Methods, devices, electronic equipment, and storage media for determining network configuration parameters

Abstract

This disclosure proposes a method, apparatus, electronic device, and storage medium for determining network setting parameters, relating to the field of communication technology. The specific implementation scheme is as follows: First, the first measurement report (MR) information of each first user equipment (UE) accessing the first network device within a first time period is obtained to determine the first network setting parameters of the first network device within the first time period. Then, based on the location information of each first UE and the cell ID accessed by the UE, the second signal quality parameters of each UE under different second network setting parameters are determined. Finally, the network setting parameters corresponding to the optimal signal quality parameter among the first and second signal quality parameters are determined as the target network setting parameters of the first network device. This improves the efficiency of the method for determining network setting parameters, and since the signal quality parameters corresponding to the target network setting parameters are optimal, it provides conditions for optimizing the number of user equipments and traffic accessing the network.

Description

Technical Field

[0001] This disclosure relates to the field of communication technology, and specifically to a method, apparatus, electronic device, and storage medium for determining network configuration parameters. Background Technology

[0002] In the field of telecommunications, a network user distribution model is constructed by collecting Measurement Reports (MRs) from users operating on the same frequency and standard. This model is then used to optimize network settings, such as the number of base station broadcast beams and the horizontal azimuth angle of each beam. However, network settings determined in this way may affect the number of user devices accessing the network and the amount of data traffic. Summary of the Invention

[0003] This disclosure aims to at least partially address one of the technical problems in the related art.

[0004] The first aspect of this disclosure provides a method for determining network configuration parameters, including:

[0005] Obtain the first measurement report (MR) information of each first user equipment (UE) accessing the first network device within a first time period, wherein the first MR information includes the location information of the first UE, the cell identifier ID accessed by the first UE, and the first signal quality parameters;

[0006] Determine the first network setting parameters of the first network device during the first time period;

[0007] Based on the location information of each first UE and the cell ID accessed by the UE, the second signal quality parameters of each UE under different second network setting parameters are determined;

[0008] The network setting parameters corresponding to the optimal signal quality parameter among the first and second signal quality parameters are determined as the target network setting parameters of the first network device.

[0009] A second aspect of this disclosure provides an apparatus for determining network configuration parameters, comprising:

[0010] The acquisition module is used to acquire the first measurement report (MR) information of each first user equipment (UE) accessing the first network device within a first time period, wherein the first MR information includes the location information of the first UE, the cell identifier ID accessed by the first UE, and the first signal quality parameters;

[0011] The first determining module is used to determine the first network setting parameters of the first network device during the first time period;

[0012] The second determining module is used to determine the second signal quality parameters of each of the first UEs under different second network setting parameters based on the location information of each of the first UEs and the cell ID accessed by the UEs;

[0013] The third determining module is used to determine the network setting parameters corresponding to the optimal signal quality parameter among the first signal quality parameters and the second signal quality parameters as the target network setting parameters of the first network device.

[0014] A third aspect of this disclosure provides a computer device, including: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, it implements the method for determining network setting parameters as proposed in the first aspect of this disclosure.

[0015] A fourth aspect of this disclosure provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements a method for determining network setting parameters as described in a first aspect of this disclosure.

[0016] A fifth aspect of this disclosure provides a computer program product including a computer program that, when executed by a processor, implements a method for determining network setting parameters as described in a first aspect of this disclosure.

[0017] The method, apparatus, computer equipment, and storage medium for determining network configuration parameters provided in this disclosure have the following beneficial effects:

[0018] In this embodiment, the first measurement report (MR) information of each first user equipment (UE) accessing the first network device is first obtained within a first time period to determine the first network setting parameters of the first network device within the first time period. Then, based on the location information of each first UE and the cell ID accessed by the UE, the second signal quality parameters of each UE under different second network setting parameters are determined. Finally, the network setting parameters corresponding to the optimal signal quality parameter among the first and second signal quality parameters are determined as the target network setting parameters of the first network device. Therefore, by determining the target network setting parameters of the first network device based on the signal quality parameters of all UEs accessing the first network device under different network setting parameters, the accuracy of the determined network setting parameters is improved. Furthermore, since the determined target network setting parameters are the parameters that optimize the signal quality of all accessing UEs, conditions are provided for optimizing the number of UEs and traffic accessing the network.

[0019] It should be understood that the description in this section is not intended to identify key or essential features of the embodiments of this disclosure, nor is it intended to limit the scope of this disclosure. Other features of this disclosure will become readily apparent from the following description. Attached Figure Description

[0020] The accompanying drawings are provided to better understand this solution and do not constitute a limitation of this disclosure. Wherein:

[0021] Figure 1 This is a flowchart illustrating a method for determining network setting parameters according to an embodiment of the present disclosure.

[0022] Figure 2 This is a flowchart illustrating a method for determining network setting parameters according to an embodiment of the present disclosure.

[0023] Figure 3 A schematic diagram illustrating network coverage and user distribution according to an embodiment of this disclosure;

[0024] Figure 4 This is a flowchart illustrating a method for determining network setting parameters according to an embodiment of the present disclosure.

[0025] Figure 5 This is a schematic diagram of a device for determining network setting parameters according to an embodiment of the present disclosure;

[0026] Figure 6 A block diagram of an exemplary computer device suitable for implementing embodiments of the present disclosure is shown. Detailed Implementation

[0027] The exemplary embodiments of this disclosure are described below with reference to the accompanying drawings, including various details of the embodiments to aid understanding, and should be considered merely exemplary. Therefore, those skilled in the art will recognize that various changes and modifications can be made to the embodiments described herein without departing from the scope and spirit of this disclosure. Similarly, for clarity and brevity, descriptions of well-known functions and structures are omitted in the following description.

[0028] This disclosure addresses a related technology that constructs a network user distribution model by collecting measurement reports (MR) information reported by users for the same frequency and standard. In other words, network coverage optimization techniques only consider network equipment (such as base stations) and user equipment of the same frequency and standard, without considering base stations and user equipment of different frequencies and standards. Furthermore, interoperability parameters are typically applied in a one-size-fits-all manner without adjustment. Both network coverage optimization and interoperability parameter optimization techniques affect the number of user equipment and traffic connected to the base station.

[0029] This disclosure addresses the aforementioned problems by proposing a method for determining network setting parameters. This method compares the signal quality parameters of each first UE (including UEs with the same frequency and standard, UEs with the same frequency but different standards, and UEs with different frequencies and standards) currently connected to a first network device under different network setting parameters within a first time period. The network setting parameters corresponding to the optimal signal quality parameters are then determined as the target network setting parameters for the first network device. In other words, the determination of network setting parameters considers not only the signal quality parameters of UEs with the same frequency and standard, but also those of UEs with different frequencies and standards. By iteratively optimizing the network setting parameters, the optimal combination of strategy parameters is found. Based on these optimal parameters, the network coverage strategy is adjusted. This not only achieves cross-frequency and cross-standard strategy combination optimization, maximizing the optimization of the number of user devices and traffic connected to base stations in the network or region, but also ensures that network coverage optimization and interoperability parameter optimization are performed simultaneously, improving the efficiency of optimizing the number of user devices and traffic connected to base stations in the network or region.

[0030] The following description, with reference to the accompanying drawings, outlines a method, apparatus, electronic device, and storage medium for determining network configuration parameters according to embodiments of the present disclosure.

[0031] Figure 1 This is a flowchart illustrating a method for determining network setting parameters provided in an embodiment of this disclosure.

[0032] like Figure 1 As shown, the method for determining network configuration parameters may include the following steps:

[0033] Step 101: Obtain the first measurement report (MR) information for each first user equipment (UE) accessing the first network device within the first time period.

[0034] The first MR information includes the location information of the first UE, the cell identifier ID accessed by the first UE, and the first signal quality parameters.

[0035] It should be noted that the first network device is an entity on the network side used to transmit or receive signals, and is used to communicate with user equipment. For example, it can be a base station in the Global System for Mobile Communications (GSMA) or a base station in the Long Term Evolution (LTE) system. This disclosure does not limit it in this respect.

[0036] The first user equipment (UE) is a device with wireless connectivity, such as a mobile phone, computer, mobile internet device, wearable device, etc., and this disclosure does not limit this. In this disclosure, the first UE includes all UEs connected to the first network device, such as UEs with the same frequency and standard, UEs with the same frequency but different standards, and UEs with different frequencies and different standards. Among them, UEs with the same frequency and standard transmit and receive signals of the same frequency and network type, UEs with different frequencies but the same standard transmit and receive signals of different frequencies but the same network type, and UEs with different frequencies and different standards transmit and receive signals of different frequencies and different network types.

[0037] The first time period refers to a working period of the first network device under the first network setting parameters. The length of the first time period can be preset as needed, or it can be set based on historical data. For example, the first time period can be set to 1 hour, 12 hours, 1 week, etc. This disclosure does not limit this.

[0038] The first measurement report (MR) information refers to the MR information measured and reported by the first UE accessing the first network device. The first signal quality parameter is an indicator used to measure signal quality under the first network settings parameters, which may include at least one of the following: Reference Signal Receiving Power (RSRP), Signal to Interference plus Noise Ratio (SINR), and Reference Signal Receiving Quality (RSRQ), etc., which are not limited in this disclosure.

[0039] Step 102: Determine the first network setting parameters of the first network device within the first time period.

[0040] In some possible implementations, network configuration parameters include at least one of the following: number of broadcast beams, horizontal azimuth angle of each broadcast beam, horizontal beamwidth, electrical downtilt angle, vertical beamwidth and power, and interoperability parameters.

[0041] Interoperability parameters are parameters that automatically adjust the network type and signal frequency based on the evaluation of various basic indicators and user perception indicators, without affecting network performance indicators. For example, they can be at least one of the A1 threshold configuration parameters, A2 threshold configuration parameters, B1 threshold configuration parameters, etc. This disclosure does not limit them.

[0042] Step 103: Based on the location information of each first UE and the cell ID accessed by the UE, determine the second signal quality parameters of each UE under different second network setting parameters.

[0043] The second network setting parameter is all possible network setting parameters obtained after adjusting the first network setting parameter.

[0044] The second signal quality parameter is an indicator used to measure the signal quality under the second network setting parameters, and may include at least one of RSRP, SINR, RSRQ, etc., which are not limited in this disclosure.

[0045] In some possible implementations, the network coverage model corresponding to the first network device can be obtained. Then, the location information, cell ID, and each second network setting parameter of each first UE can be input into the network coverage model to obtain the second signal quality parameters of each first UE under each second network setting parameter.

[0046] The network coverage model is a model related to the network coverage parameters of the first network device, the distribution of users accessing the first network device, and the signal quality of the users. It can be used to determine the corresponding signal quality parameters for each UE accessing the first network device under different network settings, different access locations, and different cells. The network coverage model can be preset or pre-generated; this disclosure does not limit its nature.

[0047] In some possible embodiments, the network overlay model may be a data table or a database, and this disclosure does not limit it in this regard.

[0048] In this disclosure, by traversing all possible combinations of second network setting parameters corresponding to the first network device based on a network coverage model, the second signal quality parameters corresponding to each first UE under different second network setting parameters are obtained.

[0049] Step 104: Determine the network setting parameters corresponding to the optimal signal quality parameter among the first signal quality parameters and the second signal quality parameters as the target network setting parameters for the first network device.

[0050] In this disclosure, after obtaining the first signal quality parameter and the second signal quality parameter, they are first compared to obtain the optimal signal quality parameter among all signal quality parameters. Then, the network setting parameter corresponding to the optimal signal quality parameter is determined as the target network setting parameter corresponding to the first network device.

[0051] It should be noted that if there are multiple first signal quality parameters and multiple second signal quality parameters corresponding to each second network setting parameter, then the average value of the first signal quality parameters and the average value of the second signal quality parameters corresponding to each second network setting parameter should be calculated separately, and then the obtained average values ​​should be compared.

[0052] For example, there are two UEs accessing the first network device, UE#0 and UE#1. The first MR information for UE#0 and UE#1 within a first time period (e.g., one week) is obtained. From this, the cell ID and first signal quality parameter RSRP#0 of UE#0, and the cell ID and first signal quality parameter RSRP#1 of UE#1 are obtained. Simultaneously, the first network settings parameters of the first network device within the first time period are obtained. After adjusting the first network settings parameters, two second network settings parameters are generated, namely parameter #0 and parameter #1. After inputting the positions and cell IDs of parameter #0 (parameter #1) and UE#0 (UE#1) into the network coverage model, the second signal quality parameters RSRP#2 and RSRP#3 corresponding to UE#0 under parameter #0 and parameter #1, respectively, and the second signal quality parameters RSRP#4 and RSRP#5 corresponding to UE#1 under parameter #0 and parameter #1, respectively, can be predicted. Then, based on RSRP#0 and RSRP#1, calculations are performed... The average signal quality parameter RSRP#6 under the first network setting parameters, the average signal quality parameter RSRP#7 under parameter #0 calculated based on RSRP#2 and RSRP#4, and the average signal quality parameter RSRP#8 under parameter #1 calculated based on RSRP#3 and RSRP#5 are then compared. It is found that RSRP#7 is greater than RSRP#6 and RSRP#8. Therefore, the second network setting parameter corresponding to parameter #0 of RSRP#7 is determined as the target setting parameter of the first network device.

[0053] In this embodiment, the first measurement report (MR) information of each first user equipment (UE) accessing the first network device is first obtained within a first time period to determine the first network setting parameters of the first network device within the first time period. Then, based on the location information of each first UE and the cell ID accessed by the UE, the second signal quality parameters of each UE under different second network setting parameters are determined. Finally, the network setting parameters corresponding to the optimal signal quality parameter among the first and second signal quality parameters are determined as the target network setting parameters of the first network device. Therefore, by determining the target network setting parameters of the first network device based on the signal quality parameters of all UEs accessing the first network device under different network setting parameters, the accuracy of the determined network setting parameters is improved. Furthermore, since the determined target network setting parameters are the parameters that optimize the signal quality of all accessing UEs, conditions are provided for optimizing the number of UEs and traffic accessing the network.

[0054] Figure 2 This is a flowchart illustrating a method for determining network setting parameters according to an embodiment of the present disclosure.

[0055] like Figure 2 As shown, the method for determining network configuration parameters may include the following steps:

[0056] Step 201: Obtain the first measurement report (MR) information of each first user equipment (UE) accessing the first network device within a first time period, wherein the first MR information includes the location information of the first UE, the cell identifier ID accessed by the first UE, and the first signal quality parameters.

[0057] Step 202: Determine the first network setting parameters of the first network device within the first time period.

[0058] The specific implementation of steps 201 to 202 can be found in the detailed descriptions of other embodiments in this disclosure, and will not be repeated here.

[0059] Step 203: Obtain the network coverage model corresponding to the first network device.

[0060] In this disclosure, the network coverage model corresponding to the first network device can be a theoretical model of network coverage and user distribution generated based on empirical data, laboratory test data, or historical MR information of the first network device, as well as basic theories. For example, the network coverage model can be generated based on the historical MR information of the first network device, combined with the following basic theories: the distance between the UE and the first network device can affect signal quality; a greater distance corresponds to worse signal quality than a closer distance, or lower beam power corresponds to worse signal quality than higher beam power, etc.

[0061] In some possible implementations, the network coverage model corresponding to the first network device can be determined based on the MR information of the second UE that has historically accessed the first network device. It should be noted that the second UE can be multiple UEs.

[0062] In this disclosure, the network coverage model corresponding to the first network device can be generated by obtaining the MR information of the second UE that has historically accessed the first network device, based on the cell ID accessed by each second UE, different network setting parameters, and corresponding signal quality parameters.

[0063] In some possible implementations, the network coverage model corresponding to the first network device can be determined based on the MR information of the third UEs that have historically accessed each second network device. Here, the second network device is the same device as the first network device. It should be noted that the third UE can be multiple UEs.

[0064] In this disclosure, when the second network device is the same as the first network device, it can be assumed that the first network device and the second network device have the same network coverage model. Thus, the network coverage model corresponding to the first network device can be generated by obtaining the MR information of the third UE that has historically accessed the second network device.

[0065] It should be noted that the network coverage model can update the signal quality parameters mapped to the cell ID in the actual measured MR information under different network settings parameters of the UE. If the signal quality parameters are different from the signal quality parameters obtained by actual measurement, the model can be updated and replaced with the signal quality parameters obtained by actual measurement. This allows the network coverage model to be continuously updated, resulting in continuous improvement in the accuracy of the network coverage model.

[0066] Step 204: Optimize the first network setting parameters using an optimization algorithm to obtain multiple second network setting parameters.

[0067] The optimization algorithm can be an ant colony optimization algorithm, a particle swarm optimization algorithm, or a genetic algorithm, etc. This disclosure does not limit it.

[0068] It should be noted that during the process of adjusting the first network setting parameters, multiple parameter combinations may be obtained. Theoretically, the target network setting parameters with the optimal signal quality parameters can be found by traversing all possible parameter combinations. However, since the number of network setting parameter combinations may be too large, traversing all of them is costly and inefficient. Therefore, optimization algorithms can be used to improve the efficiency of finding the target network setting parameters.

[0069] Step 205: Input the location information, cell ID and second network setting parameters of each first UE into the network coverage model to obtain the second signal quality parameters of each first UE under each second network setting parameter.

[0070] It should be noted that after obtaining the cell ID of each first UE and each second network setting parameter, the network coverage model can be input to predict the second signal quality parameters of each UE under each second network setting parameter through laboratory testing or simulation software.

[0071] The following is combined Figure 3 The signal quality of each UE accessing the first network device under different network settings and different cell locations is further explained. Figure 3 This is a schematic diagram illustrating network coverage and user distribution according to an embodiment of this disclosure. Figure 3 As shown in the figure, there are three frequency points: frequency points 1 and 2 are 4G frequency points, and frequency point 3 is a 5G frequency point. Assuming there are only two users in the network, both currently camped on cell A, by having these two users report MR information (same frequency, same standard; different frequency, same standard; different frequency, different standard), we can know the signal quality information of all cells on the three frequency points that these two users can receive under the current network settings of the first network device. As shown in Table 1, assuming a total of two MR report samples are received, corresponding to the two users in the figure.

[0072] Table 1

[0073]

[0074] In Table 1, dBm stands for decibel relative to one milliwatt. Table 1 shows that under the first network settings, MR sample 1 lacks signal quality information for cells 2-3 and IV-VII, and the MR samples lack signal quality information for cells 2-3, II, and V-VII. This indicates that the path loss from these cells to the corresponding users is too large, resulting in poor signal quality.

[0075] Suppose that the electronic downtilt angle in the network settings parameters of cell A and cell 1 in the figure is increased by -4 degrees, and the B1 threshold of all cells is adjusted to make it easier for users to switch to 5G cells, then according to the network coverage model, based on laboratory tests or simulation software simulation, the signal quality information of all cells at the three frequency points that these two users can receive in the network can be predicted, as shown in Table 2.

[0076] Table 2

[0077]

[0078] As shown in Table 2, under the adjusted network settings, MR sample 1 is missing signal quality information corresponding to cells 2-3 and cells IV-VII. The MR sample is missing signal quality information corresponding to cells 2-3, cells II, cells II, and cells V-VII. This indicates that the path loss from these cells to the corresponding users is too large, resulting in poor signal quality.

[0079] Step 206: Determine the network setting parameters corresponding to the optimal signal quality parameter among the first signal quality parameters and the second signal quality parameters as the target network setting parameters for the first network device.

[0080] The specific implementation of step 206 can be found in the detailed descriptions of other embodiments in this disclosure, and will not be repeated here.

[0081] In this embodiment, the first measurement report (MR) information of each first user equipment (UE) accessing the first network device is first obtained within a first time period to determine the first network setting parameters of the first network device within the first time period. Then, the network coverage model corresponding to the first network device is obtained, and the first network setting parameters are optimized using an optimization algorithm to obtain multiple second network setting parameters. Next, the location information, cell ID, and each second network setting parameter of each first UE are input into the network coverage model to obtain the second signal quality parameters of each first UE under each second network setting parameter. Finally, the network setting parameters corresponding to the optimal signal quality parameter among the first and second signal quality parameters are determined as the target network setting parameters of the first network device. Therefore, by using an optimization algorithm to optimize the first network setting parameters to find the network setting parameters corresponding to the optimal signal quality parameters, the efficiency of determining network setting parameters is improved. Furthermore, since the determined target network setting parameters are those that optimize the signal quality of all accessing UEs, conditions are provided for optimizing the number of UEs and traffic accessing the network.

[0082] Figure 4 This is a flowchart illustrating a method for determining network setting parameters according to an embodiment of the present disclosure.

[0083] like Figure 4 As shown, the method for determining network configuration parameters may include the following steps:

[0084] Step 401: Obtain the first measurement report (MR) information of each first user equipment (UE) accessing the first network device within a first time period, wherein the first MR information includes the location information of the first UE, the cell identifier ID accessed by the first UE, and the first signal quality parameters.

[0085] Step 402: Determine the first network setting parameters of the first network device within the first time period.

[0086] Step 403: Based on the location information of each first UE and the cell ID accessed by the UE, determine the second signal quality parameters of each UE under different second network setting parameters.

[0087] Step 404: Determine the network setting parameters corresponding to the optimal signal quality parameter among the first signal quality parameters and the second signal quality parameters as the target network setting parameters for the first network device.

[0088] The specific implementation of steps 401 to 404 can be found in the detailed descriptions of other embodiments in this disclosure, and will not be repeated here.

[0089] Step 405: Obtain the first communication parameters of the first network device in the first time period, wherein the communication parameters are at least one of the following: the number of first UEs accessing the first network device, the total traffic of the first network device, and the signal quality parameters of each first UE in the first time period.

[0090] The first communication parameter is a parameter for measuring the network performance of the first network device under the first network setting parameters. It may include parameters such as connection rate, packet loss rate, latency, jitter and other user-perceived indicators. This disclosure does not limit the parameters.

[0091] Step 406: During the second time period, control the first network device to operate with the target network setting parameters.

[0092] The second time period refers to a working period of the first network device under the target network settings parameters. The length of the second time period can be preset as needed, or it can be set based on historical data. It can be the same as or different from the first time period. For example, the second time period can be set to 1 hour, 12 hours, 1 week, etc. This disclosure does not limit it in this way.

[0093] In this disclosure, after determining the target network setting parameters of the first network device, the first network device can be controlled to operate under the target network setting parameters during the second time period.

[0094] In this disclosure, after the first network device operates for a first period of time under the first network setting parameters, it can obtain the number of first UEs accessing the first network device and the total traffic of the first network device. After determining the target network setting parameters of the first network device, it can obtain the signal quality parameters of each first UE under the target network setting parameters.

[0095] Step 407: Obtain the second communication parameters of the first network device during the second time period.

[0096] The second communication parameter is a parameter for measuring the network performance of the first network device under the target network setting parameters. It may include parameters such as connection rate, packet loss rate, latency, jitter and other user-perceived indicators. This disclosure does not limit this parameter.

[0097] In this disclosure, after the first network device operates under the target network setting parameters for a second period of time, the second communication parameters of the first network device during the second period of time can be obtained.

[0098] Step 408: Determine the adjustment mode of the network setting parameters of the first network device based on the second communication parameters and the first communication parameters.

[0099] In this disclosure, the network performance change trend of the first network device can be determined based on the second communication parameters and the first communication parameters, thereby determining the adjustment parameters of the network settings parameters of the first network device.

[0100] In some possible implementations, when the network performance change trend is the primary trend, the adjustment mode for the network setting parameters of the first network device is determined to be the rollback mode.

[0101] The first trend refers to the network performance of the first network device under the target network settings parameters, which, relative to the network performance under the first network settings parameters, shows a trend of deterioration and exceeds a preset threshold. The preset threshold is the critical network performance level at which the adjustment mode of the first network device's network settings parameters is determined to be fallback mode.

[0102] The rollback mode is a mode that rolls back the network settings parameters of the first network device from the target network settings parameters to the first network settings parameters.

[0103] For example, increasing the horizontal beamwidth in the first network setting parameter transforms it into the target network setting parameter. Based on the second and first communication parameters, it is determined that the network performance of the first network device deteriorates and exceeds a preset threshold after adjusting the network setting parameters. Therefore, it can be determined that the adjustment mode of the first network device's network setting parameters is a fallback mode. In fallback mode, the horizontal beamwidth in the target network setting parameter of the first network device can be reduced, reverting to the first network setting parameter.

[0104] In some possible implementations, when the network performance change trend is the second trend, the adjustment mode of the network setting parameters of the first network device is determined to be the continuous update mode, and the update direction of the network setting parameters is the same as the update direction from the first network setting parameters to the target network setting parameters.

[0105] The second trend is that the network performance of the first network device under the target network setting parameters shows an optimization trend compared to the network performance under the first network setting parameters.

[0106] The "continued update mode" is a mode in which the target network setting parameters of the first network device are continuously optimized and updated along the update direction from the first network setting parameters to the target network setting parameters.

[0107] For example, increasing the horizontal beamwidth in the first network setting parameter becomes the target network setting parameter. Based on the second and first communication parameters, it is determined that the network performance of the first network device shows an optimization trend after adjusting the network setting parameters. Therefore, it can be determined that the adjustment mode for the network setting parameters of the first network device is the continuous update mode. In the continuous update mode, the target network setting parameters of the first network device can be optimized and updated along the update direction of continuously increasing the horizontal beamwidth.

[0108] Step 409: Update the network settings parameters of the first network device based on the adjustment mode.

[0109] In this disclosure, if the adjustment mode is rollback mode, the network settings parameters of the first network device are rolled back to the network settings parameters before the adjustment. If the adjustment mode is continue update mode, the network settings parameters of the first network device are continued to be optimized and updated along the update direction from the first network settings parameters to the target network settings parameters.

[0110] In this embodiment, firstly, the first measurement report (MR) information of each first user equipment (UE) accessing the first network device within a first time period is obtained, and the first network setting parameters of the first network device within the first time period are determined. Then, based on the location information of each first UE and the cell ID accessed by the UE, the second signal quality parameters of each UE under different second network setting parameters are determined. The network setting parameters corresponding to the optimal signal quality parameter among the first and second signal quality parameters are determined as the target network setting parameters of the first network device. Subsequently, the first communication parameters of the first network device within the first time period are obtained, and during the second time period, the first network device is controlled to operate with the target network setting parameters, and the second communication parameters of the first network device within the second time period are obtained. Finally, based on the second and first communication parameters, the adjustment mode of the network setting parameters of the first network device is determined, and the network setting parameters of the first network device are updated based on the adjustment mode. Thus, by comparing the network performance before and after the adjustment of the network setting parameters, the adjustment mode of the network setting parameters is determined, further improving the efficiency of determining the network setting parameters. Furthermore, since the determined target network setting parameters are the parameters that optimize the signal quality of all accessing UEs, conditions are provided for optimizing the number of UEs and traffic accessing the network.

[0111] To implement the above embodiments, this disclosure also proposes an apparatus for determining network setting parameters.

[0112] Figure 5 This is a schematic diagram of the apparatus for determining network setting parameters provided in an embodiment of the present disclosure.

[0113] like Figure 5 As shown, the device 500 for determining network setting parameters includes: an acquisition module 501, a first determination module 502, a second determination module 503, and a third determination module 504.

[0114] The acquisition module 501 is used to acquire the first measurement report (MR) information of each first user equipment (UE) accessing the first network device within a first time period, wherein the first MR information includes the location information of the first UE, the cell identifier ID accessed by the first UE, and the first signal quality parameters;

[0115] The first determining module 502 is used to determine the first network setting parameters of the first network device in the first time period;

[0116] The second determining module 503 is used to determine the second signal quality parameters of each UE under different second network setting parameters based on the location information of each first UE and the cell ID accessed by the UE.

[0117] The third determining module 504 is used to determine the network setting parameters corresponding to the optimal signal quality parameters among the first signal quality parameters and the second signal quality parameters as the target network setting parameters of the first network device.

[0118] In one possible implementation of this disclosure, the second determining module 503 is used for:

[0119] Obtain the network coverage model corresponding to the first network device;

[0120] The location information, cell ID, and second network setting parameters of each first UE are input into the network coverage model to obtain the second signal quality parameters of each first UE under each second network setting parameter.

[0121] In one possible implementation of this disclosure, the second determining module 503 is used for:

[0122] Based on the MR information of the second UE that has historically accessed the first network device, determine the network coverage model corresponding to the first network device; or...

[0123] Based on the MR information of the third UE that has historically accessed each second network device, the network coverage model corresponding to the first network device is determined, wherein the second network device is the same device as the first network device.

[0124] In one possible implementation of this disclosure, the first determining module 502 is used for:

[0125] An optimization algorithm is used to optimize the first network settings parameters in order to obtain multiple second network settings parameters.

[0126] In one possible implementation of this disclosure, the third determining module 504 is used for:

[0127] The first communication parameters of the first network device during the first time period are obtained, wherein the communication parameters are at least one of the following: the number of first UEs accessing the first network device, the total traffic of the first network device, and the signal quality parameters of each first UE during the first time period;

[0128] During the second time period, the first network device is controlled to operate with the target network settings parameters;

[0129] Obtain the second communication parameters of the first network device during the second time period;

[0130] Based on the second communication parameters and the first communication parameters, determine the adjustment mode of the network setting parameters of the first network device;

[0131] Based on the adjustment mode, the network settings parameters of the first network device are updated.

[0132] In one possible implementation of this disclosure, the third determining module 504 is used for:

[0133] Based on the second communication parameters and the first communication parameters, determine the network performance change trend of the first network device;

[0134] When the network performance change trend is the primary trend, the adjustment mode of the network setting parameters of the first network device is determined to be the rollback mode;

[0135] When the network performance change trend is the second trend, the adjustment mode of the network setting parameters of the first network device is determined to be the continuous update mode, and the update direction of the network setting parameters is the same as the update direction from the first network setting parameters to the target network setting parameters.

[0136] In one possible implementation of this disclosure, the network configuration parameters include at least one of the following: the number of broadcast beams, the horizontal azimuth angle of each broadcast beam, the horizontal beamwidth, the electrical downtilt angle, the vertical beamwidth and power, and interoperability parameters.

[0137] The functions and specific implementation principles of the modules described in this embodiment can be found in the above method embodiments, and will not be repeated here.

[0138] In this embodiment, the first measurement report (MR) information of each first user equipment (UE) accessing the first network device is first obtained within a first time period to determine the first network setting parameters of the first network device within the first time period. Then, based on the location information of each first UE and the cell ID accessed by the UE, the second signal quality parameters of each UE under different second network setting parameters are determined. Finally, the network setting parameters corresponding to the optimal signal quality parameter among the first and second signal quality parameters are determined as the target network setting parameters of the first network device. Therefore, by determining the target network setting parameters of the first network device based on the signal quality parameters of all UEs accessing the first network device under different network setting parameters, the accuracy of the determined network setting parameters is improved. Furthermore, since the determined target network setting parameters are the parameters that optimize the signal quality of all accessing UEs, conditions are provided for optimizing the number of UEs and traffic accessing the network.

[0139] According to embodiments of this disclosure, this disclosure also provides an electronic device, a readable storage medium, and a computer program product.

[0140] Figure 6 A schematic block diagram of an example electronic device 600 that can be used to implement embodiments of the present disclosure is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device may also represent various forms of mobile devices, such as personal digital processors, cellular phones, smartphones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely illustrative and are not intended to limit the implementation of the present disclosure described and / or claimed herein.

[0141] like Figure 6 As shown, device 600 includes a computing unit 601, which can perform various appropriate actions and processes based on a computer program stored in read-only memory (ROM) 602 or a computer program loaded from storage unit 608 into random access memory (RAM) 603. RAM 603 may also store various programs and data required for the operation of device 600. The computing unit 601, ROM 602, and RAM 603 are interconnected via bus 604. Input / output (I / O) interface 605 is also connected to bus 604.

[0142] Multiple components in device 600 are connected to I / O interface 605, including: input unit 606, such as keyboard, mouse, etc.; output unit 607, such as various types of monitors, speakers, etc.; storage unit 608, such as disk, optical disk, etc.; and communication unit 609, such as network card, modem, wireless transceiver, etc. Communication unit 609 allows device 600 to exchange information / data with other devices through computer networks such as the Internet and / or various telecommunications networks.

[0143] The computing unit 601 can be a variety of general-purpose and / or special-purpose processing components with processing and computing capabilities. Some examples of the computing unit 601 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various special-purpose artificial intelligence (AI) computing chips, various computing units running machine learning model algorithms, a digital signal processor (DSP), and any suitable processor, controller, microcontroller, etc. The computing unit 601 performs the various methods and processes described above, such as the method of determining network setting parameters. For example, in some embodiments, the method of determining network setting parameters may be implemented as a computer software program tangibly contained in a machine-readable medium, such as storage unit 608. In some embodiments, part or all of the computer program may be loaded and / or installed on device 600 via ROM 602 and / or communication unit 609. When the computer program is loaded into RAM 603 and executed by the computing unit 601, one or more steps of the method of determining network setting parameters described above may be performed. Alternatively, in other embodiments, the computing unit 601 may be configured to perform the method of determining network setting parameters by any other suitable means (e.g., by means of firmware).

[0144] Various embodiments of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field-programmable gate arrays (FPGAs), application-specific integrated circuits (ASICs), application-specific standard products (ASSPs), systems-on-a-chip (SoCs), payload-programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments may include implementations in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which may be a dedicated or general-purpose programmable processor, capable of receiving data and instructions from a storage system, at least one input device, and at least one output device, and transmitting data and instructions to the storage system, the at least one input device, and the at least one output device.

[0145] The program code used to implement the methods of this disclosure may be written in any combination of one or more programming languages. This program code may be provided to a processor or controller of a general-purpose computer, special-purpose computer, or other programmable data processing apparatus, such that when executed by the processor or controller, the program code causes the functions / operations specified in the flowcharts and / or block diagrams to be implemented. The program code may be executed entirely on a machine, partially on a machine, as a standalone software package partially on a machine and partially on a remote machine, or entirely on a remote machine or server.

[0146] In the context of this disclosure, a machine-readable medium can be a tangible medium that may contain or store a program for use by or in conjunction with an instruction execution system, apparatus, or device. A machine-readable medium can be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium can be, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination of the foregoing. More specific examples of machine-readable storage media include electrical connections based on one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination of the foregoing.

[0147] To provide interaction with a user, the systems and techniques described herein can be implemented on a computer having: a display device for displaying information to the user (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor); and a keyboard and pointing device (e.g., a mouse or trackball) through which the user provides input to the computer. Other types of devices can also be used to provide interaction with the user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including sound input, voice input, or tactile input).

[0148] The systems and technologies described herein can be implemented in computing systems that include backend components (e.g., as data servers), or computing systems that include middleware components (e.g., application servers), or computing systems that include frontend components (e.g., user computers with graphical user interfaces or web browsers through which users can interact with implementations of the systems and technologies described herein), or any combination of such backend, middleware, or frontend components. The components of the system can be interconnected via digital data communication of any form or medium (e.g., communication networks). Examples of communication networks include local area networks (LANs), wide area networks (WANs), the Internet, and blockchain networks.

[0149] Computer systems can include clients and servers. Clients and servers are generally geographically separated and typically interact via communication networks. The client-server relationship is created by computer programs running on the respective computers and having a client-server relationship with each other. A server can be a cloud server, also known as a cloud computing server or cloud host, a hosting product within the cloud computing service ecosystem, addressing the shortcomings of traditional physical hosts and VPS (Virtual Private Server, or simply "VPS") services, such as high management difficulty and weak business scalability. Servers can also be servers for distributed systems or servers incorporating blockchain technology.

[0150] In this embodiment, the first measurement report (MR) information of each first user equipment (UE) accessing the first network device is first obtained within a first time period to determine the first network setting parameters of the first network device within the first time period. Then, based on the location information of each first UE and the cell ID accessed by the UE, the second signal quality parameters of each UE under different second network setting parameters are determined. Finally, the network setting parameters corresponding to the optimal signal quality parameter among the first and second signal quality parameters are determined as the target network setting parameters of the first network device. Therefore, by determining the target network setting parameters of the first network device based on the signal quality parameters of all UEs accessing the first network device under different network setting parameters, the accuracy of the determined network setting parameters is improved. Furthermore, since the determined target network setting parameters are the parameters that optimize the signal quality of all accessing UEs, conditions are provided for optimizing the number of UEs and traffic accessing the network.

[0151] It should be understood that the various forms of processes shown above can be used to rearrange, add, or delete steps. For example, the steps described in this disclosure can be executed in parallel, sequentially, or in different orders, as long as the desired result of the technical solution disclosed in this disclosure can be achieved, and this is not limited herein.

[0152] 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 indicated technical features. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one of that feature. In the description of this disclosure, "a plurality of" means at least two, such as two, three, etc., unless otherwise explicitly specified. In the description of this disclosure, the words "if" and "suppose" as used may be interpreted as "when," "when," "in response to determination," or "in the circumstances."

[0153] The specific embodiments described above do not constitute a limitation on the scope of protection of this disclosure. Those skilled in the art should understand that various modifications, combinations, sub-combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this disclosure should be included within the scope of protection of this disclosure.

Claims

1. A method for determining network configuration parameters, characterized in that, include: Obtain first measurement report (MR) information for each first user equipment (UE) accessing the first network device within a first time period. The first MR information includes the location information of the first UE, the cell identifier ID accessed by the first UE, and first signal quality parameters. The first UE includes at least one of the following: same-frequency same-system UE, same-frequency different-system UE, and different-frequency different-system UE. Determine the first network setting parameters of the first network device during the first time period; Obtain the network coverage model corresponding to the first network device; The location information of each first UE, the cell ID, and each second network setting parameter are input into the network coverage model to obtain the second signal quality parameter of each first UE under each second network setting parameter. The network setting parameters corresponding to the optimal signal quality parameter among the first signal quality parameters and the second signal quality parameters are determined as the target network setting parameters of the first network device. The first communication parameters of the first network device during the first time period are obtained, wherein the communication parameters are at least one of the following: the number of first UEs accessing the first network device, the total traffic of the first network device, and the signal quality parameters of each first UE during the first time period. During the second time period, the first network device is controlled to operate with the target network setting parameters; Obtain the second communication parameters of the first network device during the second time period; Based on the second communication parameters and the first communication parameters, determine the adjustment mode of the network setting parameters of the first network device; Based on the adjustment mode, the network setting parameters of the first network device are updated.

2. The method as described in claim 1, characterized in that, The step of obtaining the network coverage model corresponding to the first network device includes: Based on the MR information of the second UE that historically accessed the first network device, determine the network coverage model corresponding to the first network device; or... Based on the MR information of the third UE that has historically accessed the second network device, the network coverage model corresponding to the first network device is determined, wherein the second network device is the same device as the first network device.

3. The method as described in claim 1, characterized in that, After determining the first network setting parameters of the first network device during the first time period, the method further includes: An optimization algorithm is used to optimize the first network setting parameters to obtain multiple second network setting parameters.

4. The method as described in claim 1, characterized in that, The step of determining the adjustment mode of the network setting parameters of the first network device based on the second communication parameters and the first communication parameters includes: Based on the second communication parameters and the first communication parameters, determine the network performance change trend of the first network device; If the network performance change trend is the first trend, the adjustment mode of the network setting parameters of the first network device is determined to be the rollback mode. When the network performance change trend is the second trend, the adjustment mode of the network setting parameters of the first network device is determined to be the continuous update mode, and the update direction of the network setting parameters is the same as the update direction from the first network setting parameters to the target network setting parameters.

5. The method according to any one of claims 1-4, characterized in that, The network configuration parameters include at least one of the following: number of broadcast beams, horizontal azimuth angle of each broadcast beam, horizontal beamwidth, electrical downtilt angle, vertical beamwidth and power, and interoperability parameters.

6. An apparatus for determining network configuration parameters, comprising: The acquisition module is used to acquire the first measurement report (MR) information of each first user equipment (UE) accessing the first network device within a first time period. The first MR information includes the location information of the first UE, the cell identifier ID accessed by the first UE, and the first signal quality parameters. The first UE includes at least one of the following: same-frequency same-system UE, same-frequency different-system UE, and different-frequency different-system UE. The first determining module is used to determine the first network setting parameters of the first network device during the first time period; The second determining module is used to obtain the network coverage model corresponding to the first network device; input the location information of each first UE, the cell ID and each second network setting parameter into the network coverage model to obtain the second signal quality parameter of each first UE under each second network setting parameter; The third determining module is configured to: determine the network setting parameter corresponding to the optimal signal quality parameter among the first signal quality parameter and the second signal quality parameter as the target network setting parameter of the first network device; acquire the first communication parameter of the first network device during the first time period, wherein the communication parameter is at least one of the following: the number of first UEs accessing the first network device, the total traffic of the first network device, and the signal quality parameter of each first UE during the first time period; control the first network device to operate with the target network setting parameter during the second time period; acquire the second communication parameter of the first network device during the second time period; determine the adjustment mode of the network setting parameter of the first network device based on the second communication parameter and the first communication parameter; and update the network setting parameter of the first network device based on the adjustment mode.

7. An electronic device, characterized in that, include: At least one processor; And, a memory communicatively connected to the at least one processor; The memory stores instructions that can be executed by the at least one processor to enable the at least one processor to perform the method of any one of claims 1-5.

8. A non-transitory computer-readable storage medium storing computer instructions, wherein, The computer instructions are used to cause the computer to perform the method according to any one of claims 1-5.

9. A computer program product comprising a computer program that, when executed by a processor, implements the method according to any one of claims 1-5.

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