Method and apparatus for generating wireless network optimization schemes

Abstract

This application proposes a method and apparatus for generating wireless network optimization schemes. The method includes: parsing log data of a terminal device to obtain data reports related to the communication quality of the serving cell and neighboring cells, and event reports related to mobility management and radio link management; obtaining target data from a network optimization platform based on the cell identifiers corresponding to the serving cell and neighboring cells contained in the data reports; determining the root cause data of the wireless network problem corresponding to the terminal device based on the root cause judgment rules, data reports, event reports, and target data; and inputting the root cause data of the wireless network problem into a preset wireless network optimization model to obtain a target wireless network optimization scheme. Thus, based on the wireless network optimization model, the optimization scheme corresponding to the root cause data of the wireless network problem can be quickly and accurately determined, achieving accurate location of network problems and improving the efficiency and accuracy of network optimization.

Description

Technical Field

[0001] This application relates to the field of wireless network technology, and in particular to a method and apparatus for generating a wireless network optimization scheme. Background Technology

[0002] With the increasing demand for mobile services, ensuring the quality of wireless networks is paramount to meeting this demand. The quality of a wireless network directly impacts the user experience, making the rapid resolution of wireless network issues a crucial step in guaranteeing its quality.

[0003] In related technologies, the problem localization is inaccurate and the efficiency is low when optimizing wireless network issues. Summary of the Invention

[0004] This application aims to at least partially address one of the technical problems in the related art.

[0005] Therefore, the purpose of this application is to propose a method and apparatus for generating wireless network optimization schemes. Based on preset root cause judgment rules, data reports, event reports and target data, it can accurately determine the root cause data of wireless network problems corresponding to terminal devices. Then, based on the wireless network optimization model, it can quickly and accurately determine the optimization scheme corresponding to the root cause data of wireless network problems, thereby realizing accurate positioning of network problems and improving the efficiency and accuracy of network optimization.

[0006] To achieve the above objectives, a first aspect of this application proposes a method for generating a wireless network optimization scheme, executed by an electronic device connected to a terminal device, comprising:

[0007] Collect log data related to the wireless network from terminal devices;

[0008] The log data is parsed to obtain data reports related to the communication quality of the serving cell and neighboring cells of the terminal device, and event reports related to mobility management and radio link management.

[0009] Based on the cell identifiers corresponding to the serving cell and neighboring cells contained in the data report, target data associated with the cell identifiers is obtained from the network optimization platform;

[0010] Based on the preset root cause judgment rules, the data report, the event report, and the target data, determine the root cause data of the wireless network problem corresponding to the terminal device;

[0011] The root cause data of the wireless network problem is input into a preset wireless network optimization model to obtain a target wireless network optimization solution.

[0012] To achieve the above objectives, a second aspect of this application proposes a method for generating a wireless network optimization scheme, executed by a network optimization platform, comprising:

[0013] The device receives a data acquisition request sent by an electronic device connected to a terminal device, wherein the data acquisition request includes cell identifiers corresponding to the serving cell and neighboring cells of the terminal device.

[0014] Query the target data associated with the cell identifier;

[0015] The target data is sent to the electronic device.

[0016] To achieve the above objectives, a third aspect of this application provides an apparatus for generating a wireless network optimization scheme, configured on an electronic device side, comprising:

[0017] The data acquisition module is used to collect log data related to the wireless network from the terminal device;

[0018] The parsing module is used to parse the log data to obtain data reports related to the communication quality of the serving cell and neighboring cells of the terminal device, and event reports related to mobility management and radio link management.

[0019] The first acquisition module is used to acquire target data associated with the cell identifier from the network optimization platform based on the cell identifiers corresponding to the serving cell and neighboring cells contained in the data report.

[0020] The determination module is used to determine the root cause data of the wireless network problem corresponding to the terminal device based on the preset root cause judgment rules, the data report, the event report and the target data;

[0021] The second acquisition module is used to input the root cause data of the wireless network problem into a preset wireless network optimization model in order to obtain a target wireless network optimization solution.

[0022] To achieve the above objectives, a fourth aspect of this application provides an apparatus for generating a wireless network optimization scheme, configured on a network optimization platform, comprising:

[0023] A receiving module is configured to receive a data acquisition request sent by an electronic device connected to a terminal device, wherein the data acquisition request includes cell identifiers corresponding to the serving cell and neighboring cells of the terminal device, respectively.

[0024] The query module is used to query target data associated with the cell identifier;

[0025] A sending module is used to send the target data to the electronic device.

[0026] To achieve the above objectives, a fifth aspect of this application provides an electronic device comprising:

[0027] A processor, and a memory communicatively connected to the processor;

[0028] The memory stores computer-executed instructions;

[0029] The processor executes computer execution instructions stored in the memory to implement the method as described in the first aspect embodiment.

[0030] To achieve the above objectives, a network optimization platform is proposed in a sixth aspect of this application, comprising:

[0031] A processor, and a memory communicatively connected to the processor;

[0032] The memory stores computer-executed instructions;

[0033] The processor executes computer execution instructions stored in the memory to implement the method as described in the second aspect embodiment.

[0034] To achieve the above objectives, a seventh aspect of this application provides a computer-readable storage medium storing computer-executable instructions that, when executed by a processor, are used to implement the method described in the first or second aspect embodiments.

[0035] To achieve the above objectives, an eighth aspect of this application provides a computer program product, a computer program that, when executed by a processor, implements the method described in the first or second aspect of the embodiment.

[0036] The wireless network optimization scheme generation method and apparatus provided in this application first collects log data related to the wireless network from the terminal device and parses the log data to obtain data reports related to the communication quality of the serving cell and neighboring cells of the terminal device, and event reports related to mobility management and radio link management. Then, based on the cell identifiers corresponding to the serving cell and neighboring cells contained in the data reports, target data associated with the cell identifiers is obtained from the network optimization platform. Subsequently, according to preset root cause judgment rules, data reports, event reports, and target data, the root cause data of the wireless network problem corresponding to the terminal device is determined. Finally, the root cause data of the wireless network problem is input into a preset wireless network optimization model to obtain the target wireless network optimization scheme. Thus, based on preset root cause judgment rules, data reports, event reports, and target data, the root cause data of the wireless network problem corresponding to the terminal device can be accurately determined. Then, based on the wireless network optimization model, the optimization scheme corresponding to the root cause data of the wireless network problem can be quickly and accurately determined, realizing accurate location of network problems and improving the efficiency and accuracy of network optimization.

[0037] Additional aspects and advantages of this application will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of this application. Attached Figure Description

[0038] The above and / or additional aspects and advantages of this application will become apparent and readily understood from the following description of the embodiments taken in conjunction with the accompanying drawings, wherein:

[0039] Figure 1 A flowchart illustrating a method for generating a wireless network optimization scheme provided in an embodiment of this application;

[0040] Figure 2 A flowchart illustrating another method for generating a wireless network optimization scheme provided in an embodiment of this application;

[0041] Figure 3 A flowchart illustrating another method for generating a wireless network optimization scheme provided in an embodiment of this application;

[0042] Figure 4 A flowchart illustrating a method for generating a wireless network optimization scheme provided in an embodiment of this application;

[0043] Figure 5 A schematic diagram of training data for a wireless network optimization model provided in an embodiment of this application;

[0044] Figure 6 A flowchart illustrating a method for generating a wireless network optimization scheme provided in the application embodiment;

[0045] Figure 7 A schematic diagram of a device for generating a wireless network optimization scheme provided in the application embodiment; and

[0046] Figure 8 This is a schematic diagram of a device for generating a wireless network optimization scheme according to an embodiment of this application. Detailed Implementation

[0047] The embodiments of this application are described in detail below. Examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals denote 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 intended to explain this application, and should not be construed as limiting this application.

[0048] The following description, with reference to the accompanying drawings, describes a method and apparatus for generating a wireless network optimization scheme according to embodiments of this application.

[0049] Figure 1 This is a flowchart illustrating a method for generating a wireless network optimization scheme according to an embodiment of this application, executed by an electronic device connected to a terminal device.

[0050] like Figure 1 As shown, the method for generating this wireless network optimization scheme includes the following steps:

[0051] Step 101: Collect log data related to the wireless network from the terminal device.

[0052] Among them, the terminal device (UE) can be a terminal with poor wireless network quality.

[0053] In some embodiments, the electronic device connected to the terminal device may also be referred to as an external device. This electronic device may include interfaces such as Micro USB, Type-C, and Lightning to enable connection with the terminal device.

[0054] In some embodiments, the electronic device may include, but is not limited to, rate testing, PING testing, and voice testing functions. After configuring the test items and clicking "Start," information including, but not limited to, signaling, events, latitude and longitude, RSRP, SINR, MCS, rate, and neighboring cells will be collected.

[0055] Step 102: Parse the log data to obtain data reports related to the communication quality of the serving cell and neighboring cells of the terminal device, and event reports related to mobility management and radio link management.

[0056] In some embodiments, the data report may include:

[0057] Sampling time point;

[0058] At each sampling time point, the serving cell (Scell) must possess at least one of the following: cell identifier, longitude (Lon), latitude (Lat), reference signal received power (RSRP), signal-to-interference plus noise ratio (SINR), frequency (Arfcn), media access control (MAC) layer downlink rate (DL), MAC layer uplink rate (UL), downlink modulation and coding scheme (MCSDL), uplink modulation and coding scheme (MCS UL), block error rate (BLER), physical cell identifier (PCI), and voice packet sequence number; and

[0059] At least one of the following for each neighboring cell (Scell) at each sampling time point: cell identifier, longitude (Lon), latitude (Lat), received signal power (RSRP), signal-to-noise ratio (SINR), frequency (Arfcn), and physical cell identifier (PCI);

[0060] Table 1 is a data report format provided in an embodiment of this application.

[0061] Table 1

[0062]

[0063] Null values ​​indicate that the field variable is a service item or a parameter related to a service item. The service can only be executed on a serving cell (Scell), so the neighboring cell column has no data. For example, in Table 1, the MAC layer downlink rate (MAC DL) may be used to perform a download service in cell 123456-1 at a certain moment, and then switch to cell 234567-1 at the next moment.

[0064] In some embodiments, an event report may include at least one of the following:

[0065] The occurrence times of the following events are recorded: Inter-frequency measurement shutdown A1 event (Event A1), Inter-frequency measurement startup A2 event (Event A2), Handover A3 event (Event A3), Handover A5 event based on primary serving cell and neighboring cell thresholds (Event A5), Inter-system handover B1 event (Event B1), Handover B2 event based on primary serving cell and inter-system neighboring cell thresholds (Event B2), Handover failure (HO fail event), Radio link failure event, Call drop event, and Radio Resource Control (RRC) Reestablishment Failure event.

[0066] Table 2 is an event report format provided in one embodiment of this application.

[0067] Table 2

[0068] Field variable identifier Scell time EventA1 EventA2 Y 11:42:06:278 EventA3 Y 11:42:07:043 EventA5 EventB1 EventB2 HO fail Radio Link Fail call drop RRC Reestablishment Fail …

[0069] A null value indicates that the event did not occur in the collected Japanese data.

[0070] Step 103: Based on the cell identifiers corresponding to the serving cell and neighboring cells contained in the data report, obtain the target data associated with the cell identifiers from the network optimization platform.

[0071] In some embodiments, a data acquisition request can be sent to the network optimization platform, wherein the data acquisition request includes the cell identifiers corresponding to the serving cell and neighboring cells of the terminal device, and then the target data sent by the network optimization platform can be received.

[0072] In some embodiments, the target data may include at least one of the following: the cell's Measurement Report Original (MRO), cell performance table, cell parameter configuration table, cell neighbor relationship table, cell operating parameters, cell fault alarm data, and cell minimum drive test data.

[0073] The measurement report for a cell includes, but is not limited to, the time of neighboring cells, cell identifier, base station ID (gNBId), received power of the Synchronization Signal Block (SSB) reference signal of the serving cell, received quality of the SSB reference signal of the NR serving cell, signal-to-noise ratio of the SSB reference signal of the NR serving cell, UE uplink packet loss rate, and UE downlink packet loss rate.

[0074] The cell performance table includes, but is not limited to, cell traffic, uplink physical resource block (PRB) utilization, downlink PRB utilization, maximum number of users, and uplink interference level.

[0075] The cell parameter configuration table includes, but is not limited to, physical cell identifier (PCI), center frequency (Arfcn), transmit power, cell handover decision events, decision thresholds, and other related parameters.

[0076] In some embodiments, when the serving cell is a 5G cell, the target data may include at least one of the following: cell measurement report, cell performance table, cell parameter configuration table, cell neighbor relationship table, cell operating parameters, and cell fault alarm data.

[0077] Table 3 shows a target data format provided in one embodiment of this application.

[0078] Table 3

[0079]

[0080]

[0081] In some embodiments, when the serving cell is a 4G cell, the target data may include at least one of the following: cell measurement report, cell performance table, cell parameter configuration table, cell operating parameters, cell fault alarm data, and cell minimumization drive test (MDT) data.

[0082] Table 4 shows a target data format provided in one embodiment of this application.

[0083] Table 4

[0084]

[0085]

[0086] Step 104: Determine the root cause data of the wireless network problem corresponding to the terminal device based on the preset root cause judgment rules, data reports, event reports and target data.

[0087] The root causes of the problem may include, but are not limited to, weak coverage, overlapping coverage, missing neighbor cell configuration, frequent handover, low data rate, and dropped connection.

[0088] In some embodiments, the decision rules on which the problem is based may be as shown in Table 5.

[0089] Table 5

[0090]

[0091] For example, the neighbor cell missing configuration decision rule can be that the sampling point and its 50 consecutive sampling points have more than 30 EventA3-COUNT or EventA5-COUNT values, and the RSRP value of the neighboring cell of the sampling point is more than 6 dBm better than the RSRP value of the serving cell. The data report corresponding to the 50 consecutive sampling points can be shown in Table 6, and the corresponding event report can be shown in Table 7.

[0092] Table 6

[0093]

[0094] Table 7

[0095] residential area EventA3 EventA2 … Time5 Scell1 Time6 Scell1 Y Time7 Scell1 Y Time8 Scell1 Y Time9 Scell2 Y Y Time10 Scell1 Y Y … Time55 Scell1 Y Y

[0096] In summary, as shown in Tables 6 and 7, in 50 consecutive sampling points, the RSRP value of its neighboring cell Ncell2 is more than 6 dBm better than that of Scell1, and the EventA3 event count of Scell1 is greater than 30. According to the decision rule, there is a missing neighboring cell match between Scell1 and Ncell2.

[0097] In some embodiments, the root cause data of a wireless network problem may include: a target root cause corresponding to a terminal device; and at least one of the following: average received power, average signal-to-noise ratio, transmit power, and physical cell identifier (PCI) of neighboring cells at multiple sampling time points associated with the target root cause.

[0098] The data table corresponding to the root cause data of wireless network problems can be shown in Table 8.

[0099] Table 8

[0100]

[0101]

[0102] Among them, the RSRP / SINR values ​​of neighboring cell1 refer to the average RSRP / SINR values ​​of the sampling points corresponding to the root cause of the problem in the main cell. The root cause of the problem reported on the network optimization platform does not need to report the average RSRP / SINR values ​​of neighboring cells and the neighboring cell parameter configuration.

[0103] In some embodiments, an intermediate table may also be determined, wherein the field variable identifier of the intermediate table is either a collection of time points for which the identifier persists in a data report, or a count of the identifier in an event report. The intermediate table may be as shown in Table 9.

[0104] Table 9

[0105]

[0106] As shown in Table 9, Table 9 contains the data table associated with each root cause of the problem, along with the corresponding field variables and whether they are related to the count. Therefore, based on the associated intermediate table, the root cause data of wireless network problems can be quickly determined from data reports, event reports, and target data by referring to the root cause judgment rules, thus improving the efficiency of determining the root cause data of wireless network problems.

[0107] Step 105: Input the root cause data of the wireless network problem into the preset wireless network optimization model to obtain the target wireless network optimization solution.

[0108] In some embodiments, the wireless network optimization model can be trained on other devices and then deployed on an electronic device connected to the terminal device. For example, the wireless network optimization model can be trained and generated on a network optimization platform and then deployed on the electronic device; or it can be trained and generated on other devices with model training capabilities and then deployed on the electronic device. This application does not limit this.

[0109] In some embodiments, the wireless network optimization model can provide one or more initial wireless network optimization schemes with the highest usage frequency based on the usage frequency of each optimization scheme.

[0110] In some embodiments, when there is only one wireless network optimization scheme, the target wireless network optimization scheme can be directly selected.

[0111] In some embodiments, if the root cause data of wireless network problems is input into the wireless network optimization model to obtain multiple initial wireless network optimization schemes, a target wireless network optimization scheme can be generated based on the multiple initial wireless network optimization schemes and the cell parameter configuration table in the target data.

[0112] For example, at a certain moment, the terminal connects to an electronic device, and the target data obtained by the electronic device is shown in Table 10.

[0113] Table 10

[0114]

[0115] The optimization scheme output by the wireless network optimization scheme model is as follows: the power of 123456-1 is increased to 44.7, the electronic downtilt angle of 234567-4 is adjusted from 2 degrees to 6 degrees, the mechanical downtilt angle of 234567-5 is adjusted from 3 degrees to 6 degrees, the electronic downtilt angle of 345678-1 is adjusted from 6 degrees to 9 degrees, and the azimuth angle of 654321-6 is adjusted from 270 degrees to 300 degrees.

[0116] The second optimization scheme increases the power of 123456-1 to 44.7, adjusts the electronic downtilt angle of 234567-4 from 4 degrees to 8 degrees, adjusts the mechanical downtilt angle of 234567-5 from 3 degrees to 6 degrees, adjusts the electronic downtilt angle of 345678-1 from 5 degrees to 8 degrees, and adjusts the azimuth angle of 654321-6 from 270 degrees to 300 degrees.

[0117] The third optimization scheme adjusts the electronic downtilt angle of 234567-4 from 2 degrees to 6 degrees, the mechanical downtilt angle of 234567-5 from 3 degrees to 6 degrees, the mechanical downtilt angle of 345678-1 from 4 degrees to 7 degrees, and the azimuth angle of 654321-6 from 180 degrees to 140 degrees.

[0118] Based on the cell parameter configuration table in the target data, the target wireless network optimization scheme can be determined as follows: increase the power of 123456-1 to 44.7, adjust the electronic downtilt angle of 234567-4 from 4 degrees to 8 degrees, adjust the mechanical downtilt angle of 234567-5 from 3 degrees to 6 degrees, adjust the mechanical downtilt angle of 345678-1 from 4 degrees to 7 degrees, and adjust the azimuth angle of 654321-6 from 270 degrees to 300 degrees.

[0119] Among them, the electronic undertilt angle of 234567-4 is 4 degrees according to the network optimization platform. The second optimization scheme 234567-4 adjusts the electronic undertilt angle from 4 degrees to 8 degrees. Therefore, the electronic undertilt angle of 234567-4 is adjusted from 4 degrees to 8 degrees. The mechanical undertilt angle of 345678-1 is adjusted from 4 degrees to 7 degrees because the actual electronic undertilt angle is 12 degrees. The third optimization scheme 345678-1 adjusts the mechanical undertilt angle from 4 degrees to 7 degrees. Therefore, the mechanical undertilt angle of 345678-1 is adjusted from 4 degrees to 7 degrees.

[0120] In this embodiment, log data related to the wireless network is first collected from the terminal device and parsed to obtain data reports related to the communication quality of the serving cell and neighboring cells, and event reports related to mobility management and radio link management. Then, based on the cell identifiers corresponding to the serving cell and neighboring cells contained in the data reports, target data associated with the cell identifiers is obtained from the network optimization platform. Next, according to preset root cause judgment rules, data reports, event reports, and target data, the root cause data of the wireless network problem corresponding to the terminal device is determined. Finally, the root cause data of the wireless network problem is input into a preset wireless network optimization model to obtain a target wireless network optimization solution. Therefore, based on preset root cause judgment rules, data reports, event reports, and target data, the root cause data of the wireless network problem corresponding to the terminal device can be accurately determined. Then, based on the wireless network optimization model, the optimization solution corresponding to the root cause data of the wireless network problem can be quickly and accurately determined, achieving accurate location of network problems and improving the efficiency and accuracy of network optimization.

[0121] Figure 2 This is a flowchart illustrating a method for generating a wireless network optimization scheme provided in an embodiment of this application. Figure 2 As shown, the method for generating this wireless network optimization scheme may include the following steps:

[0122] Step 201: If the file transfer link between the network optimization platform and the network optimization platform is successfully established, receive the target file sent by the network optimization platform. The target file includes data related to the wireless network optimization model, which is generated by the network optimization platform during training.

[0123] In some embodiments, the network optimization platform can send target files to electronic devices via IP address addressing.

[0124] Specifically, it may include the following steps:

[0125] (1) The network optimization platform side computing center (hereinafter referred to as the network optimization platform) sends a file transfer link connection request to the electronic device, carrying the sending port ID of the network optimization platform.

[0126] (2) After receiving the request message, the electronic device sends a file transfer link connection response to the network optimization platform, carrying the electronic device receiving port ID.

[0127] (3) After receiving the receiving port ID of the electronic device, the network optimization platform sends a transmission link establishment request, which carries the file description information of the wireless network optimization model.

[0128] The file description information may include at least one of the following: the number of files to be transmitted, the name of the files to be transmitted, the size of the files to be transmitted, the format of the files to be transmitted, the encoding method of the files to be transmitted, the maximum bandwidth used, the maximum number of retransmissions, the file retransmission penalty duration, and the waiting time for resuming transmission interruptions.

[0129] (4) After the electronic device verifies the file description information carried in the transmission request, it sends a response instruction to the network optimization platform to establish a file transmission link.

[0130] (5) The network optimization platform begins to send the target file corresponding to the wireless network optimization model to the electronic devices.

[0131] (6) If the electronic device completes the reception, it returns a message indicating that the target file has been successfully received; if the electronic device fails to receive the file, it resends the file transmission link to the network optimization platform to retransmit the file. If the number of retries exceeds the maximum number of retransmissions and the process fails, it terminates the process.

[0132] Step 202: Deploy the wireless network optimization model based on the target file.

[0133] In this embodiment of the application, after receiving the target file corresponding to the wireless network optimization model, the electronic device can deploy the wireless network optimization model in the electronic device.

[0134] Step 203: Collect log data related to the wireless network from the terminal device.

[0135] Step 204: Parse the log data to obtain data reports related to the communication quality of the serving cell and neighboring cells of the terminal device, and event reports related to mobility management and radio link management.

[0136] Step 205: Based on the cell identifiers corresponding to the serving cell and neighboring cells contained in the data report, obtain the target data associated with the cell identifiers from the network optimization platform.

[0137] Step 206: Determine the root cause data of the wireless network problem corresponding to the terminal device based on the preset root cause judgment rules, data reports, event reports and target data.

[0138] Step 207: Input the root cause data of the wireless network problem into the preset wireless network optimization model to obtain the target wireless network optimization solution.

[0139] The specific implementation of steps 203 to 207 can be found in the detailed descriptions of other embodiments in this application, and will not be repeated here.

[0140] In this embodiment, once a file transfer link with the network optimization platform is successfully established, a target file sent by the platform can be received. This target file includes data related to a wireless network optimization model, which is generated by the network optimization platform. The wireless network optimization model is then deployed based on the target file. This allows the wireless network optimization model trained by the platform to be deployed in an electronic device, eliminating the need for the device to train its own model. This reduces hardware requirements, and the device can connect to and is portable, supporting subsequent collection of log data from the terminal device and the generation of optimization schemes using the wireless network optimization model. This enables the rapid and accurate determination of optimization solutions.

[0141] Figure 3 This is a flowchart illustrating a method for generating a wireless network optimization scheme provided in an embodiment of this application. Figure 3 As shown, the method for generating this wireless network optimization scheme may include the following steps:

[0142] Step 301: Receive a data acquisition request sent by an electronic device connected to the terminal device, wherein the data acquisition request includes the cell identifiers corresponding to the serving cell and neighboring cells of the terminal device.

[0143] The data acquisition request includes the cell identifiers corresponding to the serving cell and neighboring cells of the terminal device, which are obtained by analyzing the log data of the terminal device by the electronic device.

[0144] Step 302: Query the target data associated with the cell identifier.

[0145] The network optimization platform contains data related to each cell. Therefore, after receiving the cell identifiers corresponding to the serving cell and neighboring cells of the terminal device, the network optimization platform can query the target data associated with the cell identifier based on the cell identifier.

[0146] In some embodiments, the target data may include at least one of the following: cell measurement reports, cell performance tables, cell parameter configuration tables, cell neighbor relationship tables, cell operating parameters, and cell fault alarm data.

[0147] The measurement reports, performance tables, parameter configuration tables, neighbor relationship tables, operating parameters, and fault alarm data of the cell can be found in the detailed descriptions in other embodiments of this application, and will not be repeated here.

[0148] Step 303: Send the target data to the electronic device.

[0149] In this embodiment, after receiving a data acquisition request from an electronic device, the network optimization platform queries the target data associated with the cell identifiers of the serving cell and neighboring cells of the terminal device, based on the cell identifiers included in the data acquisition request, and sends the target data to the electronic device. This provides accurate target data to the electronic device, supporting its accurate determination of the root cause of wireless network problems.

[0150] In some embodiments, the network optimization platform can also be used to train and generate a wireless network optimization model before providing target data to the electronic device, and then send the wireless network optimization model to the electronic device. Figure 4 This is a flowchart illustrating a method for generating a wireless network optimization scheme provided in an embodiment of this application. Figure 4 As shown, the method for generating this wireless network optimization scheme may include the following steps:

[0151] Step 401: Obtain historical root cause data of wireless network problems and corresponding historical optimization solutions.

[0152] In some embodiments, the network optimization platform can collect and summarize historical data (including but not limited to MDT, complaint work order processing data, drive test optimization data, historical optimization schemes, operation log data, retest results, etc.), and analyze the historical data to obtain historical wireless network problem root cause data and corresponding historical optimization schemes.

[0153] For example, given historical log data, the root cause is described as frequent handovers. Text information identification suggests an optimization solution: setting the Cell Individual Offset (CIO) from NCI1 to NCI2 to -4, and the CIO from NCI2 to NCI1 to -4. Retesting then proceeds normally. Therefore, by analyzing the historical log data, we can obtain the root cause data for historical wireless network problems and set the Cell Individual Offset (CIO) from NCI1 to NCI2 to -4, and the CIO from NCI2 to NCI1 to -4, as the corresponding historical optimization solution.

[0154] Step 402: Train and generate a wireless network optimization model based on historical root cause data of wireless network problems and historical optimization schemes.

[0155] Among them, the historical root cause data of wireless network problems and the corresponding historical optimization schemes are used as training data for the wireless network optimization model, and the historical optimization schemes are labeled data.

[0156] Figure 5 This is a schematic diagram of training data for a wireless network optimization model provided in an embodiment of this application, as shown below. Figure 5 As shown, “STATCAUSE*-NCI*” is the root cause of the problem corresponding to the serving cell NCI*, “NCI*-*” represents the neighbor cell data or parameter configuration associated with STATCAUSE*-NCI*, and “Scheme1*” represents the historical optimization scheme corresponding to “STATCAUSE*-NCI*”.

[0157] Specifically, the relevant fields of STATCAUSE* are described in Table 11.

[0158] Table 11

[0159]

[0160] In some embodiments, classification algorithms (including but not limited to LightGBM, XGBoost, etc.) can be used to train and generate wireless network optimization models.

[0161] Step 403: If the file transfer link between the electronic device and the electronic device is successfully established, send the target file to the electronic device. The target file includes data related to the wireless network optimization model.

[0162] The specific implementation of step 403 can be found in the detailed descriptions of other embodiments of this application, and will not be repeated here.

[0163] In this embodiment, the network optimization platform acquires historical root cause data of wireless network problems and corresponding historical optimization schemes. Then, based on this data, it trains and generates a wireless network optimization model. Finally, after a successful file transfer link is established with the electronic device, it sends a target file to the device. This target file includes data related to the wireless network optimization model. Thus, the network optimization platform can train and generate a wireless network optimization model based on historical root cause data and corresponding historical optimization schemes, and send this model to the electronic device, supporting the electronic device in quickly and accurately generating a target wireless network optimization scheme based on the model.

[0164] In some embodiments, the electronic device connected to the terminal device includes:

[0165] ① Power module: Used to store electrical energy, making it convenient for newly added electronic devices to carry;

[0166] ② Storage module: Used to save and manage electronic device data, including but not limited to log data (LOG), wireless network optimization models, etc.;

[0167] ③ Transmission module: Equipped with virtual private network connection, WIFI connection, and Bluetooth connection, for connecting electronic devices including but not limited to test terminals, etc.

[0168] ④ Data Acquisition Module: The test terminal acquires data including, but not limited to, signaling, events, latitude and longitude, RSRP, SINR, etc., through Micro, Type C and Lightning interfaces.

[0169] ⑤ Computation module: Used to support the computation and parsing of LOG by electronic devices, and to support the computation of wireless network optimization models.

[0170] Figure 6 A flowchart illustrating a method for generating a wireless network optimization scheme provided in the application embodiment; as shown. Figure 6 As shown, the method for generating this wireless network optimization scheme includes:

[0171] ① When electronic devices are connected to user terminals via interfaces (Micro interface, Type C interface, Lightning interface), the APP on the electronic device interface supports functions including but not limited to speed testing, PING testing, and voice testing. After configuring the test items, clicking "Start" will collect information including but not limited to signaling, events, latitude and longitude, RSRP, SINR, MCS, speed, and neighboring cells.

[0172] ②After collecting and aggregating the log data, the electronic device's processing module parses the log data to obtain data reports and event reports, and then transmits the data reports to the network optimization platform via File Transfer Protocol (FTP).

[0173] ③ The network optimization platform collects target data based on the data reports parsed by the electronic device's computing module, including but not limited to 4G (LTE) / 5G (NR) MRO, cell performance table, cell parameter configuration table, operating parameters, neighbor cell relationship table, and fault alarms, and pushes the target data to the electronic device;

[0174] ④ The electronic device's processing module aggregates the data into root cause data of wireless network problems and inputs it into the wireless network optimization model in the storage module to obtain the target wireless network optimization solution.

[0175] ⑤ Once the electronic device confirms that the target wireless network optimization plan is correct, it connects to the Operation and Maintenance Center (OMC) via VPN and transmits the target wireless network optimization plan to the OMC for execution based on the RESTful interface.

[0176] ⑥ After the OMC completes its execution, it sends the execution result back to the electronic device through a RESTful interface.

[0177] ⑦ The electronic device retests the same wireless network problem area. After obtaining log data in step ①, the electronic device's calculation module parses the log data to obtain data reports and event reports, thereby determining the root cause of the wireless network problem. If the electronic device's calculation shows that the root cause of the problem has not been located, it indicates that the retest is normal, meaning that the target wireless network optimization solution output by the wireless network optimization model has solved the poor wireless network quality problem. If the electronic device's calculation shows that the root cause of the problem has been located, it indicates that the poor wireless network quality problem has not been solved, meaning that the target wireless network optimization solution output by the wireless network optimization model is invalid and needs to be rolled back.

[0178] Among them, the network optimization platform refers to a platform that can acquire data including but not limited to 4G (LTE) / 5G (NR) MRO, MDT, cell performance table, cell parameter configuration table, engineering parameters, neighbor cell relationship table, and fault alarms; OMC refers to the network management platform, which includes but is not limited to managing base stations, modifying base station site parameters, and upgrading software versions; the wireless network optimization model can be deployed to electronic devices after iterative training and maturation on the network optimization platform.

[0179] To implement the above embodiments, this application also proposes a wireless network optimization scheme generation apparatus.

[0180] Figure 7 This is a schematic diagram of a device for generating a wireless network optimization scheme according to an embodiment of this application. Figure 7 As shown, the device for generating the wireless network optimization scheme, configured on the electronic device side, includes:

[0181] The acquisition module 701 is used to collect log data related to the wireless network in the terminal device;

[0182] The parsing module 702 is used to parse the log data to obtain data reports related to the communication quality of the serving cell and neighboring cells of the terminal device, and event reports related to mobility management and radio link management.

[0183] The first acquisition module 703 is used to acquire target data associated with the cell identifier from the network optimization platform based on the cell identifiers corresponding to the serving cell and neighboring cells contained in the data report.

[0184] The determination module 704 is used to determine the root cause data of the wireless network problem corresponding to the terminal device based on the preset root cause judgment rules, data reports, event reports and target data;

[0185] The second acquisition module 705 is used to input the root cause data of wireless network problems into a preset wireless network optimization model in order to obtain the target wireless network optimization solution.

[0186] Furthermore, in one possible implementation of this application embodiment, a receiving module is also included, configured to:

[0187] Once the file transfer link between the network optimization platform and the network optimization platform is successfully established, the target file sent by the network optimization platform is received. The target file includes data related to the wireless network optimization model, which is generated by the network optimization platform during training.

[0188] Deploy a wireless network optimization model based on the target file.

[0189] Furthermore, in one possible implementation of the embodiments of this application,

[0190] The data report includes: sampling time points; at least one of the following for the serving cell at each sampling time point: cell identifier, longitude, latitude, signal received power, signal-to-noise ratio, frequency, MAC layer downlink rate, MAC layer uplink rate, downlink modulation and coding strategy, uplink modulation and coding strategy, block error rate, physical cell identifier, and voice packet sequence number; and at least one of the following for neighboring cells at each sampling time point: cell identifier, longitude, latitude, signal received power, signal-to-noise ratio, frequency, and physical cell identifier.

[0191] Event reports include at least one of the following:

[0192] The occurrence times of events for the following events are listed: Inter-frequency measurement shutdown (A1), Inter-frequency measurement startup (A2), Handover (A3), Handover based on primary serving cell and neighboring cell thresholds (A5), Inter-system handover (B1), Handover based on primary serving cell and inter-system neighboring cell thresholds (B2), Handover failure, Radio link failure, Dropped voice call, and Radio Resource Control (RRC) connection re-establishment failure.

[0193] Furthermore, in one possible implementation of this application embodiment, the target data includes at least one of the following:

[0194] The data includes the cell's measurement report, cell performance table, cell parameter configuration table, cell neighbor relationship table, cell operating parameters, cell fault alarm data, and cell minimum drive test data.

[0195] Furthermore, in one possible implementation of this application embodiment, the root cause data of wireless network problems includes:

[0196] The root cause of the target problem corresponding to the terminal device; and

[0197] At least one of the following: mean received power, mean signal-to-noise ratio, transmit power, and physical cell identifier of neighboring cells at multiple sampling time points associated with the root cause of the target problem.

[0198] Furthermore, in one possible implementation of this application embodiment, the second acquisition module 705 is used for:

[0199] Input the root cause data of wireless network problems into the wireless network optimization model to obtain multiple initial wireless network optimization solutions;

[0200] Based on multiple initial wireless network optimization schemes and the cell parameter configuration table in the target data, a target wireless network optimization scheme is generated.

[0201] It should be noted that the foregoing explanation of the method for generating wireless network optimization schemes also applies to the apparatus for generating wireless network optimization schemes in this embodiment, and will not be repeated here.

[0202] In this embodiment, log data related to the wireless network is first collected from the terminal device and parsed to obtain data reports related to the communication quality of the serving cell and neighboring cells, and event reports related to mobility management and radio link management. Then, based on the cell identifiers corresponding to the serving cell and neighboring cells contained in the data reports, target data associated with the cell identifiers is obtained from the network optimization platform. Next, according to preset root cause judgment rules, data reports, event reports, and target data, the root cause data of the wireless network problem corresponding to the terminal device is determined. Finally, the root cause data of the wireless network problem is input into a preset wireless network optimization model to obtain a target wireless network optimization solution. Therefore, based on preset root cause judgment rules, data reports, event reports, and target data, the root cause data of the wireless network problem corresponding to the terminal device can be accurately determined. Then, based on the wireless network optimization model, the optimization solution corresponding to the root cause data of the wireless network problem can be quickly and accurately determined, achieving accurate location of network problems and improving the efficiency and accuracy of network optimization.

[0203] Figure 8 This is a schematic diagram of a device for generating a wireless network optimization scheme according to an embodiment of this application. Figure 8 As shown, the device for generating the wireless network optimization scheme, configured on the network optimization platform side, includes:

[0204] The receiving module 801 is used to receive a data acquisition request sent by an electronic device connected to the terminal device, wherein the data acquisition request includes the cell identifiers corresponding to the serving cell and neighboring cells of the terminal device respectively;

[0205] Query module 802 is used to query target data associated with the cell identifier;

[0206] The sending module 803 is used to send target data to an electronic device.

[0207] Furthermore, in one possible implementation of this application embodiment, a training module is also included, used for:

[0208] Obtain historical root cause data on wireless network problems and corresponding historical optimization solutions;

[0209] Based on historical data on the root causes of wireless network problems and historical optimization solutions, a wireless network optimization model is trained and generated.

[0210] Once a file transfer link is successfully established with the electronic device, a target file is sent to the electronic device. This target file contains data related to the wireless network optimization model.

[0211] Furthermore, in one possible implementation of this application embodiment, the target data includes at least one of the following:

[0212] The community's measurement report, community performance table, community parameter configuration table, community neighbor relationship table, community operating parameters, and community fault alarm data.

[0213] It should be noted that the foregoing explanation of the method for generating wireless network optimization schemes also applies to the apparatus for generating wireless network optimization schemes in this embodiment, and will not be repeated here.

[0214] In this embodiment, after receiving a data acquisition request from an electronic device, the network optimization platform queries the target data associated with the cell identifiers of the serving cell and neighboring cells of the terminal device, which are included in the data acquisition request, and sends the target data to the electronic device. This provides accurate target data to the electronic device, supporting its accurate identification of the root causes of wireless network problems.

[0215] To implement the above embodiments, this application also proposes an electronic device, including: a processor and a memory communicatively connected to the processor; the memory stores computer-executable instructions; the processor executes the computer-executable instructions stored in the memory to implement the method provided in the foregoing embodiments.

[0216] To implement the above embodiments, this application also proposes a network optimization platform, including: a processor and a memory communicatively connected to the processor; the memory stores computer-executable instructions; the processor executes the computer-executable instructions stored in the memory to implement the methods provided in the foregoing embodiments.

[0217] To implement the above embodiments, this application also proposes a computer-readable storage medium storing computer-executable instructions, which, when executed by a processor, are used to implement the methods provided in the foregoing embodiments.

[0218] To implement the above embodiments, this application also proposes a computer program product, including a computer program that, when executed by a processor, implements the methods provided in the foregoing embodiments.

[0219] The collection, storage, use, processing, transmission, provision, and disclosure of user personal information involved in this application all comply with the provisions of relevant laws and regulations and do not violate public order and good morals.

[0220] It should be noted that personal information collected from users should be used for legitimate and reasonable purposes and should not be shared or sold outside of these legitimate uses. Furthermore, such collection / sharing should only be conducted after receiving the user's informed consent, including but not limited to notifying the user to read the user agreement / user notice and sign an agreement / authorization that includes authorization of relevant user information before the user uses the function. In addition, any necessary steps must be taken to protect and safeguard access to such personal information data and ensure that others with access to personal information data comply with their privacy policies and procedures.

[0221] This application is intended to provide an implementation scheme for users to selectively prevent the use or access to their personal information data. Specifically, this application is intended to provide hardware and / or software to prevent or block access to such personal information data. Once personal information data is no longer needed, risks can be minimized by restricting data collection and deleting data. Furthermore, where applicable, such personal information is de-identified to protect user privacy.

[0222] In the foregoing descriptions of the embodiments, the terms "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., refer to specific features, structures, materials, or characteristics described in connection with that embodiment or example, which are included in at least one embodiment or example of this application. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples. Moreover, without contradiction, those skilled in the art can combine and integrate the different embodiments or examples described in this specification, as well as the features of different embodiments or examples.

[0223] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one of that feature. In the description of this application, "multiple" means at least two, such as two, three, etc., unless otherwise explicitly specified.

[0224] Any process or method description in the flowchart or otherwise herein can be understood as representing a module, segment, or portion of code comprising one or more executable instructions for implementing custom logic functions or processes, and the scope of the preferred embodiments of this application includes additional implementations in which functions may be performed not in the order shown or discussed, including substantially simultaneously or in reverse order depending on the functions involved, as should be understood by those skilled in the art to which embodiments of this application pertain.

[0225] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as a sequenced list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by, or in conjunction with, an instruction execution system, apparatus, or device (such as a computer-based system, a processor-included system, or other system that can fetch and execute instructions from, an instruction execution system, apparatus, or device). For the purposes of this specification, "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transmit programs for use by, or in conjunction with, an instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of computer-readable media include: an electrical connection having one or more wires (electronic device), a portable computer disk drive (magnetic device), random access memory (RAM), read-only memory (ROM), erasable and editable read-only memory (EPROM or flash memory), fiber optic devices, and portable optical disc read-only memory (CDROM). Furthermore, computer-readable media can even be paper or other suitable media on which programs can be printed, because programs can be obtained electronically, for example, by optically scanning the paper or other media, followed by editing, interpreting, or otherwise processing as necessary, and then stored in computer memory.

[0226] It should be understood that various parts of this application can be implemented using hardware, software, firmware, or a combination thereof. In the above embodiments, multiple steps or methods can be implemented using software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware as in another embodiment, it can be implemented using any one or a combination of the following techniques known in the art: discrete logic circuits having logic gates for implementing logical functions on data signals, application-specific integrated circuits (ASICs) having suitable combinational logic gates, programmable gate arrays (PGAs), field-programmable gate arrays (FPGAs), etc.

[0227] Those skilled in the art will understand that all or part of the steps of the methods described in the above embodiments can be implemented by a program instructing related hardware. The program can be stored in a computer-readable storage medium, and when executed, it includes one or a combination of the steps of the method embodiments.

[0228] Furthermore, the functional units in the various embodiments of this application can be integrated into a processing module, or each unit can exist physically separately, or two or more units can be integrated into a module. The integrated module can be implemented in hardware or as a software functional module. If the integrated module is implemented as a software functional module and sold or used as an independent product, it can also be stored in a computer-readable storage medium.

[0229] The storage medium mentioned above can be a read-only memory, a disk, or an optical disk, etc. Although embodiments of this application have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting this application. Those skilled in the art can make changes, modifications, substitutions, and variations to the above embodiments within the scope of this application.

Claims

1. A method for generating a wireless network optimization scheme, characterized in that, Performed by an electronic device connected to a terminal device, including the following steps: Collect log data related to the wireless network from terminal devices; The log data is parsed to obtain data reports related to the communication quality of the serving cell and neighboring cells of the terminal device, and event reports related to mobility management and radio link management. The data reports include: sampling time points; at least one of the following for the serving cell at each sampling time point: cell identifier, longitude, latitude, signal received power, signal-to-noise ratio, frequency, MAC layer downlink rate, MAC layer uplink rate, downlink modulation and coding strategy, uplink modulation and coding strategy, block error rate, physical cell identifier, and voice packet sequence number; and at each sampling time point: cell identifier, longitude, latitude, signal received power, signal-to-noise ratio, frequency, MAC layer downlink rate, MAC layer uplink rate, downlink modulation and coding strategy, uplink modulation and coding strategy, block error rate, physical cell identifier, and voice packet sequence number. The event report includes at least one of the following: received power, signal-to-noise ratio, frequency point, and physical cell identifier; the event report includes at least one of the following: the occurrence time of inter-frequency measurement A1 event, the occurrence time of inter-frequency measurement A2 event, the occurrence time of handover A3 event, the occurrence time of handover A5 event based on primary serving cell and neighboring cell thresholds, the occurrence time of inter-system handover B1 event, the occurrence time of handover B2 event based on primary serving cell and inter-system neighboring cell thresholds, the occurrence time of handover failure event, the occurrence time of radio link failure event, the occurrence time of voice call drop event, and the occurrence time of Radio Resource Control (RRC) connection re-establishment failure event. Based on the cell identifiers corresponding to the serving cell and neighboring cells contained in the data report, target data associated with the cell identifiers is obtained from the network optimization platform. The target data includes at least one of the following: cell measurement report, cell performance table, cell parameter configuration table, cell neighbor relationship table, cell operating parameters, cell fault alarm data, and cell minimum drive test data. Based on the preset root cause judgment rules, the data report, the event report, and the target data, the root cause data of the wireless network problem corresponding to the terminal device is determined. The root cause data of the wireless network problem includes: the target root cause of the problem corresponding to the terminal device; and at least one of the following: average received power, average signal-to-noise ratio, transmit power, and physical cell identifier of neighboring cells at multiple sampling time points associated with the target root cause. The root cause data of the wireless network problem is input into a preset wireless network optimization model to obtain a target wireless network optimization solution.

2. The method according to claim 1, characterized in that, Also includes: If the file transfer link between the network optimization platform and the network optimization platform is successfully established, the target file sent by the network optimization platform is received. The target file includes data related to the wireless network optimization model, wherein the wireless network optimization model is generated by the network optimization platform during training. Based on the target file, deploy the wireless network optimization model.

3. The method according to claim 1, characterized in that, The step of inputting the root cause data of the wireless network problem into a preset wireless network optimization model to obtain a target wireless network optimization solution includes: The root cause data of the wireless network problem is input into the wireless network optimization model to obtain multiple initial wireless network optimization schemes; The target wireless network optimization scheme is generated based on the multiple initial wireless network optimization schemes and the cell parameter configuration table in the target data.

4. A method apparatus for generating a wireless network optimization scheme, configured on an electronic device side, comprising: The data acquisition module is used to collect log data related to the wireless network from the terminal device; The parsing module is used to parse the log data to obtain data reports related to the communication quality of the serving cell and neighboring cells of the terminal device, and event reports related to mobility management and radio link management. The data reports include: sampling time points; at least one of the following for the serving cell at each sampling time point: cell identifier, longitude, latitude, signal received power, signal-to-noise ratio, frequency, MAC layer downlink rate, MAC layer uplink rate, downlink modulation and coding strategy, uplink modulation and coding strategy, block error rate, physical cell identifier, and voice packet sequence number; and at each sampling time point, the cell identifier, longitude, latitude, and longitude of the neighboring cells. The event report includes at least one of the following: frequency, signal received power, signal-to-noise ratio, frequency point, and physical cell identifier; the event report includes at least one of the following: the occurrence time of inter-frequency measurement A1 event, the occurrence time of inter-frequency measurement A2 event, the occurrence time of handover A3 event, the occurrence time of handover A5 event based on primary serving cell and neighboring cell thresholds, the occurrence time of inter-system handover B1 event, the occurrence time of handover B2 event based on primary serving cell and inter-system neighboring cell thresholds, the occurrence time of handover failure event, the occurrence time of radio link failure event, the occurrence time of voice call drop event, and the occurrence time of radio resource control (RRC) connection re-establishment failure event. The first acquisition module is used to acquire target data associated with the cell identifier from the network optimization platform based on the cell identifiers corresponding to the serving cell and neighboring cells contained in the data report. The target data includes at least one of the following: cell measurement report, cell performance table, cell parameter configuration table, cell neighbor relationship table, cell operating parameters, cell fault alarm data, and cell minimum drive test data. The determination module is used to determine the root cause data of the wireless network problem corresponding to the terminal device according to the preset root cause judgment rules, the data report, the event report and the target data. The root cause data of the wireless network problem includes: the target root cause of the problem corresponding to the terminal device; and at least one of the following: the average signal received power, the average signal-to-noise ratio, the transmit power and the physical cell identifier of the neighboring cells at multiple sampling time points associated with the target root cause. The second acquisition module is used to input the root cause data of the wireless network problem into a preset wireless network optimization model in order to obtain a target wireless network optimization solution.

5. An electronic device, characterized in that, include: A processor, and a memory communicatively connected to the processor; The memory stores computer-executed instructions; The processor executes computer execution instructions stored in the memory to implement the method as described in any one of claims 1-3.

6. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer-executable instructions, which, when executed by a processor, are used to implement the method as described in any one of claims 1-3.

7. A computer program product, characterized in that, Includes a computer program that, when executed by a processor, implements the method as described in any one of claims 1-3.

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