Parameter correction method and device for wireless network access point

Abstract

The invention discloses a parameter correction method and device for a wireless network access point, and the method comprises the steps: obtaining the position information of terminal equipment, and enabling the position information of the terminal equipment to be obtained through the measurement of the wireless network access point; according to the position information of the terminal equipment, analog signal quality of the position where the terminal equipment is located is determined, and the analog signal quality is obtained through calculation according to an initial network transmission model; determining the actual measurement signal quality measured by the terminal equipment; adjusting parameters in the initial network transmission model according to the analog signal quality and the actual measurement signal quality to obtain an adjusted network transmission model; and correcting the parameters of the wireless network access point according to simulation parameters obtained by adjusting simulation of the network transmission model. According to the method, the optimization effect of the wireless network can be improved, the network performance is improved, the intervention of drive test equipment is not needed, and the positioning complexity can be reduced.

Description

Technical Field

[0001] The embodiments of the present application relate to the field of wireless communications, and in particular to a method and device for modifying parameters of a wireless network access point. Background Art

[0002] At present, in the process of optimizing wireless networks, two solutions are generally used to obtain the coverage of wireless networks for optimizing wireless networks. The first solution is to perform actual measurements through road test equipment after network deployment, so as to modify the parameters of wireless network access points. In this solution, the road test equipment can perform mobile measurements in the network deployment area, and optimize the network according to the location of the road test equipment and the network coverage at the location; when the network environment changes, the road test equipment needs to be re-measured, so the investment cost of this solution is large, and each network optimization adjustment takes a long time. The second solution is to continuously monitor the network by deploying telemetry equipment in the network, and modify the parameters of the wireless network access point according to the monitoring results. In the second solution, it is necessary to install fixed telemetry equipment at a specific location of the deployment scene, and record the location of the telemetry equipment. The real-time network coverage at the location of the telemetry equipment can be obtained through the telemetry equipment, so as to optimize the network according to the network coverage fed back by the telemetry equipment. This solution can provide real-time and long-term feedback on the real network coverage, but this solution can only feedback the situation at the location of the telemetry equipment, and the parameter adjustment result of the wireless network access point is not ideal. Summary of the invention

[0003] The embodiment of the present application provides a parameter correction method for a wireless network access point, which is used to correct the parameters of the wireless network access point to improve the optimization effect of the wireless network access point and enhance network performance, and does not require the intervention of a drive test device or a remote sensing device, thereby reducing the complexity of positioning.

[0004] In a first aspect, an embodiment of the present application provides a parameter correction method for a wireless network access point, including: obtaining location information of a terminal device, wherein the location information of the terminal device is obtained by measuring the wireless network access point; determining a simulated signal quality at a location of the terminal device based on the location information of the terminal device, wherein the simulated signal quality is calculated based on an initial network transmission model; determining an actual measured signal quality measured by the terminal device; adjusting parameters in the initial network transmission model based on the simulated signal quality and the actual measured signal quality to obtain an adjusted network transmission model; and correcting parameters of the wireless network access point based on simulation parameters obtained by simulating the adjusted network transmission model.

[0005] According to this method, by locating the terminal device through the wireless network access point, the location of the terminal device can be known without prior location recording, thereby improving the positioning accuracy of the terminal device. Furthermore, the actual measurement signal quality measured by the terminal device can be determined, and the simulated signal quality at the location information of the terminal device can be obtained. The parameters in the initial network transmission model are adjusted based on the simulated signal quality and the actual measurement signal quality measured by the terminal device to obtain an adjusted network transmission model, which can make the adjusted network transmission model closer to the real scene, and the simulation parameters obtained by simulating the adjusted network transmission model are also close to the actual coverage value at the location. Therefore, by correcting the parameters of the AP according to the simulation parameters obtained by simulating the adjusted network transmission model, the optimization effect of the wireless network can be improved, and the network performance can be improved. In addition, the above optimization process does not require the intervention of the road test equipment, which can reduce the cost and complexity of the solution.

[0006] In one possible design, the simulation parameters obtained by adjusting the network transmission model simulation include: a simulated signal quality obtained by adjusting the network transmission model simulation; or a simulated signal-to-noise ratio obtained by adjusting the network transmission model simulation.

[0007] Based on this design, the parameters of the wireless network access point can be corrected according to the simulated signal quality or simulated signal-to-noise ratio obtained by adjusting the network transmission model simulation, thereby achieving flexible selection of multiple parameter correction schemes.

[0008] In one possible design, the location information of the terminal device is obtained by measuring the wireless network access point, including: the wireless network access point measures the arrival angle of the terminal device, and determines the location information of the terminal device based on the arrival angle; or, the wireless network access point measures the received signal strength indication RSSI of the terminal device, and determines the location information of the terminal device based on the RSSI.

[0009] According to this design, the location information of the terminal device can be determined based on the arrival angle between the wireless network access point and the terminal device or the RSSI of the terminal device to improve the accuracy of determining the location of the terminal device.

[0010] In one possible design, the parameters in the initial network transmission model are adjusted according to the simulated signal quality and the actual measured signal quality to obtain the adjusted network transmission model, including: according to the difference between the simulated signal quality and the actual measured signal quality, the parameters in the initial network transmission model are adjusted so that the difference between the simulated signal quality obtained according to the adjusted network transmission model and the actual measured signal quality is less than a first threshold.

[0011] According to the design, the parameters in the initial network transmission model are adjusted according to the difference between the simulated signal quality and the actual measured signal quality to obtain an adjusted network transmission model, so that the deviation between the simulated value and the actual measured value of the adjusted network transmission model is less than a first threshold, that is, the simulation parameters obtained by simulating the adjusted network transmission model are also close to the actual coverage values ​​at the location, thereby improving the optimization effect of the wireless network.

[0012] In one possible design, the parameters of the wireless network access point are corrected according to the simulation parameters obtained by simulating the adjusted network transmission model, including: correcting the parameters of the target wireless network access point according to the difference between the simulation parameters of the adjusted network transmission model at the target location and the preset values ​​of the target location.

[0013] According to this design, the parameters of the target wireless network access point can be corrected according to the difference between the simulation parameters of the adjusted network transmission model at the target location and the preset values ​​of the target location, which can further improve the optimization effect of the wireless network.

[0014] In one possible design, the simulation parameters obtained by simulating the adjusted network transmission model include a simulated signal-to-noise ratio obtained by simulating the adjusted network transmission model; and correcting the parameters of the wireless network access point according to the simulation parameters obtained by simulating the adjusted network transmission model includes: correcting the parameters of the wireless network access point according to a difference between a simulated signal-to-noise ratio of the adjusted network transmission model at the location of the terminal device and a measured signal-to-noise ratio at the location of the terminal device.

[0015] According to the design, based on the difference between the simulated signal-to-noise ratio of the adjusted network transmission model at the location of the terminal device and the measured signal-to-noise ratio at the location of the terminal device, the parameters of the wireless network access point are corrected through the difference, the parameter correction efficiency is improved, and the optimization effect of the wireless network can be further improved.

[0016] In one possible design, the measured signal-to-noise ratio of the location of the terminal device includes: a signal-to-noise ratio determined based on channel state information between the terminal device and the wireless network access point and the actual measured signal quality.

[0017] According to the design, the channel measurement value between the terminal device and the wireless network access point is introduced when determining the measured signal-to-noise ratio, so that the determination result of the measured signal-to-noise ratio can be more in line with the MIMO scenario, thereby improving the network optimization performance in the MIMO scenario.

[0018] In a second aspect, the present application provides a parameter modification device for a wireless network access point, the device comprising:

[0019] An acquisition module is used to acquire location information of a terminal device, the location information of the terminal device being obtained by measuring a wireless network access point; a processing module is used to determine the quality of a simulated signal at the location of the terminal device based on the location information of the terminal device, the simulated signal quality being calculated based on an initial network transmission model; the processing module is also used to determine the actual measured signal quality obtained by measurement; the processing module is also used to adjust parameters in the initial network transmission model based on the simulated signal quality and the actual measured signal quality to obtain an adjusted network transmission model; the processing module is also used to correct the parameters of the wireless network access point based on simulation parameters obtained by simulating the adjusted network transmission model.

[0020] In a possible design, the processing module is specifically used to: obtain a simulated signal quality based on the simulation of the adjusted network transmission model; or obtain a simulated signal-to-noise ratio based on the simulation of the adjusted network transmission model.

[0021] In a possible design, the acquisition module is specifically used to: measure the arrival angle of the terminal device, and determine the location information of the terminal device based on the arrival angle; or measure the RSSI of the terminal device, and determine the location information of the terminal device based on the RSSI.

[0022] In one possible design, the processing module is specifically used to: adjust the parameters in the initial network transmission model according to the difference between the simulated signal quality and the actual measured signal quality, so that the difference between the simulated signal quality obtained according to the adjusted network transmission model and the actual measured signal quality is less than a first threshold.

[0023] In a possible design, the processing module is specifically used to correct the parameters of the target wireless network access point according to the difference between the simulation parameters of the adjusted network transmission model at the target location and the preset values ​​of the target location.

[0024] In one possible design, the simulation parameters obtained by simulating the adjusted network transmission model include a simulated signal-to-noise ratio obtained by simulating the adjusted network transmission model; the processing module is specifically used to correct the parameters of the wireless network access point according to the difference between the simulated signal-to-noise ratio of the adjusted network transmission model at the location of the terminal device and the measured signal-to-noise ratio at the location of the terminal device.

[0025] In one possible design, the processing module is specifically used to determine the signal-to-noise ratio based on channel state information between the terminal device and the wireless network access point and the actual measured signal quality.

[0026] In a third aspect, the present application provides an electronic device or a chip or a chip system, including:

[0027] A memory for storing program instructions;

[0028] The processor is used to call the program instructions stored in the memory, and execute the steps included in any one of the methods in the first aspect according to the obtained program instructions.

[0029] In a fourth aspect, the present application provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, wherein the computer program includes program instructions, and when the program instructions are executed by a computer, the computer executes any one of the methods described in the first aspect.

[0030] The beneficial effects of the above second aspect, third aspect, fourth aspect and any possible design thereof can be found in the introduction of the corresponding method or design of the first aspect. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0032] Figure 1 is a schematic diagram of a wireless network coverage area;

[0033] Figure 2 A schematic diagram of a flow chart of a method for modifying parameters of a wireless network access point provided in an embodiment of the present application;

[0034] Figure 3 A schematic diagram of a scenario for determining the distance between a terminal device and a wireless network access point provided in an embodiment of the present application;

[0035] Figure 4 A schematic diagram of a transmission path and obstructions of a wireless network access point provided in an embodiment of the present application;

[0036] Figure 5 A schematic diagram of a device structure provided in an embodiment of the present application;

[0037] Figure 6 A schematic diagram of another device structure provided in an embodiment of the present application. DETAILED DESCRIPTION

[0038] In order to make the purpose, technical solutions and advantages of the present application clearer, the present application will be described in detail below in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present application. It should be understood that the specific operating methods in the method embodiments described below can also be applied to device embodiments or system embodiments.

[0039] The terms "first" and "second" in the specification and claims of the present application and the above-mentioned drawings are used to distinguish different objects, rather than to describe a specific order. In addition, the term "comprising" and any of their variations are intended to cover non-exclusive protection. For example, a process, method, system, product or device comprising a series of steps or units is not limited to the listed steps or units, but optionally also includes steps or units that are not listed, or optionally also includes other steps or units inherent to these processes, methods, products or devices. "Multiple" in the present application can mean at least two, for example, two, three or more, and the embodiments of the present application are not limited.

[0040] In the technical solution of this application, the collection, dissemination, and use of data are in compliance with the requirements of relevant national laws and regulations.

[0041] To facilitate understanding, the technical background of the embodiments of the present application is first introduced in detail below.

[0042] The present application can be applied in a wireless network scenario with one or more wireless network access points (AP), for example, the wireless network scenario is a wireless local area network. Figure 1 As shown, the wireless network scenario may also include one or more terminal devices (English: station, abbreviated as STA). In addition, the wireless network scenario may also include an access controller (English: access control, abbreviated as AC). Among them, if there are multiple APs in the wireless network scenario, the multiple APs may include multiple co-frequency APs. Among them, co-frequency APs refer to these APs working at the same frequency, and the interference between co-frequency APs is large; in addition, this application does not exclude the inclusion of multiple non-co-frequency APs in the wireless network scenario.

[0043] The AP in this application can be used to provide wireless network access functions and communicate with STAs through wireless networks. In addition, the STA in this application can access the wireless network provided by the AP and communicate through the wireless network. STAs include, for example, mobile phones, tablet computers, personal computers and other communication devices that support wireless network connections. ACs can be used to manage APs, such as configuring APs or managing wireless networks.

[0044] It can be understood that the communication process in the present application includes but is not limited to the reception and / or transmission of signals, data, and information.

[0045] There are many reasons for the degradation of wireless network performance, such as mutual interference between multiple APs using the same frequency band, the impact of obstacles in space on the transmission signal, etc. Therefore, there is a need to optimize the wireless network, for example, by optimizing the network parameters of the AP, so that the local or global network performance is optimized. At present, the objects usually optimized include one or more of the operating frequency, bandwidth and transmission power of the AP. In addition, higher-order optimization involves the optimization of parameters such as the number of multiple input multiple output (MIMO) streams of the AP, the back-off power at different speeds, the space division multiplexing configuration or the resource block (RU) spectrum utilization configuration.

[0046] At present, in the process of optimizing wireless networks, two solutions are generally used to obtain the coverage of wireless networks for optimizing wireless networks. The first solution is to perform actual measurements through road test equipment after network deployment, so as to modify the parameters of wireless network access points. In this solution, the road test equipment can perform mobile measurements in the network deployment area, and optimize the network according to the location of the road test equipment and the network coverage at the location; when the network environment changes, the road test equipment needs to be re-measured, so the investment cost of this solution is large, and each network optimization adjustment takes a long time. The second solution is to continuously monitor the network by deploying telemetry equipment in the network, and modify the parameters of the wireless network access point according to the monitoring results. In the second solution, it is necessary to install fixed telemetry equipment at a specific location of the deployment scene, and record the location of the telemetry equipment. The real-time network coverage at the location of the telemetry equipment can be obtained through the telemetry equipment, so as to optimize the network according to the network coverage fed back by the telemetry equipment. This solution can provide real-time and long-term feedback on the real network coverage, but this solution can only feedback the situation at the location of the telemetry equipment, and the parameter adjustment result of the wireless network access point is not ideal.

[0047] Therefore, the above-mentioned current network optimization schemes do not have an ideal effect on optimizing the network parameters of the AP, resulting in the performance of the wireless network still needing to be optimized.

[0048] In order to improve the optimization effect of network parameters of multiple APs in a wireless network scenario, the present application provides a parameter correction method for a wireless network access point. In this method, the location information of the STA can be obtained through the measurement of the AP. Among them, the positioning process of the STA through the AP does not require the intervention of the road test equipment, which can reduce the positioning complexity and improve the positioning accuracy of the STA. Furthermore, the actual measurement signal quality measured by the terminal device can be determined, and the simulated signal quality obtained according to the location information of the terminal device can be used to adjust the parameters in the initial network transmission model based on the simulated signal quality and the actual measurement signal quality measured by the terminal device to obtain an adjusted network transmission model, which can make the adjusted network transmission model closer to the real scene. Therefore, by correcting the parameters of the AP according to the simulation parameters obtained by simulating the adjusted network transmission model, the optimization effect of the wireless network can be improved and the network performance can be improved. In the present application, the signal quality can be represented by power and / or signal-to-noise ratio.

[0049] Combine the following Figure 2 The process shown in the figure illustrates the implementation of the method. The execution subject of the method may be an access controller. It can be understood that Figure 2 In the description, the terminal device is STA, the wireless network access point is AP, and the access controller is AC. In actual applications, STA can be replaced with other terminal devices or devices with the same or corresponding functions, AP can be replaced with other wireless access devices or devices with the same or corresponding functions, and / or AC can be replaced with other control devices or devices with system or corresponding functions.

[0050] like Figure 2 As shown, a method for modifying parameters of a wireless network access point provided in an embodiment of the present application may include the following steps:

[0051] Step 101: The AC obtains the location information of the STA, wherein the location information of the STA is obtained through measurement by the AP.

[0052] In step 101, one or more APs may measure the STA to obtain the location information of the STA. For example, one AP may perform positioning of the STA; multiple APs may respectively position the STA, and the location information of the STA may be determined by weighting or the like according to the positioning results of the multiple APs; or multiple APs may jointly measure to determine the location of the STA.

[0053] It can be understood that the STA in the present application may be one or more STAs in the network scenario to be optimized. The AP may include one or more APs whose parameters are to be modified in the network scenario to be optimized.

[0054] The method of obtaining the STA's location information in step 101 will be described below in conjunction with an embodiment, which will not be expanded here.

[0055] Step 102: The AC determines the analog signal quality at the location of the STA according to the location information of the STA, wherein the analog signal quality is calculated according to the initial network transmission model.

[0056] The network transmission model can be used to simulate and obtain simulation parameters of the wireless network, and the simulation parameters can be used to represent the simulated signal coverage. For example, the network transmission model can be a signal transmission model, which is used to represent the signal quality that changes with the signal transmission distance.

[0057] It can be understood that the initial network transmission model can have set parameters or parameters to be adjusted, and the initial network transmission model can be used to determine the quality of the simulated signal. Among them, the initial network transmission model can refer to a network model that preliminarily sets AP frequency, power, bandwidth, space division multiplexing and other information based on the self-positioning information between APs combined with the scene obstacle information. The parameter propagation factor in the network model can be set by the transmission path loss obtained by mutual measurement between APs. In addition, the initial network transmission model can be considered as the network transmission model currently being used in the network. When the network environment changes, the accuracy of the simulation parameters obtained by simulating the initial network transmission model is low, that is, the simulation results deviate greatly from the measured results, so it is necessary to adjust the parameters through steps 102 and 103. Based on the adjustment of the parameters in the initial network transmission model, an adjusted network transmission model can be obtained. It can be understood that the accuracy of the simulation results obtained by simulating the initial network transmission model is improved.

[0058] As an example, the initial network transmission model may include one or more set parameters. For example, the parameters in the initial network transmission model include one or more of the following: a propagation attenuation factor, which is used to represent the attenuation of the signal during the propagation process; a random variable related to the signal propagation path; and an attenuation parameter caused by an obstruction on the signal propagation path.

[0059] As another example, the initial network transmission model may also be a network transmission model that has undergone one or more parameter adjustments, and the parameters in the initial network transmission model may be parameters that have been adjusted one or more times based on the set values. For example, as the network environment changes, the parameters of the previously adjusted network transmission model may no longer be applicable and need to be readjusted. During the readjustment process, the adjusted network transmission model obtained based on the previous parameter adjustment may be used as the initial network transmission model; the previous parameter adjustment method may refer to step 104, or a method other than the present application may be used.

[0060] Taking the signal power fading model as an example, the AC can determine the simulated power value of the signal sent by the AP at the STA's location based on the signal power fading model, the STA's location information, the AP's location information and the transmit power value set by the AP. The simulated power value is an example of simulated signal quality.

[0061] It can be understood that the simulated signal quality can represent the simulated signal quality of the target AP's signal when it reaches the STA's position. Therefore, optionally, the simulated signal quality can be determined based on at least the STA's position information and the target AP's position information. In the present application, the target AP is an AP whose parameters are to be adjusted. For example, the current scene contains AP1, AP2, and AP3, and the target AP can be one of AP1, AP2, and AP3; if AP1, AP2, and AP3 need to be optimized separately, AP1, AP2, and AP3 can be used as target APs, that is, the network parameters of one AP are adjusted each time until the network optimization of the current scene is completed after at least one traversal of the adjustment of the network parameters of all APs.

[0062] The initial network transmission model and its parameters in step 102 will be introduced below in conjunction with an embodiment.

[0063] Step 103: The AC determines the actual measurement signal quality measured by the STA.

[0064] For example, the actual measured signal quality may be a measured power value of the AP at the STA location obtained by the STA through measurement.

[0065] In a possible embodiment, in an example of step 103, the target AP can obtain the measured power value when the signal sent by the target AP reaches the STA based on the signal transmission between the STA and the target AP, and use it as the measured power value of the AP obtained by the STA through measurement. For example, the measured power value is a signal information measurement value that characterizes the signal power, such as a received signal strength indication (RSSI) or a reference signal receiving quality (RSRQ); the target AP can also send the measured power value to the AC. In addition, in other embodiments, the STA can also measure the signal sent by the AP to obtain the measured power value; further, the STA can send the measured power value to the AC through the AP.

[0066] The present application also does not exclude the AC from obtaining the measurement value of the target AP's signal measured at the STA position as the measurement power value through other means (such as measurement by other equipment other than the STA, etc.).

[0067] Step 104: The AC adjusts the parameters in the initial network transmission model according to the simulated signal quality and the actual measured signal quality to obtain an adjusted network transmission model.

[0068] In step 104, the AC may adjust the parameters in the initial network transmission model according to the simulated signal quality obtained in step 102 and the measured signal quality obtained by the actual measurement of the STA, and the adjusted network transmission model is a network transmission model with adjusted parameters. For example, the AC may decide whether to adjust the parameters in the initial network transmission model and / or how to adjust the parameters in the initial network transmission model according to the difference between the simulated signal quality and the actual measured signal quality. Optionally, the difference between the simulated signal quality obtained by adjusting the network transmission model and the actual measured signal quality meets the set conditions, for example, the difference between the two is less than or equal to the threshold, and the threshold may be called the first threshold, that is, when the adjustment of the transmission of the initial network transmission model makes the difference between the simulated signal quality and the actual measured signal quality less than or equal to the first threshold, it means that the adjustment of the parameters meets the adjustment requirements, that is, the parameter adjustment is completed. Among them, the first threshold may be an absolute value; or the first threshold may also be a variable value determined according to the simulated signal quality or the actual measured signal quality and the set ratio. In the present application, the difference may refer to the absolute value of the difference.

[0069] Still taking the example that the initial network transmission model is a signal power fading model, the AC can obtain a simulated power value through step 102, and based on step 103, obtain a measured power value obtained by the STA measuring the signal sent by the AP. Therefore, in step 104, the AC can decide whether to adjust the parameters in the initial network transmission model based on the difference between the simulated power value and the measured power value, and / or decide how to adjust the parameters in the initial network transmission model.

[0070] The following will introduce the method of adjusting the network transmission model in step 104 in conjunction with an embodiment.

[0071] Step 105: The AC corrects the parameters of the AP according to the simulation parameters obtained by adjusting the network transmission model simulation.

[0072] In the present application, the simulation parameters may include the simulated signal quality or the simulated signal-to-noise ratio at the target location obtained by simulating the adjusted network transmission model. The simulated signal quality may be used to represent the simulated signal quality at any location in the scene. For example, the simulation is a simulated power value, and the simulated power value may be used to represent the simulated power coverage at any location. In addition, the simulated signal-to-noise ratio may be used to represent the simulated signal-to-noise ratio at any location. The simulated signal-to-noise ratio may be determined based on the simulated power value.

[0073] The target location is any location in the network scenario. For example, in an office scenario, the target location can be a location where people gather, such as an office area; the target location can also be a location with poor signal quality determined according to the scenario. It can be understood that the target location can be the location where the STA is located, or it can be a location other than the STA's location.

[0074] In step 105, the AC may modify the parameters of the AP according to the difference between the simulation parameters of the adjusted network transmission model at the target location and the preset values ​​of the target location. The preset values ​​of the target location may be the signal coverage level expected to be achieved at the target location, for example, the preset values ​​of the target location may be the expected signal power value or the expected signal-to-noise ratio.

[0075] Optionally, if the simulation parameter is a simulated signal-to-noise ratio, the AC can correct the AP parameters according to the difference between the simulated signal-to-noise ratio of the STA's location and the measured signal-to-noise ratio of the STA's location when adjusting the network transmission model. At this time, the target location is the location of the STA, so the AP parameters can be corrected in combination with the measured signal-to-noise ratio value of the STA, thereby obtaining a better parameter correction effect to further improve the network optimization performance.

[0076] It will be understood that the present application does not exclude comprehensively adjusting the parameters of the AP at the location of the STA based on the difference between the simulation parameters of the adjusted network transmission model and the preset values, and based on the difference between the simulated signal-to-noise ratio of the adjusted network transmission model at the location of the STA and the measured signal-to-noise ratio at the location of the STA.

[0077] Optionally, the measured signal-to-noise ratio involved in step 105 can be determined based on the channel state information (English: Channel State Information, abbreviated as CSI) between the STA and the target AP and the actual measured signal quality between the STA and each AP, so as to further improve the accuracy of AP parameter correction. Among them, the actual measured signal quality can be the measured power value obtained by the STA measuring the signal sent by each AP. The method for determining the actual measured signal quality can refer to the description of step 103 below.

[0078] The following will introduce the method of correcting the parameters of the AP in step 105 in conjunction with an embodiment.

[0079] Step 101 is described below.

[0080] In step 101, the AP may perform signal measurement during signal transmission with the STA to determine the location information of the STA according to the signal information obtained by the measurement.

[0081] Among them, the signal information in the present application may include RSSI, RSRQ, angle of arrival (English: angle of arrival, abbreviated as AOA) or fine timing measurements (English: fine timing measurements, abbreviated as FTM), or other signal-related parameters that can be used to measure the distance between STA and AP.

[0082] Taking RSSI as an example, as the relative position between STA and AP changes, the measured value of RSSI of the signal sent by STA received by AP will change accordingly. Therefore, according to the measured value of RSSI of the signal of STA received by AP, the signal transmission power of STA, signal attenuation parameters and other information, the distance between AP and STA when sending the signal can be inferred to achieve ranging. Therefore, the relative position between STA and AP can be accurately determined according to the first signal strategy information. Optionally, AP can measure multiple signals sent by STA respectively to obtain multiple RSSIs, and obtain RSSI corresponding to STA by filtering and / or averaging. Among them, filtering can refer to discarding RSSI with invalid values ​​such as too small values, or taking the largest n values ​​of RSSI to improve positioning efficiency, where n is a positive integer. Averaging can refer to averaging the RSSI of the same STA signal collected multiple times to improve reliability.

[0083] The process of STA positioning based on RSRQ measurement is similar to the principle of STA positioning based on RSSI. In addition, during the wireless signal transmission process, the antenna array signals of different angles and ranges in the signal propagation direction in the signal transmission, the signals received by different antennas will have a receiving signal time difference, and this time difference can be used to correspond to different AOAs. Therefore, the distance between the STA and the AP can also be measured based on the AOA of the STA signal received by the AP.

[0084] In addition, FTM is related to the transmission time of the signal between the transmitting end and the receiving end, so the ranging can be performed based on the time when the signal is sent from the STA and the time when the AP receives the signal.

[0085] In a possible embodiment, a possible way for the AC to obtain the location information of the STA includes: during the communication process between the AP and the STA, the AP obtains the RSSI of the signal sent by the STA by measuring, and sends the RSSI to the AC, and the AC determines the distance between the AP and the STA based on the RSSI and the STA's transmission power and other information, and can further determine the location information of the STA based on the distance.

[0086] For example, the AC can determine the simulated value of the RSSI of the signal received by the AP from the STA at different distances based on information that affects the signal measurement result, such as the transmission power of the STA and the loss during signal transmission. Alternatively, the AC can be configured with a correspondence between the distance and the simulated value of the RSSI. The AC can compare the RSSI actually measured by the AP with the simulated values ​​of the RSSI at different distances, determine the closest simulated value of the RSSI, and use the distance corresponding to the simulated value as the simulated value between the AP and the STA. Optionally, the correspondence between the distance and the simulated value of the RSSI can be obtained based on machine learning (ML) or based on experience, which is not specifically limited in this application.

[0087] It can be understood that the present application does not limit the use of other methods to determine the distance between the STA and the AP based on the RSSI.

[0088] In the above embodiment, before the AP sends RSSI to the AC, the AC may send a positioning request to the AP, and the positioning request includes the identifier of the STA to be located. Accordingly, the AP may locate the STA according to the identifier of the STA to be located. Among them, the AC may instruct the AP to locate some or all STAs in the current network scenario through the identifier of the STA. The identifier of the STA in the current network scenario may be provided to the AC by the STA during the registration process. Optionally, during the registration process, the AC may also obtain the approximate location information of the STA, such as obtaining the information of the AP to which the STA accesses or low-precision location information. Exemplarily, if only some STAs need to be located, the AC may select some STAs according to the approximate locations of all STAs, such as filtering out STAs whose locations overlap or are close to other STAs, so as to save measurement overhead.

[0089] In addition, in this embodiment, after determining the distances between the multiple APs and the STA respectively, the AC can also calculate the position information of the STA to be located according to the position information of the AP and the distance between the AP and the STA.

[0090] by Figure 3For example, the STAs in the wireless network scenario include STA1, STA2, and STA3. The AC can receive the RSSI corresponding to STA1, STA2, and STA3 sent by AP1, and determine the distance between STA1 and AP1 (denoted as d11) according to the RSSI corresponding to STA1, the distance between STA2 and AP1 (denoted as d21) according to the RSSI corresponding to STA2, and the distance between STA3 and AP1 (denoted as d31) according to the RSSI corresponding to STA3. Similarly, the AC can also determine the distance between STA1 and AP2 (denoted as d12), the distance between STA2 and AP2 (denoted as d22), the distance between STA3 and AP2 (denoted as d32), the distance between STA1 and AP3 (denoted as d13), the distance between STA2 and AP3 (denoted as d23), and the distance between STA3 and AP3 (denoted as d33).

[0091] The AC can also determine the location information of the STA based on the distances between multiple APs and the STA and the known location information of multiple APs in the scene. Figure 3 Taking the location information of STA1 in as an example, in one example, AC can select intersection points on circles with AP1, AP2 and AP3 as centers and d11, d12 and d13 as radii, and determine the location information of STA1 according to the intersection points.

[0092] It is understandable that AC may also obtain the location information of STA2 and the location information of STA3 in a similar manner.

[0093] In another possible embodiment, a possible way for AC to obtain the location information of STA includes: the positioning AP performs the function of AC in determining the location information of STA in the previous possible embodiment. For example, an AP with STA positioning function (for example, called positioning AP) can collect RSSI of STA signals obtained by other APs through measurement from other APs, and / or the positioning AP obtains RSSI of signals sent by STA through measurement, and the positioning AP determines the distance between the positioning AP and the STA to be located based on RSSI obtained by itself and / or other APs through measurement, the transmission power of STA, and the loss during signal transmission. Then, the positioning AP calculates the location information of the STA to be located based on the location information of itself and / or other APs and the distance between the AP and the STA to be located determined based on RSSI. The positioning AP can also send the location information of the STA to be located to AC, so that AC obtains the location information. In this embodiment, the method of determining the distance between other APs or positioning APs and the STA to be located, and the method of determining the location information of STA based on the distance and the location information of AP, can all refer to the above-mentioned embodiment, except that the execution subject is changed from AC to positioning AP.

[0094] Optionally, the location information of the AP in the present application may adopt the set location information of the AP set when the AP is deployed. In addition, the location information of the AP may also be obtained based on AP self-positioning, such as AP positioning based on the measurement of signal information between two APs, for example, the set location information of the preset AP is corrected based on the measurement of signal information between two APs. Optionally, the set location information of the AP may be included in the computer-aided design (English: Computer Aided Design, abbreviated as CAD) data of the scene design.

[0095] For example, similar to STA positioning, signal information between APs can also be used to determine the distance between APs. Therefore, an exemplary AP self-positioning method includes: the AP to be positioned sends a signal, and other APs collect the signal of the AP to be positioned and obtain signal information such as RSSI, AoA, RSRQ or FTM to determine the distance between APs. The position of the AP can be further determined based on the distance between APs. For example, the set position information of multiple APs can be combined with the distance between APs obtained based on signal measurement when deploying a wireless network scenario to calibrate the set position information of the AP, so as to achieve high-precision positioning of the AP.

[0096] It can be understood that the above AP positioning method is an exemplary description, and the present application does not limit the use of other methods to determine the location information of the AP.

[0097] It can also be understood that the above method of STA positioning based on signal information such as RSSI, RSRQ, AoA or FTM is only an exemplary description, and the present application does not limit the use of the above method to determine the location information of the STA according to the signal strategy information. For example, in a STA positioning based on an ML model, the RSSI measurement value obtained by one or more APs and parameters such as the location information of the AP can be used as inputs to the ML model, and the output result of the ML model is the location information of the STA, wherein the ML model can be obtained through training based on existing data. In addition, in step 101, the location information of the STA can also be determined based on other STA high-precision positioning schemes based on signal information in the prior art.

[0098] Step 102 is described below.

[0099] In this application, the parameters of the network transmission model are related to the transmission path in the network scenario, that is, different parameters may exist on different transmission paths. The transmission path can be referred to as a path, which is the signal propagation route between the target location (or other arbitrary location) in the network scenario and the AP. The target location can be used as a potential STA location, or it can be the location where the STA is located.

[0100] For example, STA1 is at the target location. Figure 3 As shown, the path corresponding to STA1 may include path d11 for AP1 to send signals to STA1, path d12 for AP2 to send signals to STA1, and path d13 for AP3 to send signals to STA1. It can be understood that when studying the signal coverage of a certain STA, it is necessary to consider the transmission loss of the signals of each AP received by the STA, so the transmission path is the transmission path between the STA and each AP. For example, when there are K+1 APs in the scene, there are K+1 paths that can be used to transmit signals to one STA. In this application, any path of the STA can be called the jth path, j=1, 2, ...K+1, and K is a positive integer greater than 1.

[0101] Optionally, the parameters of the initial network transmission model in different transmission paths may be related to obstacles existing in the paths in real scenarios. Figure 4As shown, in real scenes, different paths have different obstacles (shown in black rectangles), and obstacles at least affect the attenuation parameters. Therefore, the parameters of the initial network transmission model can be set according to the CAD data of the real scene. The CAD data here, for example, includes the size, position, signal blocking parameters or signal reflection parameters of obstructions such as walls in the scene, which can be used to determine the penetration loss and other loss information under each transmission path. Therefore, the attenuation parameters of each obstacle in the scene can be determined based on the CAD data, and the attenuation parameters of the path can be determined according to the obstacles along the path. For example Figure 4 As shown, the obstacle between AP1 and STA3 may cause increased loss during signal transmission, so the attenuation parameter between STA3 and AP1 can be set according to the CAD data related to the obstacle; and there is no obstacle between AP1 and STA1, so the attenuation parameter between AP1 and STA1 caused by the obstacle can be 0, or can be a set value.

[0102] As an example, for the target location, the initial network transmission model PL may satisfy the following formula (1):

[0103]

[0104] Among them, PL j (d j0 ) represents the set distance d of the jth path corresponding to the target position j0 Signal loss under d j0 and PL j (d j0 ) can be a set value or a known value; for example, assuming that the signal loss at a distance of one meter (m) from the signal transmitting device is 46 decibels (dB), that is, d j0 =1(m), PL j (d j0 )=46(dB); This application does not limit the use of other d j0 and PL j (d j0 ) value. d represents the propagation distance of the signal. Here, the distance between the target location and the target AP can be used as the value of d. j represents the propagation attenuation factor under the jth path, and its value can be a value set for the path, for example, a value determined based on experience. j0 A represents the normal random variable associated with the jth path, which can be a set value or a known value. log represents logarithmic operation. ji R represents the diffraction loss of the i-th obstruction on the j-th path. ji L represents the transmission loss of the i-th obstruction on the j-th path. jirepresents the penetration loss of the i-th obstruction on the j-th path. i = 1, 2, ..., Q, where Q is the number of obstructions on the j-th path. For example, Figure 4 As shown, there is a wall between AP1 and STA3, that is, the number of obstructions is 1.

[0105] Optionally, the diffraction loss, transmission loss and / or penetration loss of different shielding objects may be different, and it can be understood that ∑ i A ji is the total diffraction loss of Q obstructions, ∑ i R ji is the total transmission loss of Q obstructions, ∑ i L ji is the total penetration loss of Q occluders.

[0106] It can be understood that in formula (1), n j , X j0 ,∑ i A ji ,∑ i R ji and∑ i L ji One or more of the above are used as parameters of the initial network transmission model.

[0107] In step 102, the AC may use the position of the STA as the target position to determine the initial network transmission model corresponding to the position of the STA, and determine the simulated signal quality according to the initial network transmission model. The initial network transmission model corresponding to the position of the STA may satisfy formula (1). In this case, j in formula (1) represents the jth path of the STA, that is, the path between the STA and the jth AP among the multiple APs; d represents the distance between the STA and the target AP, that is, d is determined according to the position information of the STA and the position information of the target AP.

[0108] For example, taking the analog signal quality as an analog power value, the analog power value P is determined according to the location information of the STA. r The following formula (2) can be satisfied:

[0109]

[0110] Among them, P t represents the transmit power of the AP, d represents the distance between the AP and the STA, and other parameters can refer to the description of formula (1). It can be understood that the transmit power here is the network parameter setting value of the target AP before correction.

[0111] Step 104 is described below. Taking the simulated signal quality as a simulated power value and the actual measured signal quality as a measured power value as an example, a method of adjusting the parameters in the initial network transmission model according to the simulated signal quality and the actual measured signal quality and obtaining the adjusted network transmission model includes: obtaining the simulated power value P of the target AP at the STA position through step 102 r , and obtain the actual measured signal quality (denoted as P) through step 103 r '); Determine P r With P r 'Difference; Determine whether to adjust the value used to determine P according to the relationship between the difference and the second threshold value r Parameters of the initial network transmission model. According to formula (1), the parameters in the initial network transmission model may include n j , X j0 ,∑ i A ji ,∑ i R ji and∑ i L ji One or more of .

[0112] The second threshold can be a set absolute value, such as 5 dB; or it can be based on a set ratio and P r or P r 'The determined value, the set ratio is, for example, 10%, etc., which is not specifically limited. It can be understood that the absolute value corresponding to the first threshold in the present application can be the same as or different from the absolute value corresponding to the second threshold, and / or the set ratio corresponding to the first threshold can be the same as or different from the set ratio corresponding to the second threshold, which is not specifically limited.

[0113] For example, when P r With P r ' is greater than or equal to the second threshold, it indicates that the parameters of the initial network transmission model need to be adjusted; when P r With P r ' is less than the second threshold, it means that there is no need to adjust the parameters of the initial network transmission model. At this time, the initial network transmission model is the adjusted network transmission model.

[0114] Optionally, if the parameters of the initial network transmission model need to be adjusted, AC can r With P r The difference between ' and the second threshold adjusts the parameters of the initial network transmission model. r With P r When the difference of ' exceeds the second threshold value by a large margin, AC can adjust the parameters of the initial network transmission model by a large margin. r With P r' exceeds the second threshold by a small margin, the AC may adjust the parameters of the initial network transmission model by a small margin.

[0115] It can be understood that the method of adjusting the parameters of the initial network transmission model in step 103 can be to change n in formula (1) j , X j0 ,∑ i A ji ,∑ i R ji and∑ i L ji Optionally, the AC may also determine the adjusted P using a network transmission model including the adjusted parameters. r ”, the P r " can still satisfy formula (2), the difference is that n in formula (2) j , X j0 ,∑ i A ji ,∑ i R ji and∑ i L ji One or more parameters in P change. r ” and P r ' and the first threshold, determine whether the adjustment of the parameter meets the adjustment requirements. For example, if the difference is less than or equal to the first threshold, it means that the adjustment requirements are met, and the network transmission model is adjusted; if the difference is greater than the first threshold, it means that the adjustment requirements are not met, and the n in formula (1) can be adjusted again or multiple times. j , X j0 ,∑ i A ji ,∑ i R ji and∑ i L ji Adjust the values ​​of one or more parameters in the control until they meet the adjustment requirements.

[0116] For example, the measured values ​​P of AP1, AP2, and AP3 measured by STA1 r 'Respectively recorded as rP1_ap1, rP1_ap2 and rP1_ap3, AP1, AP2 and AP3 are the simulated power P r Denoted as P1_ap1, P1_ap2 and P1_ap3 respectively, the power difference corresponding to AP1 is delta_AP1=rP1_ap1-P1_ap1. delta_AP1 can be made close to 0 to meet the parameter adjustment requirements, that is, by changing n in formula (2): j , A ji, R ji or L ji The values ​​of the same parameters make P1_ap1 approach rP1_ap1.

[0117] Step 105 is described below.

[0118] Taking the simulation parameter as the simulation power value as an example, when the parameter correction of the target AP is performed based on any target location, the AC can determine the simulation power value of any target location by adjusting the network transmission model, wherein the simulation power value satisfies formula (2), and n in formula (2) is j , X j0 ,∑ i A ji ,∑ i R ji and∑ i L ji One or more parameters in can be parameters that meet the adjustment requirements, and the transmission path involved in formula (2) is the transmission path between the target location and one or more APs including the target AP. In addition, the AC can obtain the preset power value at the target location, and adjust the parameters of the target AP according to the relationship between the simulated power value and the preset power value. For example, if the simulated power value is less than the preset power value, the transmit power value of the target AP can be increased to achieve the correction of the parameters of the target AP.

[0119] Similarly, the simulation parameter is a simulated signal-to-noise ratio, and the AC can adjust the parameters of the target AP according to the simulated signal-to-noise ratio at the target location and a preset value of the signal-to-noise ratio.

[0120] The simulated signal-to-noise ratio SNR can satisfy the following formula (3):

[0121] SNR = P r / (∑ k (P rk )),

[0122] Among them, P r Indicates the simulated power value determined according to the STA location information, P r It can satisfy formula (2), where n j , X j0 ,∑ i A ji ,∑ i R ji and∑ i L ji One or more parameters in may be parameters that meet the adjustment requirements, and the transmission path involved in formula (2) is the transmission path between the target location and one or more APs including the target AP. k (P rk) represents the sum of the simulated power values ​​of the signals sent by K APs other than the target AP at the STA position, where the simulated power of the signal sent by the kth AP at the STA position can be expressed as P rk , k = 1, 2, ..., K, K is the number of APs in the scene except the target AP. The power of the signal sent by any of the K APs when reaching the STA satisfies formula (2), where n j , X j0 ,∑ i A ji ,∑ i R ji and∑ i L ji One or more parameters in may be parameters that meet the adjustment requirements.

[0123] If the simulated signal-to-noise ratio is less than the preset signal-to-noise ratio value, the transmit power value of the target AP may be increased to modify the parameters of the target AP.

[0124] In addition, if the simulation parameter is the simulated signal-to-noise ratio, and the target location is the location of the STA, the AC can further modify the parameters of the target AP according to the measured signal-to-noise ratio of the STA location. The measured signal-to-noise ratio can satisfy formula (4):

[0125] SNR'=P r ' / (∑ k (P rk '))*Msnr,

[0126] Among them, P r ' represents the measured power of the target AP signal at the STA position, that is, the actual measured signal quality. r The determination method of ' may refer to the description in step 103. k (P rk ') represents the sum of the measured powers of the transmission signals of K APs other than the target AP at the STA position. Msnr is related to the CSI measurement value between the STA and the target AP.

[0127] For example, Msnr satisfies the following formula (5):

[0128] Msnr=(∑ p T*det(CSIp)) / N,

[0129] In formula (5), CSIp represents the measured value of the CSI of the pth subcarrier between the target AP and the STA. det() represents the rank operation. T is a known adjustment factor, for example, T = 0.5. N is the number of subcarriers of the AP, that is, p = 1, 2, ..., N. The value of N is related to the bandwidth of the AP.

[0130] Among them, the target AP can measure the channel between the target AP and the STA through the signal transmission process with the STA to obtain CSIp. The STA can also measure the CSI and feed back the measurement result CSIp to the target AP. It can be understood that the measurement method of CSI does not belong to the limited content of this application. After obtaining CSIp, the target AP can send CSIp to the AC so that the AC obtains CSIp.

[0131] The method for further correcting the parameters of the target AP according to the measured signal-to-noise ratio at the STA position includes, for example: the AC determines the simulated signal-to-noise ratio SNR by adjusting the network transmission model, which satisfies formula (3). Further, the SNR' that satisfies formula (4) is obtained by measurement. The parameters of the target AP are further corrected according to the difference between SNR and SNR'. For example, when the SNR is greater than SNR', the measured signal-to-noise ratio at the STA position is improved by increasing the transmission power of the target AP, thereby obtaining better network performance.

[0132] It can be understood that based on formula (4) and formula (5), the determination process of SNR' takes into account the actual measured signal quality of the global AP and the CSI between the target AP and the STA. Therefore, when the parameters of the target AP are further corrected by SNR', optimization for MIMO transmission can be achieved, rather than just the traditional optimization based on coverage prediction simulation under single-stream transmission. Therefore, the final network optimization effect is more in line with the current MIMO-based network transmission scenario, which can further improve the network optimization performance.

[0133] Based on the above embodiments, the AC can estimate the simulated signal-to-noise ratio of the target AP based on the positioning of the STA. The AC can also correct the simulated signal-to-noise ratio based on the power measurement result and / or CSI measurement result between the AC and the AP to improve the accuracy of the simulated signal-to-noise ratio. Further, the network parameters of the target AP can be optimized based on the simulated signal-to-noise ratio to improve the global network performance.

[0134] Based on the same inventive concept as the above method embodiment, the present application embodiment also provides a parameter correction device for a wireless network access point. The device can be used to perform the actions described in the above method embodiment. In this embodiment, the structure of the device can be as follows: Figure 5 As shown. Figure 5 As shown, the present application exemplarily provides a parameter correction device for a wireless network access point, including an acquisition module 501 and a processing module 502 .

[0135] An acquisition module 501 is used to acquire location information of a terminal device, where the location information of the terminal device is obtained by measuring a wireless network access point;

[0136] A processing module 502 is used to determine the analog signal quality at the location of the terminal device according to the location information of the terminal device, wherein the analog signal quality is calculated according to an initial network transmission model;

[0137] The processing module 502 is further used to determine the quality of the actual measurement signal obtained by measurement;

[0138] The processing module 502 is further configured to adjust the parameters in the initial network transmission model according to the simulated signal quality and the actual measured signal quality to obtain an adjusted network transmission model;

[0139] The processing module 502 is further configured to modify the parameters of the wireless network access point according to the simulation parameters obtained by adjusting the network transmission model simulation.

[0140] Optionally, the processing module 502 is specifically used to: adjust the simulated signal quality obtained by simulating the network transmission model; or adjust the simulated signal-to-noise ratio obtained by simulating the network transmission model.

[0141] Optionally, the acquisition module 501 is specifically used to: measure the arrival angle of the terminal device, and determine the location information of the terminal device based on the arrival angle; or measure the RSSI of the terminal device, and determine the location information of the terminal device based on the RSSI.

[0142] Optionally, the processing module 502 is specifically used to: adjust the parameters in the initial network transmission model according to the difference between the simulated signal quality and the actual measured signal quality, so that the difference between the simulated signal quality obtained according to the adjusted network transmission model and the actual measured signal quality is less than a first threshold.

[0143] Optionally, the processing module 502 is specifically configured to: modify the parameters of the target wireless network access point according to the difference between the simulation parameters of the adjusted network transmission model at the target location and the preset values ​​of the target location.

[0144] Optionally, the simulation parameters obtained by simulating the adjusted network transmission model include a simulated signal-to-noise ratio obtained by simulating the adjusted network transmission model; the processing module 502 is specifically used to correct the parameters of the wireless network access point according to the difference between the simulated signal-to-noise ratio of the adjusted network transmission model at the location of the terminal device and the measured signal-to-noise ratio at the location of the terminal device.

[0145] Optionally, the processing module 502 is specifically configured to: determine the signal-to-noise ratio according to the channel state information between the terminal device and the wireless network access point and the actual measured signal quality.

[0146] Based on the same inventive concept as the above method embodiment, an electronic device is also provided in the embodiment of the present application. The electronic device can be used to perform the actions described in the above method embodiment. In this embodiment, the structure of the electronic device can be as follows: Figure 6 As shown, it includes a memory 601 and one or more processors 602 .

[0147] The memory 601 is used to store computer programs executed by the processor 602. The memory 601 may mainly include a program storage area and a data storage area, wherein the program storage area may store an operating system and programs required for running the instant messaging function, etc.; the data storage area may store various instant messaging information and operation instruction sets, etc.

[0148] The memory 601 may be a volatile memory (English: volatile memory), such as a random access memory (English: random-access memory, abbreviated as RAM); the memory 601 may also be a non-volatile memory (English: non-volatile memory), such as a read-only memory, a flash memory (English: flash memory), a hard disk drive (English: hard disk drive, abbreviated as HDD) or a solid-state drive (English: solid-state drive, abbreviated as SSD), or the memory 601 is any other medium that can be used to carry or store the desired program code in the form of instructions or data structures and can be accessed by a computer, but is not limited thereto. The memory 601 may be a combination of the above memories.

[0149] The processor 602 may include one or more central processing units (CPU) or digital processing units, etc. The processor 602 is used to implement the above method when calling the computer program stored in the memory 601 .

[0150] The specific connection medium between the memory 601 and the processor 602 is not limited in the present embodiment. Figure 6 In the embodiment, the memory 601 and the processor 602 are connected via a bus 603. The bus 603 is connected to the processor 602 via a bus 603. Figure 6 The connections between other components are shown in bold lines, which are only for illustration and are not intended to be limiting. Bus 603 can be divided into address bus, data bus, control bus, etc. For ease of representation, Figure 6 Only one thick line is used in the diagram, but this does not mean that there is only one bus or only one type of bus.

[0151] Optionally, the processor 602 may be configured to execute any one or more of the above actions executed by the acquisition module 501 and the processing module 502 .

[0152] According to one aspect of the present application, a computer program product or computer program is provided, the computer program product or computer program includes computer instructions, the computer instructions are stored in a computer-readable storage medium. A processor of a computer device reads the computer instructions from the computer-readable storage medium, and the processor executes the computer instructions, so that the computer device executes the method in the above embodiment.

[0153] The program product may use any combination of one or more readable media. The readable medium may be a readable signal medium or a readable storage medium. The readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination of the above. More specific examples of readable storage media (a non-exhaustive list) include: an electrical connection with one or more wires, a portable disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above.

[0154] The above description is only a specific implementation manner of the present application, but the protection scope of the present application is not limited thereto. Any technician familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application.

Claims

1. A method for modifying parameters of a wireless network access point, characterized in that: include: Acquire location information of a terminal device, where the location information of the terminal device is obtained by measuring a wireless network access point; Determine, according to the location information of the terminal device, the quality of the analog signal at the location of the terminal device, wherein the quality of the analog signal is calculated according to the initial network transmission model; Determining an actual measurement signal quality measured by the terminal device; According to the simulated signal quality and the actual measured signal quality, adjusting parameters in the initial network transmission model to obtain an adjusted network transmission model; The parameters of the wireless network access point are modified according to the simulation parameters obtained by adjusting the network transmission model simulation.

2. The method according to claim 1, characterized in that The adjusting of simulation parameters obtained by simulating the network transmission model includes: The simulated signal quality obtained by simulating the adjusted network transmission model; or The simulated signal-to-noise ratio is obtained by simulating the adjusted network transmission model.

3. The method according to claim 1, characterized in that The location information of the terminal device is obtained by measuring the wireless network access point, including: The wireless network access point measures the arrival angle of the terminal device, and determines the location information of the terminal device according to the arrival angle; or The wireless network access point measures a received signal strength indication RSSI of the terminal device, and determines the location information of the terminal device according to the RSSI.

4. The method according to claim 1, characterized in that The step of adjusting the parameters in the initial network transmission model according to the simulated signal quality and the actually measured signal quality to obtain the adjusted network transmission model comprises: According to the difference between the simulated signal quality and the actual measured signal quality, the parameters in the initial network transmission model are adjusted so that the difference between the simulated signal quality obtained according to the adjusted network transmission model and the actual measured signal quality is less than a first threshold.

5. The method according to claim 1, characterized in that The step of modifying the parameters of the wireless network access point according to the simulation parameters obtained by adjusting the network transmission model simulation includes: The parameters of the target wireless network access point are modified according to the difference between the simulation parameters of the adjusted network transmission model at the target location and the preset values ​​of the target location.

6. The method according to claim 1, characterized in that The simulation parameters obtained by adjusting the network transmission model simulation include a simulation signal-to-noise ratio obtained by adjusting the network transmission model simulation; The step of modifying the parameters of the wireless network access point according to the simulation parameters obtained by adjusting the network transmission model simulation includes: The parameters of the wireless network access point are modified according to a difference between a simulated signal-to-noise ratio of the adjusted network transmission model at the location of the terminal device and a measured signal-to-noise ratio at the location of the terminal device.

7. The method according to claim 6, characterized in that The measured signal-to-noise ratio of the location of the terminal device comprises: A signal-to-noise ratio is determined according to the channel state information between the terminal device and the wireless network access point and the actual measured signal quality.

8. A parameter correction device for a wireless network access point, characterized in that: include: An acquisition module, used to acquire location information of a terminal device, where the location information of the terminal device is obtained by measuring a wireless network access point; A processing module, configured to determine the quality of an analog signal at a location of the terminal device according to the location information of the terminal device, wherein the quality of the analog signal is calculated according to an initial network transmission model; The processing module is further used to determine the quality of the actual measurement signal obtained by measurement; The processing module is further used to adjust the parameters in the initial network transmission model according to the simulated signal quality and the actual measured signal quality to obtain an adjusted network transmission model; The processing module is further used to correct the parameters of the wireless network access point according to the simulation parameters obtained by simulating the adjusted network transmission model.

9. An electronic device, characterized in that: The method comprises a processor and a memory, wherein the memory stores program codes, and when the program codes are executed by the processor, the processor executes the steps of any one of the methods in claims 1 to 7.

10. A computer-readable storage medium, characterized in that: The method comprises a program code. When the program code is run on an electronic device, the program code is used to enable the electronic device to execute the steps of any method described in claims 1 to 7.

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