CN116233908A

CN116233908A - Interference processing method, device, medium and equipment applied to wireless local area network

Info

Publication number: CN116233908A
Application number: CN202111470023.5A
Authority: CN
Inventors: 萧维廷; 文振兴; 刘泓昊
Original assignee: Tencent Technology Shenzhen Co Ltd
Current assignee: Tencent Technology Shenzhen Co Ltd
Priority date: 2021-12-03
Filing date: 2021-12-03
Publication date: 2023-06-06

Abstract

The embodiment of the application provides an interference processing method, device, medium and equipment applied to a wireless local area network. The interference processing method comprises the following steps: in an interference environment of the wireless local area network, measuring interference index information generated by an interference source aiming at target equipment to obtain an index measurement result; generating a statistical result of the index characteristic value according to the index measurement result, wherein the statistical result of the index characteristic value comprises an interference signal characteristic value statistical result and an experience index characteristic value statistical result; and constructing a simulation environment corresponding to the interference environment according to the interference signal characteristic values contained in the interference signal characteristic value statistical result so as to enable the experience index measured value in the simulation environment to be matched with the experience index characteristic value statistical result. The technical scheme of the embodiment of the application can restore the interference environment of the wireless local area network in a laboratory environment so as to realize the development of the wireless local area network technology and the performance evaluation of the wireless local area network equipment in the restored interference environment.

Description

Interference processing method, device, medium and equipment applied to wireless local area network

Technical Field

The present invention relates to the field of computers and communications technologies, and in particular, to an interference processing method, device, medium, and apparatus applied to a wireless local area network.

Background

In the development and evaluation process of Wi-Fi (Wireless Fidelity ) technology, performance of Wi-Fi equipment in an air interface interference environment is required to be tested, but a stable interference environment capable of being used for testing Wi-Fi equipment is required to be tested, so that how to construct the air interface interference environment meeting testing requirements is a technical problem to be solved.

Disclosure of Invention

The embodiment of the application provides an interference processing method, device, medium and equipment applied to a wireless local area network, which can restore the interference environment of the wireless local area network in a laboratory environment so as to realize the development of the wireless local area network technology and the performance evaluation of the wireless local area network equipment in the restored interference environment.

Other features and advantages of the present application will be apparent from the following detailed description, or may be learned in part by the practice of the application.

In a first aspect, an embodiment of the present application provides an interference processing method applied to a wireless local area network, including: in an interference environment of the wireless local area network, measuring interference index information generated by an interference source aiming at target equipment to obtain an index measurement result; generating a statistical result of the index characteristic values according to the index measurement result, wherein the statistical result of the index characteristic values comprises an interference signal characteristic value statistical result and an experience index characteristic value statistical result; and constructing a simulation environment corresponding to the interference environment according to the interference signal characteristic value contained in the interference signal characteristic value statistical result so as to enable the experience index measured value in the simulation environment to be matched with the experience index characteristic value statistical result.

In a second aspect, an embodiment of the present application provides an interference processing apparatus applied to a wireless local area network, including: the measuring unit is configured to measure interference index information generated by an interference source aiming at target equipment in an interference environment of the wireless local area network to obtain an index measurement result; the generation unit is configured to generate a statistical result of the index characteristic value according to the index measurement result, wherein the statistical result of the index characteristic value comprises an interference signal characteristic value statistical result and an experience index characteristic value statistical result; and the processing unit is configured to construct a simulation environment corresponding to the interference environment according to the interference signal characteristic value contained in the interference signal characteristic value statistical result so as to enable the experience index measured value in the simulation environment to be matched with the experience index characteristic value statistical result.

In some embodiments of the present application, based on the foregoing scheme, the indicator measurements include interference signal measurements and experience indicator measurements; the interference signal measurement includes at least one of the following information: the method comprises the steps of generating the number of wireless local area network devices interfering with target devices, generating signal emission intensity of the wireless local area network devices interfering with the target devices, channel utilization rate of wireless local area network channels where the target devices are located, signal to noise ratio of the wireless local area network channels where the target devices are located, error vector magnitude EVM of the wireless local area network channels where the target devices are located, packet error rate of the wireless local area network connected with the target devices, data flow of the wireless local area network generating interference with the target devices, signal intensity of non-wireless local area network generating interference with the target devices and bandwidth of the non-wireless local area network generating interference with the target devices.

In some embodiments of the present application, based on the foregoing solution, the interference signal characteristic value statistics include characteristic statistics of wireless local area network interference signals, where the characteristic statistics include at least one of the following: channel utilization, signal to noise ratio, error vector magnitude.

In some embodiments of the present application, based on the foregoing solution, the interference signal characteristic value statistics include characteristic measurement values of wireless local area network interference signals, where the characteristic measurement values include at least one of the following: the number of interfering wlan devices, the maximum signal strength of the interfering wlan devices, the bandwidth most used in the interfering wlan devices, the total traffic used by the interfering wlan devices.

In some embodiments of the present application, based on the foregoing, the wireless local area network interference signal includes at least one of: co-channel interference signals, adjacent channel interference signals and overlapping channel interference signals.

In some embodiments of the present application, based on the foregoing solution, the interference signal characteristic value statistics include characteristic statistics of non-wireless local area network interference signals, where the characteristic statistics of the non-wireless local area network interference signals include: the bandwidth distribution and the corresponding signal intensity of the non-wireless local area network interference signals in each set time interval.

In some embodiments of the present application, based on the foregoing scheme, the generating unit is configured to: dividing the non-wireless local area network interference signals according to the average signal intensity to obtain at least one average signal intensity in each set time interval, and obtaining the frequency width corresponding to each average signal intensity; and generating the bandwidth distribution and the corresponding signal intensity of the non-wireless local area network interference signal in each set time interval according to the bandwidth corresponding to each average signal intensity in each set time interval.

In some embodiments of the present application, based on the foregoing solution, the experience index feature value statistics include at least one of the following: the method comprises the steps of determining the blocking rate of an application program running in target equipment, the average video frame delay of the application program running in the target equipment and the average control response time of the application program running in the target equipment.

In some embodiments of the present application, based on the foregoing solution, the processing unit is configured to: configuring matched equipment and parameters of the equipment according to the characteristic measurement value of the wireless local area network interference signal and the characteristic statistic value of the non-wireless local area network interference signal contained in the interference signal characteristic value statistic result so as to construct a simulation environment corresponding to the interference environment; measuring experience indexes of the appointed application programs in the simulation environment to obtain experience index measurement values; and adjusting the configured equipment and/or parameters of the equipment according to the experience index measured value and the experience index characteristic value statistical result so as to enable the experience index measured value in the simulation environment to be matched with the experience index characteristic value statistical result.

In some embodiments of the present application, based on the foregoing solution, the processing unit is configured to: configuring matched equipment and parameters of the equipment according to the characteristic statistical value of the wireless local area network interference signal contained in the interference signal characteristic value statistical result so as to construct a simulation environment corresponding to the interference environment; measuring experience indexes of the appointed application programs in the simulation environment to obtain experience index measurement values; and adjusting the configured equipment and/or parameters of the equipment according to the experience index measured value and the experience index characteristic value statistical result so as to enable the experience index measured value in the simulation environment to be matched with the experience index characteristic value statistical result.

In some embodiments of the present application, based on the foregoing scheme, the measurement unit is configured to: in a plurality of interference environments of a wireless local area network, respectively measuring interference index information generated by an interference source in each interference environment aiming at target equipment to obtain index measurement results corresponding to each interference environment, so as to generate statistical results of index characteristic values corresponding to each interference environment according to the index measurement results corresponding to each interference environment; the interference processing method further comprises the following steps: and recording the statistical result of the index characteristic values corresponding to the interference environments.

In some embodiments of the present application, based on the foregoing scheme, the measurement duration of the interference indicator information is inversely related to the interference stability of the interference environment.

According to an aspect of the embodiments of the present application, there is provided a computer readable medium having stored thereon a computer program which, when executed by a processor, implements an interference processing method applied to a wireless local area network as described in the above embodiments.

In a third aspect, an embodiment of the present application provides an electronic device, including: one or more processors; and a storage device configured to store one or more programs that, when executed by the one or more processors, cause the electronic device to implement the interference processing method applied to the wireless local area network as described in the above embodiments.

In a fourth aspect, embodiments of the present application provide a computer program product or computer program comprising computer instructions stored in a computer readable storage medium. The processor of the computer device reads the computer instructions from the computer-readable storage medium, and the processor executes the computer instructions, so that the computer device performs the interference processing method applied to the wireless local area network provided in the above-mentioned various alternative embodiments.

In the technical solutions provided in some embodiments of the present application, by measuring, in an interference environment of a wireless local area network, interference index information generated by an interference source for a target device, an index measurement result is obtained, so that a statistics result of an index feature value can be generated according to the index measurement result, and a simulation environment corresponding to the interference environment is constructed according to an interference signal feature value included in the interference signal feature value statistics result, so that an experience index measurement value in the simulation environment is matched with the experience index feature value statistics result. Therefore, the technical scheme of the embodiment of the application can realize the simulation of the interference environment by measuring the interference index information in the interference environment and the simulation of the interference environment by the measurement result, so that the interference environment of the wireless local area network can be restored in the laboratory environment, the playback effect of the interference environment is constructed, and the development of the wireless local area network technology and the performance evaluation of the wireless local area network equipment are facilitated in the restored interference environment.

Drawings

Fig. 1 shows a schematic diagram of an application scenario in which the technical solution of the embodiments of the present application may be applied;

fig. 2 shows a schematic diagram of an application scenario in which the technical solution of the embodiments of the present application may be applied;

Fig. 3 shows a schematic diagram of an application scenario in which the technical solution of the embodiments of the present application may be applied;

fig. 4 shows a flow chart of an interference handling method applied to a wireless local area network according to one embodiment of the present application;

FIG. 5 illustrates a flow chart of constructing a simulation environment corresponding to an interference environment in accordance with one embodiment of the present application;

FIG. 6 illustrates a flow chart of constructing a simulation environment corresponding to an interference environment in accordance with one embodiment of the present application;

fig. 7 shows a block diagram of an interference handling device applied to a wireless local area network according to one embodiment of the present application;

fig. 8 shows a schematic diagram of a computer system suitable for use in implementing the electronic device of the embodiments of the present application.

Detailed Description

Example embodiments are now described in a more complete manner with reference being made to the figures. However, the illustrated embodiments may be embodied in various forms and should not be construed as limited to only these examples; rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of the example embodiments to those skilled in the art.

Furthermore, the described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. In the following description, numerous specific details are set forth in order to provide a thorough understanding of embodiments of the present application. However, it will be recognized by one skilled in the art that the present application may be practiced without all of the specific details of the embodiments, that one or more specific details may be omitted, or that other methods, components, devices, steps, etc. may be used.

The block diagrams depicted in the figures are merely functional entities and do not necessarily correspond to physically separate entities. That is, the functional entities may be implemented in software, or in one or more hardware modules or integrated circuits, or in different networks and/or processor devices and/or microcontroller devices.

The flow diagrams depicted in the figures are exemplary only, and do not necessarily include all of the elements and operations/steps, nor must they be performed in the order described. For example, some operations/steps may be decomposed, and some operations/steps may be combined or partially combined, so that the order of actual execution may be changed according to actual situations.

It should be noted that: references herein to "a plurality" means two or more. "and/or" describes an association relationship of an association object, meaning that there may be three relationships, e.g., a and/or B may represent: a exists alone, A and B exist together, and B exists alone. The character "/" generally indicates that the context-dependent object is an "or" relationship.

It will be appreciated that in the specific embodiments of the present application, related data such as experience index features are involved, when the embodiments of the present application are applied to specific products or technologies, user permission or consent is required, and the collection, use and processing of related data is required to comply with related laws and regulations and standards of related countries and regions.

The wireless local area network (Wireless Local Area Network, abbreviated as WLAN) refers to a network system that uses wireless communication technology to interconnect computer devices to form a network system that can communicate with each other and realize resource sharing. The wireless local area network is essentially characterized in that a computer is not connected with a network by using a communication cable, but is connected in a wireless mode, so that the construction of the network and the movement of a terminal are more flexible, for example, a Station (STA) in Wi-Fi is connected with an Access Point (AP) in a wireless mode, and data interaction is performed in a wireless communication mode. Because the wireless communication is adopted, the problem of air interface interference is very easy to occur, and application programs for analyzing interference in Wi-Fi air interface environments appear in the related technology, wherein the application programs can be operated on a smart phone or in a computer.

In general, an application program for analyzing interference in a Wi-Fi air interface environment scans Wi-Fi full-band (2.4 GHz and 5 GHz) or partial-band using an API (Application Programming Interface, application program interface) interface of an operating system, and monitors and analyzes Wi-Fi Beacon frames sent by an AP device, so that information of other AP devices (AP devices connected to non-monitoring devices) running on the same space in the same period, such as SSID (Service Set Identifier ), working channel, bandwidth (e.g., 20/40/80 MHz), supported Wi-Fi standards (b/g/n, ac, ax), signal strength, and the number of STAs connected to the AP device, etc., can be obtained. Some application programs for analysis can correlate the data with the AP connected with the data, analyze the number of devices and interference intensity of the same-frequency, adjacent-frequency and overlapping-frequency interference, and give scores; some applications that perform analysis perform ping (Packet Internet Groper, internet packet explorer) tests on servers of commonly used websites (e.g., video websites, shopping websites, etc.) using the Wi-Fi network that is currently connected, thereby analyzing the congestion level in the Wi-Fi air interface environment.

The scheme has good effect on interference analysis in Wi-Fi air interface environment, the intelligent equipment can change the connected AP again according to the channel surrounding interference condition of the connected AP so as to avoid an interference source, or select the AP with lower load to be accessed again, but the mode is convenient for selecting a better network, and has no great help on evaluating network efficiency and developing Wi-Fi technology by constructing the interference environment in a laboratory or in different scenes in the future.

Meanwhile, a technical scheme of constructing an interference environment through attenuation and blocking of an AP signal is also proposed in the related art, and an interference source comprises signal shielding between the AP and the STA caused by blocking of a building (such as a wall) and furniture (such as a table, a sofa and the like) besides other Wi-Fi signals. In order to restore the interference environment, physical signal attenuation (such as an attenuator is externally added on an antenna of the AP) or path attenuation (such as one or two walls are added between the AP and the STA in a test environment, or the distance between the AP and the STA is prolonged) needs to be constructed at the AP side, so that the effect of simulating the interference environment is achieved. Another way to simulate interference is to send TCP (Transmission Control Protocol )/UDP (User Datagram Protocol, user packet protocol) packets over the air by other Wi-Fi devices on the operating band of the AP to which the test device is connected, or directly send non-Wi-Fi signals using a signal generator to construct the interference signal.

However, the technical scheme of constructing the interference environment through attenuation and blocking of the AP signal can achieve the effect of generating interference to a certain extent on Wi-Fi equipment to be detected, but the interference is only dependent on different interference degrees in a self-defining manner, and cannot realize refined and accurate control. If three different interference degrees are set, the strong interference uses three groups of Wi-Fi devices to send TCP or UDP data streams, the middle interference uses two groups of Wi-Fi devices to send TCP or UDP data streams, and the weak interference uses one group of Wi-Fi devices to send TCP or UDP data streams. Of course, different interference intensity configurations on some objective indexes (such as Wi-Fi channel utilization rate, signal to noise ratio and the like) can be expressed as increasing or decreasing along with the interference intensity, so as to reflect a specific interference degree, however, the interference degree cannot be compared with an actual application scene (such as an interference environment in a home scene and an interference environment in an office), and the interference environment in the actual application scene cannot be accurately restored, so that the application effect is limited.

Based on the above, the embodiment of the application provides a complete Wi-Fi interference scene recording, analyzing and simulating and restoring technical scheme. According to the method, the interference degree of the recorded original scene can be simulated offline in a laboratory environment according to the numerical value of the recorded and analyzed characteristic variable, different combinations of the same-frequency signal, the adjacent-frequency signal, the overlapping-frequency signal and the non-Wi-Fi interference signal are sent out by a plurality of devices, the interference scene is restored, and further the development tasks of Wi-Fi device performance evaluation and performance tuning technology under the same interference scene are achieved.

Specifically, in an application scenario of the present application, as shown in fig. 1, in an indoor environment, there are different degrees of interference in the indoor environment due to the presence of furniture blocking and interference of other Wi-Fi devices (such as routers). In order to measure specific interference situations, the test device 102 may be connected to a designated router 101 (i.e. an access point device), and then measures interference index information generated by an interference source in an indoor environment for the test device 102 to obtain an index measurement result, and further generates a statistics result of index feature values according to the index measurement result, where the statistics result of the index feature values includes an interference signal feature value statistics result and an experience index feature value statistics result.

The foregoing indicator measurement results may include an interference signal measurement result and an experience indicator measurement result, where the interference signal measurement result may include at least one of the following information: the number of wireless local area network devices (e.g., wi-Fi devices) that interfere with the test device 102, the signal transmission strength of the wireless local area network devices that interfere with the test device 102, the channel utilization of the wireless local area network channel in which the test device 102 is located, the signal to noise ratio of the wireless local area network channel in which the test device 102 is located, the error vector magnitude (Error Vector Magnitude, abbreviated EVM) of the wireless local area network channel in which the test device 102 is located, the packet error rate (Packet Error Rate, abbreviated PER) of the wireless local area network to which the test device 102 is connected, the wireless local area network data stream traffic that interferes with the test device 102, the signal strength of the non-wireless local area network that interferes with the test device 102, and the bandwidth of the non-wireless local area network that interferes with the test device 102.

Alternatively, the interference signal characteristic value statistics may include characteristic statistics of the wireless local area network interference signal, and the characteristic statistics may be, for example, channel utilization, signal-to-noise ratio, error vector magnitude, and the like. The interference signal characteristic value statistics may include characteristic measurements of wireless local area network interference signals, which may include: the number of interfering wlan devices, the maximum signal strength of the interfering wlan devices, the bandwidth most used in the interfering wlan devices, the total traffic used by the interfering wlan devices.

The aforementioned wlan interference signals may be co-channel interference signals, adjacent channel interference signals and overlapping channel interference signals of the Wi-Fi network to which the test device 102 is connected.

Optionally, the interference signal characteristic value statistics result further includes a characteristic statistics value of a non-wireless local area network interference signal, where the characteristic statistics value of the non-wireless local area network interference signal includes: the bandwidth distribution and the corresponding signal intensity of the non-wireless local area network interference signals in each set time interval. The non-wireless local area network interference signal may be, for example, an interference signal of a mobile communication network (e.g., a 4G/5G network).

After the interference signal characteristic value statistical result and the experience index characteristic value statistical result are obtained, a simulation environment corresponding to the indoor environment can be constructed according to the interference signal characteristic value contained in the interference signal characteristic value statistical result, so that the experience index measured value in the simulation environment is matched with the experience index characteristic value statistical result. After constructing a simulation environment corresponding to the indoor environment, development of wireless local area network technology and performance evaluation of wireless local area network equipment can be performed in the constructed simulation environment.

In addition to the indoor environment, as shown in fig. 2, various interferences exist in the conference room environment, so that after the test device 201 is connected to a designated router (i.e., an access point device), interference index information generated by an interference source in the conference room environment for the test device 201 can be measured, an index measurement result is obtained, and further, a statistics result of index feature values including an interference signal feature value statistics result and an experience index feature value statistics result is generated according to the index measurement result. After the interference signal characteristic value statistical result and the experience index characteristic value statistical result are obtained, a simulation environment corresponding to the conference room environment can be constructed according to the interference signal characteristic value contained in the interference signal characteristic value statistical result, so that the experience index measured value in the simulation environment is matched with the experience index characteristic value statistical result. After constructing a simulation environment corresponding to the conference room environment, development of wireless local area network technology and performance evaluation of wireless local area network equipment can be performed in the constructed simulation environment.

As shown in fig. 3, various interferences exist in the office environment, so after the test device 301 is connected to a designated router (i.e., an access point device), interference index information generated by an interference source in the office environment for the test device 301 is measured, an index measurement result is obtained, and a statistics result of index feature values including an interference signal feature value statistics result and an experience index feature value statistics result is generated according to the index measurement result. After the interference signal characteristic value statistical result and the experience index characteristic value statistical result are obtained, a simulation environment corresponding to the office environment can be constructed according to the interference signal characteristic value contained in the interference signal characteristic value statistical result, so that the experience index measured value in the simulation environment is matched with the experience index characteristic value statistical result. After constructing a simulation environment corresponding to the office environment, development of wireless local area network technology and performance evaluation of wireless local area network equipment can be performed in the constructed simulation environment.

Of course, for other environments, such as subway station environments, high-speed mobile environments (such as environments in vehicles) and the like, measurement can be performed through the technical scheme of the embodiment of the application, and corresponding simulation environments are constructed, so that development of wireless local area network technology and performance evaluation of wireless local area network equipment can be performed through the constructed simulation environments in experiments.

The implementation details of the technical solutions of the embodiments of the present application are described in detail below:

fig. 4 shows a flowchart of an interference processing method applied to a wireless local area network, which may be performed by a device or system having a computing processing function, according to one embodiment of the present application. Referring to fig. 4, the interference processing method applied to the wireless lan at least includes steps S410 to S430, and is described in detail as follows:

in step S410, in the interference environment of the wireless local area network, the interference index information generated by the interference source for the target device is measured, and an index measurement result is obtained.

In one embodiment of the present application, the interference environment of the wireless local area network may be, for example, an indoor environment, an office environment, a subway station environment, a high-speed mobile environment, or the like. Optionally, interference index information generated by an interference source in each interference environment for the target device can be measured in a plurality of interference environments of the wireless local area network respectively to obtain index measurement results corresponding to each interference environment, and further statistics results of index characteristic values corresponding to each interference environment can be generated according to the index measurement results corresponding to each interference environment, so that simulation environments corresponding to each interference environment can be constructed later, and development of wireless local area network technology and performance evaluation of the wireless local area network device can be performed in different constructed simulation environments.

It should be noted that: the target device is the selected device to measure the signal interference experienced. Alternatively, the target device may be a wireless local area network device, such as a site device implemented by a smart phone, computer, or the like.

Optionally, the indicator measurements include interference signal measurements and experience indicator measurements. The interference signal measurement result is a result used for representing the measurement of the related index of the interference signal, and can be an interference signal of a wireless local area network or an interference signal of a non-wireless local area network; the experience index measurement result is used for representing the experience index measurement result, such as a click through rate, of an application program (such as a video application, a game application, etc.) under the corresponding interference environment.

It should be noted that: the wireless local area network interference signal includes at least one of: co-channel interference signals, adjacent channel interference signals and overlapping channel interference signals. The interference signal of the non-wireless local area network may be, for example, a signal of a mobile communication network (e.g., 4G, 5G, etc.), etc.

Optionally, the interference signal measurement comprises at least one of the following information: the method comprises the steps of generating the number of wireless local area network devices interfering with target devices, generating signal emission intensity of the wireless local area network devices interfering with the target devices, generating channel utilization rate of wireless local area network channels of the target devices, generating signal-to-noise ratio of the wireless local area network channels of the target devices, generating error vector magnitude EVM of the wireless local area network channels of the target devices, generating packet error rate of the wireless local area network connected with the target devices, generating wireless local area network data flow of the interference with the target devices, generating signal intensity of non-wireless local area network interfering with the target devices and generating bandwidth of the non-wireless local area network interfering with the target devices.

Optionally, the number of wireless lan devices that generate interference to the target device, the signal emission intensity of the wireless lan devices that generate interference to the target device, the channel utilization rate of the wireless lan channel where the target device is located, the signal-to-noise ratio of the wireless lan channel where the target device is located, the error vector magnitude EVM of the wireless lan channel where the target device is located, the packet error rate of the wireless lan to which the target device is connected, and the like may be measured by obtaining beacon frame data of Wi-Fi APs of different channels based on Wi-Fi scanning APIs provided in an operating system of the device.

The wireless local area network data flow which generates interference to the target equipment can respectively carry out air-interface packet capturing on different channels through a plurality of packet capturing software (such as Wi-Fi air-interface sniffer) to measure. The signal strength of the non-wireless local area network that interferes with the target device and the bandwidth of the non-wireless local area network that interferes with the target device may be measured using a spectrum analyzer that supports 2.4GHz and 5GHz reviews.

In one embodiment of the present application, the measurement duration of the interference indicator information is inversely related to the interference stability of the interference environment. That is, if the stability of an interference environment is poor, it means that the signal interference condition in the interference environment varies greatly, so that a long time is required for measurement in order to obtain more accurate interference index information; on the contrary, if the stability of an interference environment is better, it means that the signal interference condition inside the interference environment has smaller variation, and more accurate interference index information can be obtained without measuring longer time under the condition. The technical scheme of the embodiment enables the measurement duration to be flexibly adjusted according to the interference stability of the interference environment, and further improves the measurement efficiency on the premise of guaranteeing the measurement accuracy of the interference index information.

With continued reference to fig. 4, in step S420, statistics of the index feature values are generated according to the measured index measurement result, where the statistics of the index feature values include statistics of interference signal feature values and statistics of experience index feature values.

In one embodiment of the present application, the interference signal characteristic value statistics include characteristic statistics of the wireless local area network interference signal, where the characteristic statistics are obtained by statistics according to measurement results, for example, the characteristic statistics may include at least one of the following: channel utilization, signal to noise ratio, error vector magnitude. The characteristic statistical value of the wireless local area network interference signal comprises one or more of characteristic statistical value of the same-frequency interference signal, characteristic statistical value of adjacent-frequency interference signal and characteristic statistical value of overlapping-frequency interference signal.

In one embodiment of the present application, the interference signal characteristic value statistics include a characteristic measurement value of the wireless local area network interference signal, where the characteristic measurement value is a value directly obtained by measurement, for example, the characteristic measurement value may include at least one of the following: the number of interfering wlan devices, the maximum signal strength of the interfering wlan devices, the bandwidth most used in the interfering wlan devices, the total traffic used by the interfering wlan devices. The characteristic measurement value of the wireless local area network interference signal comprises one or more of a characteristic measurement value of the same-frequency interference signal, a characteristic measurement value of an adjacent-frequency interference signal and a characteristic measurement value of an overlapping-frequency interference signal.

In an embodiment of the present application, the interference signal characteristic value statistics may further include a characteristic statistics value of a non-wireless local area network interference signal, where the characteristic statistics value of the non-wireless local area network interference signal is obtained by statistics of measurement results of the non-wireless local area network interference signal. Optionally, the characteristic statistics of the non-wireless local area network interference signal include: the bandwidth distribution and the corresponding signal intensity of the non-wireless local area network interference signals in each set time interval.

In one embodiment of the present application, for a non-wireless local area network interference signal, when generating a statistics result of an index feature value according to an index measurement result, at least one average signal strength may be obtained according to an average signal strength of the non-wireless local area network interference signal in each set time interval, and a bandwidth corresponding to each average signal strength is obtained, and then a bandwidth distribution and a corresponding signal strength of the non-wireless local area network interference signal in each set time interval are generated according to a bandwidth corresponding to each average signal strength in each set time interval.

For example, a set time interval may be 0-5 seconds, and the bandwidth corresponding to an average signal strength of-43 dBm in the 0-5 seconds interval is 5020Mhz-5050Mhz; the bandwidth corresponding to the average signal strength of-48 dBm is 5220Mhz-5247Mhz; the average signal strength is-53 dBm and the corresponding bandwidth is 5410Mhz-5493Mhz. After obtaining the bandwidths corresponding to the average signal intensities in the set time intervals, the bandwidth distribution and the corresponding signal intensities of the non-wireless local area network interference signals in the set time intervals can be generated according to the bandwidths corresponding to the average signal intensities in the set time intervals.

In one embodiment of the present application, the experience index feature value statistics include at least one of: the method comprises the steps of determining the click-through rate of an application program running in a target device, the average video frame delay of the application program running in the target device and the average control reaction time of the application program running in the target device. Alternatively, the application running in the target device may be a cloud video application, a game application, or the like.

In an embodiment of the present application, if, for a plurality of interference environments, index measurement results corresponding to each interference environment are measured respectively, and statistics results of index feature values corresponding to each interference environment are generated according to the index measurement results corresponding to each interference environment, statistics results of index feature values corresponding to each interference environment may be recorded, so that a corresponding simulation environment is constructed according to the statistics results of index feature values corresponding to each interference environment.

In step S430, a simulation environment corresponding to the interference environment is constructed according to the interference signal characteristic value included in the interference signal characteristic value statistics result, so that the experience index measurement value in the simulation environment is matched with the experience index characteristic value statistics result.

An embodiment of constructing a simulation environment corresponding to the interference environment in the present application is described below with reference to fig. 5 and 6:

as shown in fig. 5, the process of constructing a simulation environment corresponding to the interference environment according to the interference signal eigenvalue included in the interference signal eigenvalue statistic result may include the following steps:

step S510, according to the characteristic measurement value of the wireless local area network interference signal and the characteristic statistic value of the non-wireless local area network interference signal contained in the interference signal characteristic value statistic result, configuring matched equipment and parameters of the equipment to construct a simulation environment corresponding to the interference environment.

Specifically, if the number of wireless lan devices generating interference in the characteristic measurement value of the wireless lan interference signal is 3, for example, 3 wireless lan devices may be configured, and parameters of the devices may be configured according to specific signal strength and the like.

Step S520, after the simulation environment corresponding to the interference environment is constructed, the experience index of the specified application program is measured in the constructed simulation environment, and the experience index measurement value is obtained.

It should be noted that: the designated application may be an application targeted when generating the experience index feature value statistics, such as measuring and generating for a cloud video application when generating the experience index feature value statistics, then the designated application may be a cloud video application; the designated application may be a gaming application if the experience index feature value statistics were measured and generated for the gaming application at the time the experience index feature value statistics were generated.

And step S530, adjusting the configured equipment and/or parameters of the equipment according to the experience index measured value and the experience index characteristic value statistical result so as to enable the experience index measured value and the experience index characteristic value statistical result in the simulation environment to be matched.

Alternatively, the matching of the experience index measurement value and the experience index feature value statistic result in the simulation environment may be that the experience index measurement value and the data in the experience index feature value statistic result in the simulation environment are the same, or the error between them is within a set error range.

As shown in fig. 6, the process of constructing a simulation environment corresponding to the interference environment according to the interference signal eigenvalue included in the interference signal eigenvalue statistic result may include the following steps:

step S610, according to the feature statistics of the WLAN interference signals contained in the interference signal feature statistics result, configuring matched equipment and parameters of the equipment to construct a simulation environment corresponding to the interference environment.

Specifically, since the characteristic statistical value of the wireless local area network interference signal is a numerical value obtained by statistics, the number of devices to be configured may not be limited as long as a simulation environment matching the characteristic statistical value of the wireless local area network interference signal can be finally constructed.

Step S620, after the simulated environment corresponding to the interference environment is constructed, the experience index of the specified application program is measured in the constructed simulated environment, and the experience index measurement value is obtained.

Step S630, the parameters of the configured equipment and/or the equipment are adjusted according to the experience index measurement value and the experience index feature value statistical result so as to enable the experience index measurement value and the experience index feature value statistical result in the simulation environment to be matched.

The foregoing describes the implementation process of the embodiments of the present application, and in order to further describe the details of the embodiments of the present application, the following details are described in connection with specific application scenarios:

in a specific application scenario of the present application, the processing for Wi-Fi air interface interference environments may be divided into three main flows: the method comprises the steps of collecting and recording interference environments, intercepting and quantifying the characteristics of the interference environments, and playing back and reproducing according to the interference characteristic variables. The following are respectively described:

the collection and recording of the interference environment is mainly to measure and record the interference index data in the interference environment. Specifically, the goal of the collection is to obtain the intensities of the same-frequency interference, adjacent-frequency interference, overlapping-frequency interference, and four interference dimensions of non-Wi-Fi signal interference for the current Wi-Fi connection (the current Wi-Fi connection refers to Wi-Fi connected to the target device selected for measuring the signal interference condition).

In Wi-Fi environment, there is a technical feature of CSMA/CA (Carrier Sense Multiple Access with Collision Avoid, carrier sense multiple access with collision avoidance) air interface contention, where CSMA/CA is an algorithm for avoiding collision of data transmission between stations, specifically, before transmitting data, if a channel is detected to be idle, waiting for a period of time, then detecting whether the channel is idle again, if it is still idle, immediately transmitting data, otherwise, waiting for a certain time at random, and detecting channel state again after expiration of an equal time. For this technical feature, the collection of interference may include the following: the number of Wi-Fi devices interfered, the signal strength sent by the Wi-Fi devices interfered, the channel utilization rate/signal to noise ratio/EVM of the current channel, the packet error rate of the current Wi-Fi connection, the data flow of Wi-Fi interference signals, the signal strength and approximate bandwidth of non-Wi-Fi interference signals, experience indexes (such as a cartoon rate and a control reaction time) of application programs (such as cloud video application) and the like.

The above-mentioned points, the number of interfering Wi-Fi devices, the signal strength transmitted by the interfering Wi-Fi devices, the channel utilization/signal-to-noise ratio/EVM of the current channel, the packet error rate of the current Wi-Fi connection, etc. may be recorded by obtaining beacon frame data of Wi-Fi APs of different channels based on a Wi-Fi scanning API provided in the operating system of the device. The data flow of Wi-Fi interference signals can be recorded by carrying out air interface packet capturing on different channels through a plurality of packet capturing software (such as Wi-Fi air interface sniffer). The signal strength and approximate bandwidth of non-Wi-Fi interfering signals may be recorded using a spectrum analyzer supporting 2.4GHz and 5GHz reviews. The experience index of the application may record data of the application background server (e.g., record background data of the cloud video application server).

It should be noted that: the recording time of the index data can be set according to the requirement, and in order to ensure certain characteristic interception efficiency, the scene with larger disturbance environment variation (such as a subway scene) can be longer than the recording time of the scene with smaller disturbance environment variation (such as a family scene).

After the collection and recording of the interference environment, the next step is to intercept and quantify the characteristics of the interference environment, which can be divided into four types of data: firstly, counting the same-frequency, adjacent-frequency and overlapping-frequency interference recording values of Wi-Fi; secondly, wi-Fi is used for recording direct measurement results of values of the same-frequency, adjacent-frequency and overlapping-frequency interference; thirdly, the characteristic value of the non-Wi-Fi interference signal; fourth, the experience index value of the application.

The statistics result of the co-frequency, adjacent frequency and overlapping frequency interference recording values of Wi-Fi is a result value obtained by using a calculation formula by a chip or software and hardware of Wi-Fi equipment, and is not a value obtained by direct measurement, such as channel utilization rate/signal to noise ratio/EVM, and the characterization may be performed by obtaining an average number of the calculation result values or other statistics data (such as a maximum value and a standard deviation) in the recording time. One example of statistics of co-channel, adjacent channel, and overlapping interference recording values for Wi-Fi is shown in table 1 below:

interference type	Channel utilization	Signal to noise ratio	Error vector magnitude EVM
				Co-channel interference	32.1％	13dB	-18dB
Adjacent channel interference	18.2％	16dB	-2dB
				Interference of overlapping frequencies	20.5％	20dB	-6dB

TABLE 1

In table 1, specific values in the statistics of the recorded values of co-frequency interference, adjacent frequency interference and overlapping frequency interference of Wi-Fi are average values in the measurement process.

The direct measurement results of the co-frequency, adjacent frequency and overlapping frequency interference recording values of Wi-Fi can be obtained directly through measurement, such as the number of the interfered Wi-Fi devices, the signal strength of the interfered Wi-Fi devices, the frequency width of the interfered Wi-Fi devices, the data flow of Wi-Fi interference signals and the like. One specific example is shown in table 2:

TABLE 2

The characteristic value of the non-Wi-Fi interference signal can be used to represent the continuous signal strength of the non-Wi-Fi interference signal in the time domain and the frequency domain, and specifically can be characterized into a bandwidth distribution and a signal strength distribution in a selected time granularity, as shown in table 3, the non-Wi-Fi interference signal can be divided into three time periods (only by way of example, in other embodiments of the present application, the non-Wi-Fi interference signal can be divided into any number of time periods), and then the bandwidth corresponding to the strongest average signal strength in each time period is selected and recorded as bandwidth distribution 1; then continuously selecting the frequency width corresponding to the average signal strength of the second strength, and marking the frequency width as the frequency width distribution 2; the bandwidth profile corresponding to the first 3 (by way of example only, any number may be selected in other embodiments of the present application) average signal strengths ordered by signal strength is sequentially selected for recording. As shown in table 3:

TABLE 3 Table 3

The experience index values of the application program can be data recorded from an application program background server, for example, the application program background server can be a cloud video application background server, and the values can be recorded directly without being characterized, for example, as shown in the following table 4:

katon rate	Average video frame delay	Average control reaction time
			1.27％	4.5ms	3.2ms

TABLE 4 Table 4

After the feature interception and quantization processing of the interference environment is completed, playback and reproduction processing can be performed according to the interference feature variable, that is, a simulated interference environment can be constructed, and the following methods of reproduction processing are listed:

interference with one of the environmental playback and reproduction modes: the simulation environment approximating the experience index values shown in table 4 was constructed using the foregoing tables 2 and 3, and reproduction of the disturbance environment was achieved.

Specifically, the characteristic variables shown in table 2 are used for reproduction of Wi-Fi interference environment, firstly, the number of devices with equal number is configured in a laboratory environment according to the number of devices with co-frequency/adjacent frequency/overlapping frequency interference, then, the bandwidths of the co-frequency/adjacent frequency/overlapping frequency interference devices are respectively configured, and data streams (such as TCP data streams or UDP data streams) are sent on the devices, so that the total flow rate of the interference data streams of each frequency band is equal to that recorded in table 2.

The characteristic variables shown in table 3 are used for reproducing the non-Wi-Fi signal interference environment, and the full-band signal generator capable of operating at 2.4G/5GHz is used, so that according to the time periods of table 3, the frequency bandwidth distribution and the frequency spectrum transmission configuration of average signal intensity are adjusted at the beginning of each time period, and the effect of reproducing the non-Wi-Fi signal interference environment is achieved.

After the interference environment is reappeared, background data of the application program server is verified, the relation between the actual experience index value and the user experience data value shown in the table 4 is confirmed, if the difference is large, partial characteristic variables in the table 2 and the table 3 can be properly adjusted, the actual experience index value is close to the user experience data value shown in the table 4 as much as possible, and then a simulation environment matched with the actual interference environment can be constructed.

Interference with the second mode of playback and reproduction: the simulated environment approximating the experience index values shown in table 4 was constructed using the disturbance environment characteristic variables shown in table 1, to achieve reproduction of the disturbance environment.

The characteristic variables shown in table 1 are used for representing interference result values in the same-frequency/adjacent-frequency/superimposed-frequency environment, are calculated according to a formula, and objectively represent the interference degree. Therefore, in the reproduction of a laboratory scene, a combination of Wi-Fi equipment and a full-band signal generator capable of operating at 2.4G/5GHz can be used, the number, bandwidth and flow of the equipment are not limited, and the aim is to construct a characteristic numerical result similar to that shown in table 1.

After the interference environment is reappeared, background data of the application program server is verified, the relation between the actual experience index value and the user experience data value shown in the table 4 is confirmed, if the difference is large, part of characteristic variables in the table 1 can be properly adjusted, the actual experience index value is as close as possible to the user experience data value shown in the table 4, and then a simulation environment matched with the actual interference environment can be constructed.

In summary, the technical scheme of the embodiment of the application can record the interference index data of various interference environments (such as indoor environments, office environments, subway station environments and high-speed mobile environments), so that the interference environments of the wireless local area network can be restored in a laboratory environment, playback effects of the interference environments are constructed, and development of wireless local area network technology and performance evaluation of the wireless local area network equipment are facilitated in the restored interference environments.

The following describes an embodiment of an apparatus of the present application, which may be used to execute the interference processing method applied to the wlan in the foregoing embodiment of the present application. For details not disclosed in the embodiments of the apparatus of the present application, please refer to the embodiments of the interference processing method applied to the wlan described in the present application.

Fig. 7 shows a block diagram of an interference processing apparatus applied to a wireless local area network, which may be provided in a device or system having a calculation processing function, according to one embodiment of the present application.

Referring to fig. 7, an interference processing apparatus 700 applied to a wireless local area network according to an embodiment of the present application includes: a measurement unit 702, a generation unit 704 and a processing unit 706.

The measurement unit 702 is configured to measure, in an interference environment of the wireless local area network, interference index information generated by an interference source for a target device, so as to obtain an index measurement result; the generating unit 704 is configured to generate a statistical result of the index feature value according to the index measurement result, where the statistical result of the index feature value includes an interference signal feature value statistical result and an experience index feature value statistical result; the processing unit 706 is configured to construct a simulation environment corresponding to the interference environment according to the interference signal feature value included in the interference signal feature value statistics, so as to match the experience index measurement value in the simulation environment with the experience index feature value statistics.

In some embodiments of the present application, based on the foregoing scheme, the generating unit 704 is configured to: dividing the non-wireless local area network interference signals according to the average signal intensity to obtain at least one average signal intensity in each set time interval, and obtaining the frequency width corresponding to each average signal intensity; and generating the bandwidth distribution and the corresponding signal intensity of the non-wireless local area network interference signal in each set time interval according to the bandwidth corresponding to each average signal intensity in each set time interval.

In some embodiments of the present application, based on the foregoing scheme, the processing unit 706 is configured to: configuring matched equipment and parameters of the equipment according to the characteristic measurement value of the wireless local area network interference signal and the characteristic statistic value of the non-wireless local area network interference signal contained in the interference signal characteristic value statistic result so as to construct a simulation environment corresponding to the interference environment; measuring experience indexes of the appointed application programs in the simulation environment to obtain experience index measurement values; and adjusting the configured equipment and/or parameters of the equipment according to the experience index measured value and the experience index characteristic value statistical result so as to enable the experience index measured value in the simulation environment to be matched with the experience index characteristic value statistical result.

In some embodiments of the present application, based on the foregoing scheme, the processing unit 706 is configured to: configuring matched equipment and parameters of the equipment according to the characteristic statistical value of the wireless local area network interference signal contained in the interference signal characteristic value statistical result so as to construct a simulation environment corresponding to the interference environment; measuring experience indexes of the appointed application programs in the simulation environment to obtain experience index measurement values; and adjusting the configured equipment and/or parameters of the equipment according to the experience index measured value and the experience index characteristic value statistical result so as to enable the experience index measured value in the simulation environment to be matched with the experience index characteristic value statistical result.

In some embodiments of the present application, based on the foregoing scheme, the measurement unit 702 is configured to: in a plurality of interference environments of a wireless local area network, respectively measuring interference index information generated by an interference source in each interference environment aiming at target equipment to obtain index measurement results corresponding to each interference environment, so as to generate statistical results of index characteristic values corresponding to each interference environment according to the index measurement results corresponding to each interference environment; the interference processing method further comprises the following steps: and recording the statistical result of the index characteristic values corresponding to the interference environments.

It should be noted that, the computer system 800 of the electronic device shown in fig. 8 is only an example, and should not impose any limitation on the functions and the application scope of the embodiments of the present application.

As shown in fig. 8, the computer system 800 includes a central processing unit (Central Processing Unit, CPU) 801 that can perform various appropriate actions and processes, such as performing the methods described in the above embodiments, according to a program stored in a Read-Only Memory (ROM) 802 or a program loaded from a storage section 808 into a random access Memory (Random Access Memory, RAM) 803. In the RAM 803, various programs and data required for system operation are also stored. The CPU 801, ROM 802, and RAM 803 are connected to each other by a bus 804. An Input/Output (I/O) interface 805 is also connected to bus 804.

The following components are connected to the I/O interface 805: an input portion 806 including a keyboard, mouse, etc.; an output portion 807 including a Cathode Ray Tube (CRT), a liquid crystal display (Liquid Crystal Display, LCD), and the like, and a speaker, and the like; a storage section 808 including a hard disk or the like; and a communication section 809 including a network interface card such as a LAN (Local Area Network ) card, modem, or the like. The communication section 809 performs communication processing via a network such as the internet. The drive 810 is also connected to the I/O interface 805 as needed. A removable medium 811 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is mounted on the drive 810 as needed so that a computer program read out therefrom is mounted into the storage section 808 as needed.

In particular, according to embodiments of the present application, the processes described above with reference to flowcharts may be implemented as computer software programs. For example, embodiments of the present application include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising a computer program for performing the method shown in the flowchart. In such an embodiment, the computer program may be downloaded and installed from a network via the communication section 809, and/or installed from the removable media 811. When executed by a Central Processing Unit (CPU) 801, the computer program performs the various functions defined in the system of the present application.

It should be noted that, the computer readable medium shown in the embodiments of the present application may be a computer readable signal medium or a computer readable storage medium, or any combination of the two. The computer readable storage medium can be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples of the computer-readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-Only Memory (ROM), an erasable programmable read-Only Memory (Erasable Programmable Read Only Memory, EPROM), 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 foregoing. In the context of this document, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In the present application, however, a computer-readable signal medium may include a data signal propagated in baseband or as part of a carrier wave, with a computer-readable computer program embodied therein. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination of the foregoing. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. A computer program embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wired, etc., or any suitable combination of the foregoing.

The flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present application. Where each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams or flowchart illustration, and combinations of blocks in the block diagrams or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.

The units involved in the embodiments of the present application may be implemented by means of software, or may be implemented by means of hardware, and the described units may also be provided in a processor. Wherein the names of the units do not constitute a limitation of the units themselves in some cases.

As another aspect, the present application also provides a computer-readable medium that may be contained in the electronic device described in the above embodiment; or may exist alone without being incorporated into the electronic device. The computer-readable medium carries one or more programs which, when executed by the electronic device, cause the electronic device to implement the methods described in the above embodiments.

It should be noted that although in the above detailed description several modules or units of a device for action execution are mentioned, such a division is not mandatory. Indeed, the features and functions of two or more modules or units described above may be embodied in one module or unit, in accordance with embodiments of the present application. Conversely, the features and functions of one module or unit described above may be further divided into a plurality of modules or units to be embodied.

From the above description of embodiments, those skilled in the art will readily appreciate that the example embodiments described herein may be implemented in software, or may be implemented in software in combination with the necessary hardware. Thus, the technical solution according to the embodiments of the present application may be embodied in the form of a software product, which may be stored in a non-volatile storage medium (may be a CD-ROM, a usb disk, a mobile hard disk, etc.) or on a network, and includes several instructions to cause a computing device (may be a personal computer, a server, a touch terminal, or a network device, etc.) to perform the method according to the embodiments of the present application.

Other embodiments of the present application will be apparent to those skilled in the art from consideration of the specification and practice of the embodiments disclosed herein. This application is intended to cover any variations, uses, or adaptations of the application following, in general, the principles of the application and including such departures from the present disclosure as come within known or customary practice within the art to which the application pertains.

It is to be understood that the present application is not limited to the precise arrangements and instrumentalities shown in the drawings, which have been described above, and that various modifications and changes may be effected without departing from the scope thereof. The scope of the application is limited only by the appended claims.

Claims

1. An interference processing method applied to a wireless local area network, comprising:

in an interference environment of the wireless local area network, measuring interference index information generated by an interference source aiming at target equipment to obtain an index measurement result;

generating a statistical result of the index characteristic values according to the index measurement result, wherein the statistical result of the index characteristic values comprises an interference signal characteristic value statistical result and an experience index characteristic value statistical result;

and constructing a simulation environment corresponding to the interference environment according to the interference signal characteristic value contained in the interference signal characteristic value statistical result so as to enable the experience index measured value in the simulation environment to be matched with the experience index characteristic value statistical result.

2. The interference processing method applied to a wireless local area network according to claim 1, wherein the index measurement results include an interference signal measurement result and an experience index measurement result; the interference signal measurement includes at least one of the following information:

the method comprises the steps of generating the number of wireless local area network devices interfering with target devices, generating signal emission intensity of the wireless local area network devices interfering with the target devices, channel utilization rate of wireless local area network channels where the target devices are located, signal to noise ratio of the wireless local area network channels where the target devices are located, error vector magnitude EVM of the wireless local area network channels where the target devices are located, packet error rate of the wireless local area network connected with the target devices, data flow of the wireless local area network generating interference with the target devices, signal intensity of non-wireless local area network generating interference with the target devices and bandwidth of the non-wireless local area network generating interference with the target devices.

3. The interference processing method applied to a wireless local area network according to claim 1, wherein the interference signal characteristic value statistics include characteristic statistics of wireless local area network interference signals, and the characteristic statistics include at least one of the following: channel utilization, signal to noise ratio, error vector magnitude.

4. The interference processing method applied to a wireless local area network according to claim 1, wherein the interference signal characteristic value statistics include characteristic measurement values of wireless local area network interference signals, the characteristic measurement values including at least one of: the number of interfering wlan devices, the maximum signal strength of the interfering wlan devices, the bandwidth most used in the interfering wlan devices, the total traffic used by the interfering wlan devices.

5. The interference processing method applied to a wireless local area network according to claim 3 or 4, wherein the wireless local area network interference signal includes at least one of: co-channel interference signals, adjacent channel interference signals and overlapping channel interference signals.

6. The interference processing method applied to a wireless local area network according to claim 1, wherein the interference signal characteristic value statistics result includes characteristic statistics values of non-wireless local area network interference signals, and the characteristic statistics values of the non-wireless local area network interference signals include: the bandwidth distribution and the corresponding signal intensity of the non-wireless local area network interference signals in each set time interval.

7. The interference processing method applied to a wireless local area network according to claim 6, wherein generating statistics of index feature values according to the index measurement results comprises:

dividing the non-wireless local area network interference signals according to the average signal intensity to obtain at least one average signal intensity in each set time interval, and obtaining the frequency width corresponding to each average signal intensity;

and generating the bandwidth distribution and the corresponding signal intensity of the non-wireless local area network interference signal in each set time interval according to the bandwidth corresponding to each average signal intensity in each set time interval.

8. The interference processing method applied to a wireless local area network according to claim 1, wherein the experience index feature value statistics include at least one of: the method comprises the steps of determining the blocking rate of an application program running in target equipment, the average video frame delay of the application program running in the target equipment and the average control response time of the application program running in the target equipment.

9. The interference processing method applied to a wireless local area network according to claim 1, wherein constructing a simulation environment corresponding to the interference environment according to an interference signal characteristic value included in the interference signal characteristic value statistics result so that an experience index measurement value in the simulation environment matches with the experience index characteristic value statistics result, includes:

Configuring matched equipment and parameters of the equipment according to the characteristic measurement value of the wireless local area network interference signal and the characteristic statistic value of the non-wireless local area network interference signal contained in the interference signal characteristic value statistic result so as to construct a simulation environment corresponding to the interference environment;

measuring experience indexes of the appointed application programs in the simulation environment to obtain experience index measurement values;

and adjusting the configured equipment and/or parameters of the equipment according to the experience index measured value and the experience index characteristic value statistical result so as to enable the experience index measured value in the simulation environment to be matched with the experience index characteristic value statistical result.

10. The interference processing method applied to a wireless local area network according to claim 1, wherein constructing a simulation environment corresponding to the interference environment according to an interference signal characteristic value included in the interference signal characteristic value statistics result so that an experience index measurement value in the simulation environment matches with the experience index characteristic value statistics result, includes:

configuring matched equipment and parameters of the equipment according to the characteristic statistical value of the wireless local area network interference signal contained in the interference signal characteristic value statistical result so as to construct a simulation environment corresponding to the interference environment;

11. The interference processing method applied to a wireless local area network according to claim 1, wherein in an interference environment of the wireless local area network, measuring interference index information generated by an interference source for a target device, to obtain an index measurement result, includes:

in a plurality of interference environments of a wireless local area network, respectively measuring interference index information generated by an interference source in each interference environment aiming at target equipment to obtain index measurement results corresponding to each interference environment, so as to generate statistical results of index characteristic values corresponding to each interference environment according to the index measurement results corresponding to each interference environment;

the interference processing method further comprises the following steps: and recording the statistical result of the index characteristic values corresponding to the interference environments.

12. The interference processing method applied to a wireless local area network according to any one of claims 1 to 4 and 6 to 11, wherein a measurement duration of the interference index information is inversely related to an interference stability of the interference environment.

13. An interference processing apparatus for use in a wireless local area network, comprising:

the measuring unit is configured to measure interference index information generated by an interference source aiming at target equipment in an interference environment of the wireless local area network to obtain an index measurement result;

the generation unit is configured to generate a statistical result of the index characteristic value according to the index measurement result, wherein the statistical result of the index characteristic value comprises an interference signal characteristic value statistical result and an experience index characteristic value statistical result;

and the processing unit is configured to construct a simulation environment corresponding to the interference environment according to the interference signal characteristic value contained in the interference signal characteristic value statistical result so as to enable the experience index measured value in the simulation environment to be matched with the experience index characteristic value statistical result.

14. A computer readable medium having stored thereon a computer program, which when executed by a processor implements the interference handling method for wireless local area networks according to any of claims 1 to 12.

15. An electronic device, comprising:

one or more processors;

storage means for storing one or more programs which, when executed by the one or more processors, cause the electronic device to implement the interference handling method of any of claims 1 to 12 applied to a wireless local area network.