determining a wireless network optimization scheme according to an exemplary embodiment.

[0111] as shown in the figure, Figure 4 The electronic device 800 described above includes:

[0112] The memory 810 and the processor 820, the bus 830 connecting different components (including the memory 810 and the processor 820), the memory 810 stores a computer program, and the processor 820 executes the program to realize the method for determining the wireless network optimization scheme described in the embodiments of the present disclosure.

[0113] The bus 830 represents one or more of several types of bus structures, including a memory bus or memory controller, a peripheral bus, a graphics acceleration port, a processor, or a local bus using any of a variety of bus structures. For example, these architectures include but are not limited to industry standard architecture (ISA) bus, micro channel architecture (MAC) bus, enhanced ISA bus, video electronics standards association (VESA) local bus, and peripheral component interconnect (PCI) bus.

[0114] The electronic device 800 typically includes a variety of electronic device readable media. These media can be any available media that can be accessed by the electronic device 800, including volatile and non-volatile media, removable and non-removable media.

[0115] The memory 810 can also include computer system readable media in the form of volatile memory, such as random access memory (RAM) 840 and / or cache memory 850. The electronic device 800 can further include other removable / non-removable, volatile / non-volatile computer system storage media. For example, a storage system 860 can be used to read from and write to a non-removable, non-volatile magnetic media (e.g., a "hard drive"), which is typically mounted on a generally stationary platter inside the electronic device 800 (not shown, commonly referred to as a "hard disk drive"). Although Figure 4 not shown in the figure, a magnetic hard disk drive for reading from and writing to a removable, non-volatile magnetic disk (e.g., a "floppy disk"), and an optical disk drive for reading from or writing to a removable, non-volatile optical disk (e.g., a CD-ROM, DVD-ROM or other optical media) can be provided. In these cases, each drive can be connected to the bus 830 by one or more data media interfaces. The memory 810 can include at least one program product having a set (e.g., at least one) of program modules that are configured to carry out the functions of the embodiments of the present disclosure. Figure 4

[0116] ​A program / utility 880 having a set (at least one) of program modules 870 may be stored, for example, in memory 810. Such program modules 870 include, but are not limited to, an operating system, one or more application programs, other program modules, and program data. Each or some combination of these examples may include an implementation of a network environment. Program modules 870 typically perform the functions and / or methods described in the embodiments of this disclosure.

[0117] Electronic device 800 can also communicate with one or more external devices 890 (e.g., keyboard, pointing device, display, etc.), and with one or more devices that enable a user to interact with the electronic device 800, and / or with any device that enables the electronic device 800 to communicate with one or more other computing devices (e.g., network card, modem, etc.). This communication can be performed through input / output (I / O) interface 892. Furthermore, electronic device 800 can also communicate with one or more networks (e.g., local area network (LAN), wide area network (WAN), and / or public networks, such as the Internet) through network adapter 893. Figure 4 As shown, network adapter 893 communicates with other modules of electronic device 800 via bus 830. It should be understood that, although... Figure 4 As not shown in the diagram, other hardware and / or software modules may be used in conjunction with the electronic device 800, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems.

[0118] The processor 820 performs various functional applications and data processing by running programs stored in the memory 810.

[0119] It should be noted that the implementation process and technical principles of the electronic device in this embodiment are explained in the foregoing description of the method for determining the wireless network optimization scheme of this disclosure embodiment, and will not be repeated here.

[0120] To implement the above embodiments, this application also proposes a computer-readable storage medium storing a computer program thereon, which, when executed by a processor, implements the method for determining the wireless network optimization scheme described in the above embodiments.

[0121] To implement the above embodiments, this disclosure also provides a computer program product, which, when executed by an instruction processor, performs the method for determining the wireless network optimization scheme described in the above embodiments.

[0122] In the description of the specification, the terms "first", "second", "third", etc. are used only to describe various features, and are not to be construed as indicating or implying relative importance or a specific order of limiting the indicated technical features. Therefore, the features defined with "first", "second", etc. can explicitly or implicitly include at least one of the features. In the description of the present application, the meaning of "a plurality of" is at least two, for example, two, three, etc., unless otherwise specifically limited.

[0123] In the description of the specification, the description of the terms "one embodiment", "some embodiments", "an example", "a specific example", or "some examples" and the like means that the specific features, structures, materials or characteristics described in connection with the embodiment or example are included in at least one embodiment or example of the present application. In the present specification, the illustrative description of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any appropriate manner in any one or more embodiments or examples. Furthermore, the person skilled in the art can combine and combine the different embodiments or examples described in the specification and the features of the different embodiments or examples, without contradiction.

[0124] Although the embodiments of the present application have been shown and described above, it is understood that the above-described embodiments are exemplary and are not to be construed as limiting the present application, and those skilled in the art can make changes, modifications, replacements and variations to the above-described embodiments within the scope of the present application.

Claims

1. A method for determining a wireless network optimization scheme, the method comprising: The method comprises the following steps: collecting log information according to the interaction information between the user terminal and the base station; analyzing the data report and the event report according to the log information, and transmitting the data report and the event report to a network optimization platform; obtaining platform data based on the network optimization platform; determining multi-dimensional data according to the data report, the event report and the platform data; inputting the multi-dimensional data into a wireless network optimization scheme model to obtain a target wireless network optimization scheme; wherein, the analyzing the data report and the event report according to the log information comprises: analyzing the log information to obtain the data report, wherein the data report at least contains: cell, signal receiving power, signal-to-noise ratio, frequency point, MAC layer downlink rate, MAC layer uplink rate, downlink modulation and coding strategy, uplink modulation and coding strategy, block error rate, physical cell identifier, voice packet sequence number; analyzing the log information to obtain the event report, wherein the event report at least contains: A1 event of closing inter-frequency measurement, A2 event of starting inter-frequency measurement, A3 event of handover, A5 event of handover based on the threshold of the primary service cell and the adjacent cell, B1 event of inter-system handover, B2 event of handover based on the threshold of the primary service cell and the inter-system adjacent cell, handover failure, radio link failure, voice drop, RRC connection reconstruction failure; wherein, the determining multi-dimensional data according to the data report, the event report and the platform data comprises: obtaining an association intermediate table and a root cause decision rule table; based on the problem root cause decision rule in the root cause decision rule table, calculating the multi-dimensional data according to the data report, the event report, the platform data and the association intermediate table.

2. The method of claim 1, wherein, After the multi-dimensional data is input into the wireless network optimization scheme model to obtain the target wireless network optimization scheme, the method further comprises the following steps: receiving the target wireless network optimization scheme returned by the network optimization platform; executing the target wireless network optimization scheme based on the operation and maintenance center (OMC).

3. A wireless network optimization scheme determination apparatus for implementing the determination method of the wireless network optimization scheme of claim 1, characterized by, The device comprises: a power module, a storage module, a transmission module, a collection module and an operation module, wherein, the power module is used for storing electric energy, and the collection module is used for collecting the interaction information between the user terminal and the base station; the operation module is used for analyzing the log information to generate the data report and the event report; the storage module is used for storing and managing target data, wherein the target data contains the log information integrated by the interaction information and the wireless network optimization scheme; the transmission module at least has the functions of virtual private network connection, wireless network connection and Bluetooth connection.

4. The apparatus of claim 3, wherein, wherein, the device supports Micro interface, Type C interface and Lightning interface, and has an external power button switch; the device supports plug-in SIM card, supports 4G and 5G full frequency band, and supports APP management visual interface.

5. The apparatus of claim 4, wherein, wherein, The collection module collects the user terminal under test through the Micro interface, the Type C interface and the Lightning interface, and collects at least signaling, events, latitude and longitude, RSRP, SINR, MCS, rate and neighbor cell information.

6. The apparatus of claim 4, wherein, In the method, The collection module is configured to collect the interaction information of the user terminal and the base station according to the test task when the test task configuration in the APP management visual interface is completed.

7. An electronic device, comprising: A computer program product comprising a memory, a processor and a computer program stored on the memory and loadable on the processor, the processor implementing the method for determining a wireless network optimization scheme according to any one of claims 1-2 when executing the program.

8. A computer-readable storage medium having stored thereon a computer program, characterized in that The computer program product is configured to implement the method for determining a wireless network optimization scheme according to any one of claims 1-2 when executed by the processor.

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