Wireless network access point parameter correction method, apparatus, electronic device and computer-readable storage medium

Abstract

Disclosed in the present application are a wireless network access point parameter correction method, an apparatus, an electronic device and a computer-readable storage medium. The method comprises: acquiring location information of a terminal device, the location information of the terminal device being obtained by means of wireless network access point measurement; on the basis of the location information of the terminal device, determining a simulated signal quality at the location of the terminal device, the simulated signal quality being calculated on the basis of an initial network transmission model; determining an actual measured signal quality obtained by means of measurement of the terminal device; on the basis of the simulated signal quality and the actual measured signal quality, adjusting parameters of the initial network transmission model, so as to obtain an adjusted network transmission model; and, on the basis of simulation parameters obtained by means of simulation of the adjusted network transmission model, correcting parameters of the wireless network access point.

Description

Wireless network access point parameter correction method, device, electronic device and computer-readable storage medium

[0001] CROSS-REFERENCE TO RELATED APPLICATIONS

[0002] This application claims priority to the Chinese patent application filed with the State Intellectual Property Office of China on September 13, 2023, with application number 202311181811.1, and invention name “A method and device for parameter correction of a wireless network access point”, the entire contents of which are incorporated by reference into this application. Technical Field

[0003] The embodiments of the present application relate to the field of wireless communications, and in particular to a method, device, electronic device, and computer-readable storage medium for modifying parameters of a wireless network access point. Background Art

[0004] Currently, two approaches are commonly used to obtain coverage information for wireless network optimization. The first involves using drive test equipment to conduct actual measurements after network deployment, thereby adjusting the parameters of wireless network access points. This approach uses mobile measurements within the network deployment area, optimizing the network based on its location and the network coverage at that location. However, changes in the network environment require re-measurement, resulting in high costs and time-consuming optimization. The second approach involves deploying telemetry equipment throughout the network to continuously monitor the network and adjust the parameters of wireless network access points based on the monitoring results.

[0005] Summary of the Invention

[0006] Embodiments of the present application provide a method, apparatus, electronic device, and computer-readable storage medium for modifying parameters of a wireless network access point, for modifying parameters of a wireless network access point.

[0007] In a first aspect, an embodiment of the present application provides a parameter correction method for a target access point AP, which is applied to an access point controller AC, including: obtaining location information of a terminal device, where the location information of the terminal device is measured by a wireless network access point AP; determining the analog signal quality at the location of the terminal device based on the location information of the terminal device, where the analog signal quality is calculated based on an initial network transmission model; determining the actual measurement signal quality measured by the terminal device; adjusting the parameters in the initial network transmission model based on the analog signal quality and the actual measurement signal quality to obtain an adjusted network transmission model; and correcting the parameters of the target AP based on simulation parameters obtained by simulating the adjusted network transmission model.

[0008] 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 having to record the location in advance, 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. Based on the simulated signal quality and the actual measurement signal quality measured by the terminal device, the parameters in the initial network transmission model are adjusted 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 enhanced. In addition, the above optimization process does not require the intervention of road test equipment, which can reduce the cost and complexity of the solution.

[0009] Optionally, the parameters of the target AP are corrected according to the simulation parameters obtained by adjusting the network transmission model simulation, including: correcting the parameters of the target AP according to the difference between the simulation parameters of the adjusted network transmission model at the target location and the preset values ​​at the target location.

[0010] Optionally, the simulation parameters include a simulation power value.

[0011] Optionally, according to the simulation parameters obtained by adjusting the network transmission model simulation, the parameters of the target AP are corrected, including: if the simulation power value is less than the preset power value, increasing the transmission power value of the target AP.

[0012] Optionally, the simulation parameters include: a simulation signal-to-noise ratio.

[0013] Optionally, the parameters of the target AP are modified according to the simulation parameters obtained by adjusting the network transmission model simulation, including: if the simulation signal-to-noise ratio is less than a preset signal-to-noise ratio value, increasing the transmit power value of the target AP.

[0014] 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.

[0015] Optionally, the simulated signal-to-noise ratio satisfies: SNR=P r / (∑ k (P rk )),

[0016] Among them, SNR represents the simulated signal-to-noise ratio, P r Indicates the simulated power value determined according to the location information of the terminal device, P rkrepresents the simulated power of the signal sent by the kth AP at the location of the terminal device, k = 1, 2, ..., K, K is the number of other APs in the scene except the target AP, ∑ k (P rk ) represents the sum of the simulated power values ​​of the transmission signals of K APs other than the target AP at the location of the terminal device.

[0017] Optionally, the target location is the location of the terminal device, and the AC further corrects the target AP according to a measured signal-to-noise ratio at the location of the terminal.

[0018] Optionally, the parameters in the initial network transmission model include one or more of the following:

[0019] Propagation attenuation factor, used to indicate the attenuation of the signal during propagation;

[0020] a random variable associated with the path the signal travels; or

[0021] Attenuation parameter caused by obstructions on the signal propagation path.

[0022] Optionally, the initial network transmission model is a signal power fading model.

[0023] Optionally, the location information of the terminal device is obtained through wireless network AP measurement, including: the wireless network AP 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 AP measures the received signal strength indication RSSI of the terminal device, and determines the location information of the terminal device based on the RSSI.

[0024] 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.

[0025] Optionally, the location information of the terminal device is obtained by measuring a wireless network AP, including: jointly measuring by multiple wireless network APs to determine the location of the terminal device.

[0026] Optionally, according to the simulated signal quality and the actual measured signal quality, the parameters in the initial network transmission model are adjusted to obtain the adjusted network transmission model, including: according to the difference between the simulated signal quality and the actual measured signal quality, adjusting the parameters in the initial network transmission model 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.

[0027] According to this 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 value at the location, thereby improving the optimization effect of the wireless network.

[0028] Optionally, adjusting the simulation parameters obtained by simulating the network transmission model includes adjusting the simulation signal-to-noise ratio obtained by simulating the adjusted network transmission model; correcting the parameters of the target AP according to the simulation parameters obtained by simulating the adjusted network transmission model, including: correcting the parameters of the target AP according to the difference between the simulation 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.

[0029] 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.

[0030] Optionally, the measured signal-to-noise ratio of the location of the terminal device includes: a signal-to-noise ratio determined according to channel state information between the terminal device and the wireless network AP and actual measured signal quality.

[0031] According to this 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, which can make the determination result of the measured signal-to-noise ratio more consistent with the MIMO scenario and improve the network optimization performance in the MIMO scenario.

[0032] In the second aspect, an embodiment of the present application also provides a parameter correction device for a target access point AP, including: an acquisition module for acquiring the location information of a terminal device, the location information of the terminal device is obtained by measuring the wireless network AP; a processing module for determining the simulated signal quality at the location of the terminal device based on the location information of the terminal device, the simulated signal quality is calculated based on the initial network transmission model; the processing module is also used to determine the actual measured signal quality; the processing module is also used to adjust the 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 the processing module is also used to correct the parameters of the target AP based on the simulation parameters obtained by simulating the adjusted network transmission model.

[0033] Optionally, the processing module is specifically configured to: modify parameters of the target AP according to a difference between simulation parameters of the adjusted network transmission model at the target location and preset values ​​at the target location.

[0034] In a third aspect, the present application provides an electronic device, a chip, or a chip system, comprising:

[0035] a memory for storing program instructions;

[0036] The processor is configured to call the program instructions stored in the memory and execute the steps included in any one of the methods of the first aspect according to the obtained program instructions.

[0037] 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 according to the first aspect.

[0038] 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

[0039] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the following briefly introduces the drawings required for use in the description of the embodiments. 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 any creative work.

[0040] FIG1 is a schematic diagram of a wireless network coverage area;

[0041] FIG2 is a flow chart of a method for modifying parameters of a wireless network access point provided by an embodiment of the present application;

[0042] FIG3 is a schematic diagram of a scenario for determining the distance between a terminal device and a wireless network access point according to an embodiment of the present application;

[0043] FIG4 is a schematic diagram of a transmission path and obstructions of a wireless network access point provided by an embodiment of the present application;

[0044] FIG5 is a schematic diagram of a device structure provided in an embodiment of the present application;

[0045] FIG6 is a schematic diagram of another device structure provided in an embodiment of the present application. DETAILED DESCRIPTION

[0046] In order to make the purpose, technical solutions and advantages of this application clearer, the following will provide an optional detailed description of this application in conjunction with the accompanying drawings. Obviously, the embodiments described are only part of the embodiments of this application, not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of this 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.

[0047] The terms "first" and "second" in the specification and claims of this 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 its variations are intended to cover non-exclusive protection. For example, a process, method, system, product or device that includes a series of steps or units is not limited to the listed steps or units, but optionally 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 this application can mean at least two, for example, two, three or more, and the embodiments of this application are not limited thereto.

[0048] In the technical solution of this application, the collection, dissemination, and use of data comply with the requirements of relevant national laws and regulations.

[0049] To facilitate understanding, the technical background of the embodiments of the present application is first introduced in detail below.

[0050] The present application can be applied in a wireless network scenario with one or more wireless network access points (English: Access Point, abbreviated as AP), for example, the wireless network scenario is a wireless local area network. As shown in Figure 1, 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 same-frequency APs. Among them, same-frequency APs refer to these APs working at the same frequency, and the interference between same-frequency APs is large; in addition, the present application does not exclude the inclusion of multiple non-same-frequency APs in the wireless network scenario.

[0051] The AP in this application can be used to provide wireless network access and communicate with STAs via the wireless network. Furthermore, the STA in this application can access the wireless network provided by the AP and communicate via the wireless network. STAs include, for example, mobile phones, tablets, personal computers, and other wireless network-capable communication devices. The AC can be used to manage the AP, such as configuring the AP or managing the wireless network.

[0052] It can be understood that the communication process in this application includes but is not limited to the reception and / or transmission of signals, data, and information.

[0053] There are many reasons for the degradation of wireless network performance, such as mutual interference between multiple APs using the same frequency band and the impact of obstacles in space on transmission signals. Therefore, there is a need to optimize the wireless network. For example, by optimizing the network parameters of the AP, local or global network performance can be optimized. Currently, the objects usually optimized include one or more of the AP's operating frequency, bandwidth, and transmit power. In addition, higher-level optimization involves optimizing parameters such as the number of multiple input multiple output (MIMO) streams of the AP, the back-off power at different speeds, the spatial division multiplexing configuration, or the resource block (RU) spectrum utilization configuration.

[0054] Currently, two approaches are commonly used to obtain wireless network coverage for optimization. The first involves using drive test equipment to conduct actual measurements after network deployment, thereby adjusting the parameters of wireless network access points. In this approach, the drive test equipment performs mobile measurements within the network deployment area, optimizing the network based on its location and the network coverage at that location. However, changes in the network environment require re-measurement, resulting in high investment costs and a lengthy optimization process. The second approach involves deploying telemetry equipment throughout the network to continuously monitor the network and adjust the parameters of wireless network access points based on the monitoring results. This second approach involves installing fixed telemetry equipment at specific locations within the deployment scenario and recording their locations. This equipment provides real-time coverage at the location of the telemetry equipment, allowing network optimization and adjustments based on the coverage provided by the telemetry equipment. This approach provides real-time, long-term feedback on actual network coverage, but it only provides information at the location of the telemetry equipment, resulting in suboptimal adjustments to wireless network access point parameters.

[0055] Therefore, the above-mentioned current network optimization solutions 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.

[0056] 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 measurements 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 obtained 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 obtained 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 enhanced. In the present application, the signal quality can be represented by power and / or signal-to-noise ratio.

[0057] The following describes the implementation of this method with reference to the process shown in Figure 2. The method may be performed by an access controller. It will be appreciated that Figure 2 illustrates an example in which a terminal device is a STA, a wireless network access point is an AP, and an access controller is an AC. In actual applications, the STA may be replaced with another terminal device or device having the same or corresponding functions, the AP may be replaced with another wireless access device or device having the same or corresponding functions, and / or the AC may be replaced with another control device or device having system or corresponding functions.

[0058] As shown in FIG2 , an embodiment of the present application provides a method for modifying parameters of a wireless network access point, which may include the following steps:

[0059] 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.

[0060] In step 101, one or more APs may measure a STA to obtain its location information. For example, a single AP may locate the STA; multiple APs may locate the STA separately, and the STA's location information may be determined by weighting the positioning results of the multiple APs; or multiple APs may jointly measure and determine the STA's location.

[0061] It is understood that the STA in this 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.

[0062] The method for obtaining the STA location information in step 101 will be described below in conjunction with an embodiment, which will not be expanded here.

[0063] Step 102: The AC determines the analog signal quality at the location of the STA based on the location information of the STA, wherein the analog signal quality is calculated based on the initial network transmission model.

[0064] 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 used to represent signal quality that changes with signal transmission distance.

[0065] 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 information such as AP frequency, power, bandwidth, and space division multiplexing based on the self-positioning information between APs combined with 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 in use in the network. When the network environment changes, the accuracy of the simulation parameters obtained by simulation based on 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.

[0066] 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 may include one or more of the following: a propagation attenuation factor, which represents the attenuation of a signal during propagation; a random variable related to the signal propagation path; and an attenuation parameter caused by obstructions along the signal propagation path.

[0067] As another example, the initial network transmission model may be a network transmission model that has undergone one or more parameter adjustments. In this case, the parameters in the initial network transmission model may be parameters that have been adjusted one or more times based on 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 adjustments may be used as the initial network transmission model. The method for adjusting the parameters previously described may be described in step 104, or a method other than that described in the present application may be used.

[0068] 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. This simulated power value is an example of simulated signal quality.

[0069] It is understood that the simulated signal quality may represent the simulated signal quality of the target AP's signal when it reaches the STA's location. Therefore, optionally, the simulated signal quality may be determined based on at least the STA's location information and the target AP's location information. In the present application, the target AP is an AP whose parameters are to be adjusted. For example, the current scenario includes AP1, AP2, and AP3, and the target AP may be one of AP1, AP2, and AP3. If AP1, AP2, and AP3 need to be optimized separately, AP1, AP2, and AP3 may be selected as target APs, respectively. That is, the network parameters of one AP are adjusted at a time until the network optimization for the current scenario is completed after adjusting the network parameters of all APs at least once.

[0070] The initial network transmission model and its parameters in step 102 will be introduced below in conjunction with embodiments.

[0071] Step 103: The AC determines the actual measurement signal quality obtained by the STA.

[0072] 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.

[0073] In one possible embodiment, in an example of step 103, the target AP may obtain a measured power value of the signal sent by the target AP when it reaches the STA based on signal transmission between the STA and the target AP, and use this value as the measured power value of the AP obtained by the STA. For example, the measured power value is a signal information measurement value representing signal power, such as a received signal strength indicator (RSSI) or a reference signal reception quality (RSRQ). The target AP may also send the measured power value to the AC. In other embodiments, the STA may also measure the signal sent by the AP to obtain the measured power value; further, the STA may send the measured power value to the AC via the AP.

[0074] This application also does not exclude the AC from obtaining the measurement value of the target AP signal measured at the STA position as the measured power value through other means (such as measurement by other equipment other than the STA).

[0075] Step 104: The AC adjusts 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.

[0076] In step 104, the AC may adjust the parameters in the initial network transmission model based on the simulated signal quality obtained in step 102 and the measured signal quality actually measured by the STA, thereby adjusting the network transmission model to a network transmission model with the adjusted parameters. For example, the AC may determine whether to adjust the parameters in the initial network transmission model and / or how to adjust the parameters in the initial network transmission model based on the difference between the simulated signal quality and the actual measured signal quality. Optionally, the difference between the simulated signal quality obtained from the adjusted network transmission model and the actual measured signal quality satisfies a set condition, for example, the difference between the two is less than or equal to a threshold, which may be referred to as a first threshold. That is, when the adjustment to the transmission of the initial network transmission model causes the difference between the simulated signal quality and the actual measured signal quality to be less than or equal to the first threshold, the parameter adjustment meets the adjustment requirements, i.e., the parameter adjustment is complete. The first threshold may be an absolute value; alternatively, the first threshold may be a variable value determined based on the simulated signal quality or the actual measured signal quality and a set ratio. In this application, the difference may refer to the absolute value of the difference.

[0077] Still taking the example of the initial network transmission model being 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 and / or decide how to adjust the parameters in the initial network transmission model based on the difference between the simulated power value and the measured power value.

[0078] The following will introduce the method of obtaining the adjusted network transmission model in step 104 in conjunction with an embodiment.

[0079] Step 105: The AC corrects the parameters of the AP according to the simulation parameters obtained by adjusting the network transmission model simulation.

[0080] In the present application, the simulation parameters may include the simulated signal quality or simulated signal-to-noise ratio at the target location obtained by simulating the adjusted network transmission model. The simulated signal quality can be used to represent the simulated signal quality at any location within the scenario. For example, the simulation is a simulated power value, which can be used to represent the simulated power coverage at any location. Furthermore, the simulated signal-to-noise ratio can be used to represent the simulated signal-to-noise ratio at any location. The simulated signal-to-noise ratio can be determined based on the simulated power value.

[0081] The target location is any location in the network scenario. For example, in an office scenario, the target location could be a crowded location such as an office area. Alternatively, the target location could be a location with poor signal quality, determined based on the scenario. It is understood that the target location can be the STA's current location or a location other than the STA's current location.

[0082] In step 105, the AC may modify the AP parameters based on the difference between the simulated parameters of the adjusted network transmission model at the target location and the preset values ​​at the target location. The preset values ​​at the target location may correspond to the signal coverage level expected at the target location, for example, the expected signal power value or the expected signal-to-noise ratio.

[0083] Optionally, if the simulation parameter is a simulated SNR, the AC can adjust the AP parameters based on the difference between the simulated SNR at the STA's location and the measured SNR at the STA's location. In this case, the target location is the STA's location, so the AP parameters can be adjusted based on the STA's measured SNR, resulting in better parameter correction and further improved network optimization performance.

[0084] It will be understood that the present application does not exclude the comprehensive adjustment of AP parameters 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.

[0085] Optionally, the measured signal-to-noise ratio involved in step 105 can be determined based on the channel state information (CSI) between the STA and the target AP and the actual measured signal quality between the STA and each AP, to further improve the accuracy of AP parameter correction. The actual measured signal quality can be the measured power value obtained by the STA measuring the signal transmitted by each AP. The method for determining the actual measured signal quality is described below in the description of step 103.

[0086] The following will introduce the method of correcting the parameters of the AP in step 105 in conjunction with an embodiment.

[0087] Step 101 is described below.

[0088] In step 101, the AP may perform signal measurement during signal transmission with the STA to determine the location information of the STA based on the signal information obtained by the measurement.

[0089] Among them, the signal information in this application may include RSSI, RSRQ, angle of arrival (English: Angle of Arrival, abbreviated as AOA) or fine timing measurement (English: Fine Timing Measurements, abbreviated as FTM), or other signal-related parameters that can be used to measure the distance between the STA and the AP.

[0090] Taking RSSI as an example, as the relative position between a STA and the AP changes, the RSSI value of the STA's signal received by the AP will change accordingly. Therefore, based on the RSSI value of the STA's signal received by the AP, the STA's signal transmit power, signal attenuation parameters, and other information, the distance between the AP and the STA at the time of signal transmission can be inferred, achieving ranging. Therefore, based on the first signal strategy information, the relative position between the STA and the AP can be accurately determined. Optionally, the AP can measure multiple signals transmitted by the STA to obtain multiple RSSIs, and then obtain the RSSI corresponding to the STA through filtering and / or averaging. Filtering can mean discarding invalid RSSI values, such as those that are too small, or taking the n largest RSSI values ​​to improve positioning efficiency, where n is a positive integer. Averaging can mean averaging the RSSI values ​​of the same STA's signal collected multiple times to improve reliability.

[0091] The principle of STA positioning based on RSRQ measurement is similar to that based on RSSI. Furthermore, during wireless signal transmission, different antenna array signals with different propagation angles and ranges will receive signals with a time difference. 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.

[0092] In addition, FTM is related to the transmission time of the signal between the transmitter and the receiver, so 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.

[0093] 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. The AC determines the distance between the AP and the STA based on the RSSI and information such as the STA's transmission power, and can further determine the location information of the STA based on the distance.

[0094] For example, the AC can determine the simulated RSSI value of the STA signal received by the AP at different distances based on information that affects the signal measurement results, such as the STA's transmission power and the loss during signal transmission. Alternatively, the AC can be configured with a correspondence between the distance and the simulated RSSI value. The AC can compare the RSSI actually measured by the AP with the simulated RSSI values ​​at different distances, determine the closest simulated RSSI value, 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 RSSI value can be obtained based on machine learning (ML) or based on experience, which is not specifically limited in this application.

[0095] It is 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.

[0096] In the above embodiment, before the AP sends the 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 can locate the STA based on the identifier of the STA to be located. The AC can 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 can be provided to the AC by the STA during the registration process. Optionally, during the registration process, the AC can also obtain the approximate location information of the STA, such as information about the AP to which the STA accesses or low-precision location information. For example, if only some STAs need to be located, the AC can select some STAs based on the approximate locations of all STAs, for example, filtering out STAs whose locations overlap or are close to other STAs, so as to save measurement overhead.

[0097] In addition, in this embodiment, after determining the distances between the multiple APs and the STA respectively, the AC may further 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.

[0098] Taking Figure 3 as an 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) based on STA1's RSSI, the distance between STA2 and AP1 (denoted as d21) based on STA2's RSSI, and the distance between STA3 and AP1 (denoted as d31) based on STA3's RSSI. 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).

[0099] The AC can also determine the STA's location based on the distances between multiple APs and the STA and the known location information of multiple APs in the scene. For example, taking the location of STA1 in Figure 3 as an example, in one example, the AC can select intersection points on circles with AP1, AP2, and AP3 as centers and radii d11, d12, and d13 as radius, and determine STA1's location based on the intersection points.

[0100] It is understandable that AC may also obtain the location information of STA2 and STA3 in a similar manner.

[0101] In another possible embodiment, one possible method for the AC to obtain STA location information includes: having the positioning AP perform the AC's function of determining STA location information in the previous possible embodiment. For example, an AP with STA location capabilities (e.g., a positioning AP) can collect RSSIs of STA signals measured by other APs, and / or the positioning AP can measure the RSSIs of signals transmitted by STAs. The positioning AP then determines the distance between the positioning AP and the STA to be located based on the RSSIs measured by itself and / or other APs, the STA's transmit power, and signal transmission loss. The positioning AP then calculates the location information of the STA to be located based on its own and / or other APs' location information and the distance between the AP and the STA to be located determined based on the RSSIs. The positioning AP can also send the location information of the STA to be located to the AC, allowing the AC to obtain the location information. In this embodiment, the method for determining the distance between other APs or the positioning AP and the STA to be located, as well as the method for determining the STA's location information based on the distance and the AP's location information, can be similar to the previous embodiment, except that the execution entity is changed from the AC to the positioning AP.

[0102] Optionally, the AP location information in this application may use the AP's set location information set when the AP is deployed. Furthermore, the AP's location information may also be obtained based on AP self-positioning, such as by performing AP positioning based on measurement of signal information between two APs, for example, by correcting preset AP set location information based on measurement of signal information between two APs. Optionally, the AP's set location information may be included in computer-aided design (CAD) data for the scenario design.

[0103] 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 located transmits a signal, and other APs collect the signal from the AP to be located and obtain signal information such as RSSI, AoA, RSRQ, or FTM to determine the distance between APs. Furthermore, the location of the AP can be determined based on the distance between APs. For example, the set location information of multiple APs deployed in a wireless network scenario can be combined with the distance between APs obtained based on signal measurements to calibrate the set location information of the APs, achieving high-precision positioning of the APs.

[0104] It can be understood that the above AP positioning method is an exemplary description, and this application does not limit the use of other methods to determine the location information of the AP.

[0105] It can also be understood that the above-mentioned method of STA positioning based on signal information such as RSSI, RSRQ, AoA or FTM is merely an exemplary description, and the present application is not limited to determining the STA location information based on signal strategy information using only the above-mentioned method. 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 AP's location information can be used as inputs to the ML model, and the output result of the ML model is the STA's location information, wherein the ML model can be obtained through training based on existing data. In addition, in step 101, the STA's location information can also be determined based on other STA high-precision positioning solutions based on signal information in the prior art.

[0106] Step 102 is described below.

[0107] In this application, the parameters of the network transmission model are related to the transmission path within the network scenario. That is, different transmission paths may have different parameters. The transmission path, which can be simply referred to as a path, is the signal propagation route between the target location (or other arbitrary location) and the AP within the network scenario. The target location can be a potential STA location, or it can be the location where the STA is located.

[0108] Taking the location of STA1 as the target location as an example, as shown in Figure 3, the path corresponding to STA1 may include the path d11 for AP1 to send signals to STA1, the path d12 for AP2 to send signals to STA1, and the path d13 for AP3 to send signals to STA1. It can be understood that when studying the signal coverage of a certain STA's location, it is necessary to consider the transmission loss of the signals of each AP received by the STA, and therefore, 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 referred to as the jth path, j = 1, 2, ... K+1, and K is a positive integer greater than 1.

[0109] Optionally, the parameters of the initial network transmission model for different transmission paths may be related to obstacles present along the paths in real-world scenarios. As shown in Figure 4, obstacles (shown in black rectangles) vary across different paths in real-world scenarios, and these obstacles at least affect attenuation parameters. Therefore, the parameters of the initial network transmission model can be set based on the CAD data of the real-world scenario. This CAD data, for example, includes characteristics such as the size, position, and signal obstruction or reflection parameters of obstructions such as walls within the scene. This data can be used to determine loss information such as penetration loss for each transmission path. Therefore, the attenuation parameters for each obstacle within the scene can be determined based on the CAD data, and the attenuation parameters for the path can be determined based on the obstacles traversed by the path. For example, as shown in Figure 4, an obstacle between AP1 and STA3 may increase signal transmission loss. Therefore, the attenuation parameters between STA3 and AP1 can be set based on the CAD data related to the obstacle. However, there is no obstacle between AP1 and STA1, so the attenuation parameter between AP1 and STA1 due to the obstacle can be zero or a set value.

[0110] As an example, for the target location, the initial network transmission model PL may satisfy the following formula (1):

[0111] 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 transmitter 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 the 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, in Figure 4, there is a wall between AP1 and STA3, meaning the number of obstructions is 1.

[0112] Optionally, the diffraction loss, emission loss and / or penetration loss of different obstructions may be different. 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 obstructions.

[0113] 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.

[0114] In step 102, the AC may use the STA's location as the target location to determine an initial network transmission model corresponding to the STA's location and determine the simulated signal quality based on the initial network transmission model. The initial network transmission model corresponding to the STA's location may satisfy formula (1). In this case, j in formula (1) represents the jth path of the STA, i.e., the path between the STA and the jth AP among the multiple APs; d represents the distance between the STA and the target AP, i.e., d is determined based on the STA's location information and the target AP's location information.

[0115] For example, taking the analog signal quality as an analog power value, the analog power value P is determined according to the STA location information. r The following formula (2) can be satisfied:

[0116] 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.

[0117] 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 for adjusting the parameters in the initial network transmission model and obtaining the adjusted network transmission model according to the simulated signal quality and the actual measured signal quality 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 size relationship between the difference and the second threshold value for determining P 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 .

[0118] The second threshold can be a set absolute value, such as 5dB; it can also be based on a set ratio and P r or P r The determined value and the set ratio are, for example, 10%, etc., without specific limitation. It is understood that the absolute value corresponding to the first threshold in this application may 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 may be the same as or different from the set ratio corresponding to the second threshold, without specific limitation.

[0119] 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 When the difference between ' is less than the second threshold, it indicates that there is no need to adjust the parameters of the initial network transmission model. In this case, the initial network transmission model is the adjusted network transmission model.

[0120] 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 value 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 rWhen the difference between ' exceeds the second threshold by a small margin, the AC may adjust the parameters of the initial network transmission model by a small margin.

[0121] 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 containing 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 are changed. r ” and P r The relationship between the difference between ' and the first threshold value is used to 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 value, it means that the adjustment requirements are met, and the network transmission model is adjusted; if the difference is greater than the first threshold value, 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 parameter list until they meet the adjustment requirements.

[0122] For example, the measured values ​​P of AP1, AP2, and AP3 measured by STA1 are 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.

[0123] Step 105 is described below.

[0124] 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 formula (2) 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. In addition, the AC may obtain a preset power value at the target location and adjust the parameters of the target AP based on 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 of the target AP may be increased to achieve correction of the parameters of the target AP.

[0125] Similarly, the simulation parameter is the 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 the preset signal-to-noise ratio value.

[0126] The simulated signal-to-noise ratio SNR can satisfy the following formula (3): SNR = P r / (∑ k (P rk )),

[0127] Among them, P r Indicates the simulated power value determined according to the STA's 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 adjustment requirements.

[0128] 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.

[0129] 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 based on the measured signal-to-noise ratio of the STA location. The measured signal-to-noise ratio can satisfy formula (4): SNR'=P r ' / (∑ k (P rk '))*Msnr,

[0130] 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 ' can refer to the description in step 103. k (P rk Msnr represents the sum of the measured power of the transmitted signals of K APs other than the target AP at the STA location. Msnr is related to the CSI measurement value between the STA and the target AP.

[0131] For example, Msnr satisfies the following formula (5): Msnr=(∑ p T*det(CSIp)) / N,

[0132] In formula (5), CSIp represents the measured CSI value of the pth subcarrier between the target AP and the STA. det() represents the rank calculation. 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.

[0133] The target AP can measure the channel between the target AP and the STA during signal transmission with the STA to obtain the CSIp. Alternatively, the STA can measure the CSI and feed the measurement result, CSIp, back to the target AP. It is understood that the CSI measurement method is not limited to the scope of this application. After obtaining the CSIp, the target AP can send the CSIp to the AC, so that the AC can obtain the CSIp.

[0134] A method for further modifying the parameters of the target AP based on the measured signal-to-noise ratio at the STA location includes, for example, the AC adjusting the network transmission model to determine a simulated signal-to-noise ratio (SNR), which satisfies formula (3). Furthermore, an SNR' is obtained through measurement that satisfies formula (4). The parameters of the target AP are further modified based on the difference between the SNR and SNR'. For example, when the SNR is greater than the SNR', the target AP's transmit power is increased to improve the measured signal-to-noise ratio at the STA location, thereby achieving better network performance.

[0135] 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 optimization based on the traditional 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.

[0136] Based on the above embodiments, the AC can estimate the simulated SNR of the target AP based on the positioning of the STA. The AC can also correct the simulated SNR based on power measurement results and / or CSI measurement results between the AC and the AP to improve the accuracy of the simulated SNR. Furthermore, the AC can optimize the target AP's network parameters based on the simulated SNR to improve global network performance.

[0137] Based on the same inventive concept as the above-mentioned method embodiment, the present application also provides a device for modifying parameters of a wireless network access point. This device can be used to perform the actions described in the above-mentioned method embodiment. In this embodiment, the device structure can be as shown in Figure 5. As shown in Figure 5, the present application exemplarily provides a device for modifying parameters of a wireless network access point, including an acquisition module 501 and a processing module 502.

[0138] An acquisition module 501 is configured to acquire location information of a terminal device, where the location information of the terminal device is measured by a wireless network access point;

[0139] A processing module 502 is configured to determine, based on the location information of the terminal device, the analog signal quality at the location of the terminal device, where the analog signal quality is calculated based on an initial network transmission model;

[0140] The processing module 502 is further configured to determine the quality of the actual measurement signal obtained by measurement;

[0141] The processing module 502 is further configured to adjust 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;

[0142] The processing module 502 is further configured to modify the parameters of the wireless network access point according to the simulation parameters obtained by simulating the adjusted network transmission model.

[0143] Optionally, the processing module 502 is specifically configured 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.

[0144] 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.

[0145] 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.

[0146] Optionally, the processing module 502 is specifically configured to modify parameters of the target wireless network access point according to a difference between a simulation parameter of the adjusted network transmission model at the target location and a preset value at the target location.

[0147] 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 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.

[0148] 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.

[0149] Based on the same inventive concept as the above method embodiment, an electronic device is also provided in an 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 shown in Figure 6, including a memory 601 and one or more processors 602.

[0150] Memory 601 is used to store computer programs executed by processor 602. Memory 601 may mainly include a program storage area and a data storage area. The program storage area may store an operating system and programs required for running instant messaging functions, while the data storage area may store various instant messaging messages and operating instruction sets.

[0151] Memory 601 may be a volatile memory, such as a random-access memory (RAM); a non-volatile memory, such as a read-only memory, a flash memory, a hard disk drive (HDD), or a solid-state drive (SSD); or any other medium capable of carrying or storing desired program code in the form of instructions or data structures and accessible by a computer, but is not limited thereto. Memory 601 may be a combination of the above-mentioned memories.

[0152] The processor 602 may include one or more central processing units (CPUs) or digital processing units, etc. The processor 602 is configured to implement the above method when calling the computer program stored in the memory 601 .

[0153] The specific connection medium between the memory 601 and the processor 602 is not limited in the embodiments of the present application. As an example, in FIG6 , the memory 601 and the processor 602 are connected via a bus 603, which is represented by a bold line in FIG6 . The connection methods between other components are merely illustrative and are not intended to be limiting. Bus 603 can be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, FIG6 shows only a single bold line, but this does not mean that there is only one bus or only one type of bus.

[0154] Optionally, the processor 602 may be configured to execute any one or more of the actions performed by the acquisition module 501 and the processing module 502 .

[0155] According to one aspect of the present application, a computer program product or computer program is provided, the computer program product or computer program including computer instructions stored in a computer-readable storage medium. A processor of a computer device reads the computer instructions from the computer-readable storage medium and executes the computer instructions, causing the computer device to perform the method of the above-described embodiment.

[0156] The program product may employ 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 thereof. More specific examples of readable storage media (a non-exhaustive list) include: an electrical connection having 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 thereof.

[0157] The above is only a specific implementation method of the present application, but the scope of protection of the present application is not limited thereto. Any technician familiar with this technical field can easily think of changes or replacements within the technical scope disclosed in this application, which should be covered by the scope of protection of the present application.

Claims

1. A method for modifying parameters of a target access point AP, applied to an access point controller AC, comprising: Acquire location information of a terminal device, where the location information of the terminal device is measured by a wireless network access point AP; 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 target AP are modified according to the simulation parameters obtained by adjusting the network transmission model simulation.

2. The method of claim 1, wherein: The step of modifying the parameters of the target AP according to the simulation parameters obtained by adjusting the network transmission model simulation includes: The parameters of the target AP 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.

3. The method of claim 2, wherein: The simulation parameters include a simulation power value.

4. The method of claim 3, wherein: The step of modifying the parameters of the target AP according to the simulation parameters obtained by adjusting the network transmission model simulation includes: If the simulated power value is less than the preset power value, the transmit power value of the target AP is increased.

5. The method of claim 2, wherein: The simulation parameters include: a simulation signal-to-noise ratio.

6. The method of claim 5, wherein: The modifying of the parameters of the target AP according to the simulation parameters obtained by adjusting the network transmission model simulation includes: if the simulation signal-to-noise ratio is less than a preset signal-to-noise ratio value, increasing the value of the transmit power of the target AP.

7. The method according to any one of claims 5-6, wherein: The simulation signal-to-noise ratio satisfies: SNR = P r / (∑ k (P rk )), Wherein, SNR represents the simulation signal-to-noise ratio, P r represents the simulated power value determined according to the location information of the terminal device, P rk represents the simulated power of the signal sent by the kth AP at the location of the terminal device, k=1, 2, ..., K, K is the number of other APs in the scene except the target AP, ∑ k (P rk ) represents the sum of the simulated power values ​​of the sending signals of the K APs other than the target AP at the location of the terminal device.

8. The method of claim 7, wherein: The target location is the location of the terminal device, and the AC further corrects the target AP according to the measured signal-to-noise ratio of the location of the terminal.

9. The method of claim 1, wherein: The parameters in the initial network transmission model include one or more of the following: The propagation attenuation factor is used to indicate the attenuation of the signal during the propagation process; A random variable associated with the path the signal travels; or Attenuation parameter caused by obstructions on the signal propagation path.

10. The method of claim 9, wherein: The initial network transmission model is a signal power fading model.

11. The method of claim 1, wherein: The location information of the terminal device is obtained by measuring the wireless network AP, including: The wireless network AP 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 AP measures the received signal strength indication RSSI of the terminal device, and determines the location information of the terminal device according to the RSSI.

12. The method of claim 1 or 11, wherein: The location information of the terminal device is obtained by measuring the wireless network AP, including: jointly measuring by a plurality of the wireless network APs to determine the location of the terminal device.

13. The method of claim 1, wherein: 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.

14. The method of claim 1, wherein: 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 target AP according to the simulation parameters obtained by adjusting the network transmission model simulation includes: The parameters of the target AP 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.

15. The method of claim 14, wherein: The measured signal-to-noise ratio of the location of the terminal device comprises: The signal-to-noise ratio is determined according to the channel state information between the terminal device and the wireless network AP and the actual measured signal quality.

16. A parameter correction device for a target access point AP, comprising: The acquisition module is used to obtain the location information of the terminal device. The location information of the terminal device is obtained through the wireless network AP. Measured; 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 configured to adjust 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; and The processing module is further used to correct the parameters of the target AP according to the simulation parameters obtained by simulating the adjusted network transmission model.

17. The device of claim 16, wherein: The processing module is specifically used to correct the parameters of the target 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.

18. The device of claim 17, wherein: The simulation parameters include: Simulate power value; or simulate signal-to-noise ratio.

19. An electronic device comprising a processor and a memory, wherein: The memory stores program codes, and when the program codes are executed by the processor, the processor is enabled to execute the steps of any one of the methods of claims 1 to 15.

20. A computer-readable storage medium comprising a program code, wherein when the program code is executed on an electronic device, the program code is used to enable the electronic device to execute the steps of any one of the methods of claims 1 to 15.

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