A wireless network signal optimization method and system based on signal-to-interference-and-noise ratio optimization

Abstract

The application discloses a wireless network signal optimization method and system based on signal-to-interference-and-noise ratio optimization, and particularly relates to the technical field of signal optimization, and has the technical features that multiple AP signals are acquired, and AP interference signals with the maximum signal-to-interference-and-noise ratio affecting indoor plane points are screened; one to-be-assigned AP is randomly selected from the multiple APs, and a list of assignable channel numbers of the to-be-assigned AP is selected from a 5G channel number set; when all AP interference signals in the interference signal list correspond to unassigned APs, channel numbers in the list of assignable channel numbers are assigned to the unassigned APs, and the channel number of the AP with the minimum RSS value of the AP interference signal is assigned to the to-be-assigned AP; when at least one of the APs corresponding to the AP interference signals in the interference signal list is an assigned AP, a channel number different from the channel number of the assigned AP is selected from the list of assignable channel numbers, and the channel number is assigned to the to-be-assigned AP; and the signal optimization is completed until all APs are assigned with channel numbers.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of signal optimization, and particularly relates to a wireless network signal optimization method and system based on optimal signal-to-interference-and-noise ratio. BACKGROUND

[0002] 5G wireless network refers to the fifth generation network in the development of mobile communication network. Compared with the previous four generations of mobile networks, 5G network shows more enhanced functions in actual application, and theoretically its transmission speed can reach tens of GB per second, which is several hundred times faster than 4G mobile network. 5G network shows more obvious advantages and more powerful functions in actual application. The emergence of 5G network greatly improves the network information flow rate.

[0003] In the deployment of 5G wireless network, the existing system mainly relies on received signal strength (RSS) as the evaluation index of signal quality, but the RSS index cannot comprehensively reflect the signal quality, and lacks comprehensive consideration of interference and noise. Therefore, in actual application, even if the signal strength is sufficient, the problem of network performance decline caused by strong interference and noise may still occur. Especially in dense indoor scenes such as shopping malls and office buildings, the problem of same-frequency interference and noise superposition among multiple wireless access points (APs) is prominent. When the received signal strength reaches a high level such as 65 dBm or above, the system will still have more than 60% of the throughput significantly reduced in the presence of same-frequency interference. At the same time, the existing technology calculates all detected interference signals without distinction, and does not establish a hierarchical screening mechanism based on interference strength, resulting in waste of computing resources on interference signals with less impact, and the system response speed is dragged down by redundant calculation, making it difficult to focus on key interference sources for targeted optimization. At the same time, the traditional channel allocation strategy relies on manual configuration or static rules, lacks a dynamic allocation strategy based on the priority of interference signals, and lacks the ability to dynamically perceive real-time interference changes, resulting in a high same-frequency interference rate.

[0004] Therefore, the present application aims to provide a wireless network signal optimization method and system based on optimal signal-to-interference-and-noise ratio to solve the above-mentioned related problems. SUMMARY

[0005] The technical problems to be solved by the present application are that signal quality evaluation is one-sidedly dependent on RSS and ignores the comprehensive influence of interference and noise, the interference processing mechanism is inefficient, leading to high computational complexity and resource waste, and the channel allocation strategy lacks dynamic optimization capability, and the purpose is to provide a wireless network signal optimization method and system based on optimal signal-to-interference-and-noise ratio, which can effectively identify key interference sources by adopting an interference screening mechanism based on a power difference threshold, and minimize interference through an intelligent channel allocation algorithm, thereby significantly improving the signal quality of indoor 5G networks; by adopting a dynamic interference hierarchical processing mechanism, the operation amount is greatly reduced by screening the main interference signals, and combined with the orthogonal characteristics of the 5G multi-bandwidth channel resource pool, the channel allocation decision can be quickly completed, meeting the real-time optimization requirements of 5G networks, and being particularly suitable for high-density AP deployment scenarios; at the same time, it can automatically adapt to different indoor environment characteristics, and realize stable signal coverage in typical scenes such as shopping malls and office buildings, solving the problem of poor optimization effect of traditional methods in complex environments.

[0006] The present application is realized by the following technical solutions:

[0007] A wireless network signal optimization method based on optimal signal-to-interference-and-noise ratio, the method comprising:

[0008] S1: obtaining a plurality of AP signals received at an indoor plane point, and screening at least one AP interference signal with the largest signal-to-interference-and-noise ratio value affecting the indoor plane point from the plurality of AP signals to construct an interference signal list of the indoor plane point;

[0009] S2: randomly selecting one to-be-assigned AP from the APs corresponding to the plurality of AP signals, and selecting a list of assignable channel numbers of the to-be-assigned AP from a 5G channel number set;

[0010] S3: when all AP interference signals in the interference signal list correspond to unassigned APs, assigning a channel number in the list of assignable channel numbers to an unassigned AP, and assigning the channel number of the AP with the smallest AP interference signal RSS value to the to-be-assigned AP; when all AP interference signals in the interference signal list correspond to at least one assigned AP, randomly selecting a channel number different from the channel number of the assigned AP from the list of assignable channel numbers and assigning it to the to-be-assigned AP signal; wherein, the unassigned AP refers to an AP that has not been assigned a channel number; the assigned AP refers to an AP that has been assigned a channel number;

[0011] S4: repeating the above S2-S3 until all APs are assigned a channel number, i.e. signal tuning is completed.

[0012] In an embodiment, the method further comprises: dividing the indoor plane into square grid points, and taking one of the grid points as the indoor plane point; wherein, Indicates the number of horizontal grid points. This indicates the number of vertical grid points.

[0013] In one implementation, multiple access point (AP) signals received at an indoor plane point are acquired, and at least one AP interference signal with the largest signal-to-interference-plus-noise ratio (SIR) affecting the indoor plane point is selected from the multiple AP signals to construct an interference signal list for the indoor plane point. Specifically:

[0014] Acquire multiple AP signals received at indoor plane points, and calculate the signal-to-interference-plus-noise ratio (SIR) of the indoor plane points using the signal-to-interference-plus-noise (SINR) calculation function;

[0015] By using a preset effective signal threshold, effective AP signals are filtered from multiple AP signals to obtain effective AP signals, and a list of effective AP signals is constructed.

[0016] The AP interference signal with the largest RSS value is obtained from the valid AP signals. Using the AP interference signal with the largest RSS value, at least one AP interference signal with the largest signal-to-interference-plus-noise ratio (SIR) affecting the indoor plane point is selected from the list of valid AP signals to construct a list of interference signals for the indoor plane point. Among them, when the RSS difference between one of the AP interference signals and the AP interference signal with the largest RSS value meets the power difference threshold, the SIR of the indoor plane point is the largest.

[0017] In one implementation, the 5G channel number set includes a list of channel numbers with four bandwidths: 20MHz, 40MHz, 80MHz, and 160MHz; wherein, the list of channel numbers with a 20MHz bandwidth is as follows: The list of channel numbers for a 40MHz bandwidth is as follows: The list of channel numbers with an 80MHz bandwidth is as follows: The list of channel numbers for a 160MHz bandwidth is as follows: .

[0018] In one implementation, when all AP interference signals in the interference signal list correspond to unassigned APs, the channel numbers in the allocable channel number list are assigned to the unassigned APs, and the channel number of the AP with the smallest AP interference signal RSS value is assigned to the AP to be assigned. Specifically:

[0019] The AP interference signals in the interference signal list are sorted in descending order of their RSS values.

[0020] When all APs corresponding to the interference signals in the interference signal list are unassigned APs, the channel numbers in the list of assignable channel numbers are assigned to the unassigned APs one by one in the order of the interference signal list, and the channel number of the AP with the smallest RSS value of the AP interference signal is assigned to the AP to be assigned.

[0021] In an embodiment, the calculation function of the signal-to-interference-and-noise ratio of the indoor plane point is: , wherein, RSS value of the AP signal with the maximum signal strength of the indoor plane point, RSS value of the interference signal of the indoor plane point RSS value of the noise signal; RSS value of the noise signal; signal-to-interference-and-noise ratio of the indoor plane point RSS value of the noise signal; RSS value of the noise signal; RSS value of the noise signal.

[0022] The application also provides a wireless network signal optimization system based on optimal signal-to-interference-and-noise ratio, which is used in the wireless network signal optimization method based on optimal signal-to-interference-and-noise ratio described above, and the system comprises:

[0023] An interference signal list construction module is configured to obtain a plurality of AP signals received by the indoor plane point, and to filter at least one AP interference signal with the maximum signal-to-interference-and-noise ratio of the indoor plane point from the plurality of AP signals to construct an interference signal list of the indoor plane point.

[0024] A distributable channel number list construction module is configured to randomly select a to-be-distributed AP from the APs corresponding to the plurality of AP signals, and to select a distributable channel number list of the to-be-distributed AP from a 5G channel number set.

[0025] A signal optimization module is configured to, when all APs corresponding to the AP interference signals in the interference signal list are undistributed APs, distribute the channel numbers in the distributable channel number list to the undistributed APs, and distribute the channel number of the AP with the minimum AP interference signal RSS value to the to-be-distributed AP; when at least one of the APs corresponding to the AP interference signals in the interference signal list is a distributed AP, randomly select a channel number different from the channel number of the distributed AP from the distributable channel number list, and distribute the channel number to the to-be-distributed AP; wherein the undistributed AP refers to an AP without a distributed channel number, and the distributed AP refers to an AP with a distributed channel number; until all APs are distributed with channel numbers, the signal optimization is completed.

[0026] The application also provides a computer device comprising a system memory and a processor, wherein the system memory stores a computer program, and the processor implements the steps of the method described above when executing the computer program.

[0027] The application also provides a computer readable storage medium, which stores a computer program, and the computer program implements the steps of the method described above when executed by a processor.

[0028] The application also provides a computer program product comprising instructions which, when executed by a cluster of computer devices, cause the cluster of computer devices to perform the method of any of the above.

[0029] Compared with the prior art, the application has the following advantages and beneficial effects:

[0030] In the application, the indoor plane is first meshed, the AP signals, interference and noise of the indoor plane points are quantified, the coarse-grained evaluation of the traditional RSS is replaced, a multi-AP cooperative physical layer model is constructed, an interference signal screening mechanism is set, at least one AP interference signal with the maximum signal-to-interference-and-noise ratio value affecting the indoor plane point is screened to construct an interference signal list of the indoor plane point, so as to realize screening of the key interference source to form an optimization list and reduce redundant calculation, and based on the orthogonality of the 5G multi-bandwidth channel group, non-overlapping channels are preferentially allocated to the strong interference AP. Through the above technical linkage, the 5G signal robustness of the complex environment is significantly improved, and the global optimization of the indoor signal quality is realized. BRIEF DESCRIPTION OF DRAWINGS

[0031] In order to more clearly illustrate the technical solutions of the example embodiments of the application, the following will briefly introduce the drawings needed to be used in the embodiments. It should be understood that the following drawings only show some of the embodiments of the application, and therefore should not be considered as limiting the scope. For those skilled in the art, other related drawings can also be obtained without creative labor. In the drawings:

[0032] Figure 1 The method flow diagram of the wireless network signal optimization method based on the optimal signal-to-interference-and-noise ratio in the embodiment;

[0033] Figure 2 The system module diagram of the wireless network signal optimization system based on the optimal signal-to-interference-and-noise ratio in the embodiment;

[0034] Figure 3 The structure diagram of the computer device in the embodiment.

[0035] Explanation of reference signs:

[0036] 1001, processor; 1002, network access device; 1003, input / output device; 1004, storage device; 1005, system memory; 1006, bus. DETAILED DESCRIPTION

[0037] Exemplary embodiments of the present disclosure are described herein below with reference to the accompanying drawings, in which various details are set forth to facilitate an understanding of the embodiments of the present disclosure. It should be apparent to those skilled in the art that various changes and modifications and other implementations can be made without departing from the scope of the present disclosure. Also, descriptions of well-known functions and constructions are omitted for clarity and conciseness.

[0038] In the present disclosure, the terms "first", "second", and the like are used to describe various elements only and do not intend to limit the positional relationship, the time relationship, or the importance of the elements, and such terms are used only to distinguish one element from another element. In some examples, the first element and the second element can refer to the same instance of the element, and in some cases, based on the context of the description, they can also refer to different instances.

[0039] The terms used in the description of various examples in the present disclosure are only for the purpose of describing the specific examples and are not intended to be limiting. Unless the number of elements is specifically limited, the element can be one or more than one, if the number of elements is not specifically limited. In addition, the term "and / or" used in the present disclosure encompasses any one of the listed items and all possible combinations thereof.

[0040] Embodiment 1

[0041] Referring to Figure 1 , Figure 1 A method flow diagram of a wireless network signal optimization method based on the optimal signal-to-interference-and-noise ratio is shown, wherein the method comprises:

[0042] S1: Obtain a plurality of AP signals received at the indoor plane point, and select at least one AP interference signal with the maximum signal-to-interference-and-noise ratio value affecting the indoor plane point from the plurality of AP signals to construct an interference signal list of the indoor plane point;

[0043] Specifically, in the present embodiment, first, the indoor plane is divided into square grid points, one of which is taken as an indoor plane point; wherein, represents the number of horizontal grid points, and represents the number of vertical grid points; at the same time, we set K APs in the indoor plane, denoted as ; each AP is assigned a channel number, denoted as ;

[0044] Secondly, a plurality of AP signals received at the indoor plane point are obtained, and the plurality of AP signals are recorded based on signal strength as , with the unit of dBm, wherein the AP signal strength and the AP are one-to-one correspondence, for example for The signal strength, and it should also be noted that in this embodiment, signal strength refers to the signal RSS value; among all AP signal strengths, As an indoor plane point The maximum signal strength, while for other signals Then it is believed At this indoor plan point This is an interference signal; simultaneously, noise also exists at indoor planar points, and the noise at each indoor planar point is uniformly defined as a constant. In this embodiment, the value is -95dBm, but in other embodiments it can be set to other constants.

[0045] The signal-to-interference-plus-noise ratio (SIR) of the indoor planar points is calculated again using the SIR calculation function; the SIR calculation function is as follows: ,in, The RSS value of the AP signal with the strongest signal strength at an indoor plane point. Indicates indoor planar point interference signal RSS value, The RSS value represents the noise signal; Indicates indoor plan point The signal-to-interference-plus-noise ratio (SINR); Indicates indoor plan point The number of AP signals received; it should be noted that in this embodiment, the signal value is generally the RSS value. To calculate the signal-to-interference-plus-noise ratio (SINR), the RSS value needs to be converted into power, where... This represents the power value of the AP signal with the strongest signal strength. This represents the power value of the interference signal at an indoor planar point. Indicates the power value of the noise signal;

[0046] Then, using a preset valid signal threshold, if an AP signal is greater than the preset valid signal threshold, it is considered a valid AP signal. Therefore, multiple valid AP signals are obtained from the multiple AP signals, and a list of valid AP signals is constructed. It should be noted that, in this embodiment, a preset effective signal threshold is used. Depending on the actual situation, its purpose is to filter out invalid signals in the AP signal and improve the overall processing speed of signal optimization;

[0047] It should be noted that, in this embodiment, the RSS value of the interference AP signal at the spatial plane point is assumed to be... The RSS value of another interfering AP signal at the spatial plane point is ,and Then we can get: From which the RSS value can be found 10 dBm, then its power value size difference 10 times; Therefore, can get the most affected by the signal to noise ratio is the maximum interference signal difference 10 dBm range of interference signal. Because the AP can assign channel number is limited, we need to affect the interference signal corresponding to the AP and the signal of the indoor plane point with the strongest AP channel number stagger;

[0048] So finally in the effective AP signal to get the maximum RSS value of AP interference signal , using the RSS value of the maximum AP interference signal in the effective AP signal list, screening to get at least one impact on the indoor plane point of the signal to noise ratio value of the largest AP interference signal, to construct the interference signal list of indoor plane point ; Where one of the AP interference signal and the RSS value of the maximum AP interference signal between the RSS difference satisfies the power difference threshold 10 dBm (that is ), that is, the signal to noise ratio value of the indoor plane point is the largest.

[0049] In this embodiment, from the signal to noise ratio value calculation function can be seen, It has been the maximum value, if you want to let the signal to noise ratio Maximum, you need to let the interference signal as small as possible; Therefore, need to let The value is minimum, because Is a constant, then the value of the interference signal Should be the lowest; And the way to reduce the size of the interference signal is to make the larger interference signal in the channel number of the indoor plane point and the channel number of the maximum signal value different.

[0050] Specifically, the indoor space is divided into The grid points of the indoor space, the signal quality of each indoor plane point is quantized, the maximum signal strength And the interference signal Comparison calculation, dynamic evaluation of signal quality through SINR quantization formula instead of traditional RSS strength evaluation; At the same time, this embodiment is based on 10 dBm power difference threshold (the threshold corresponds to the actual power difference of 10 times when the RSS value difference is 10 dBm) to screen the key interference source and construct the interference signal list. Through the interference signal list, the interference with small influence is dynamically excluded, and the high weight interference within 10 dBm range of the main signal is preferentially processed; This mechanism only calculates the interference source with a difference less than or equal to 10 dBm from the maximum interference signal, so as to reduce the algorithm complexity and improve the actual operation efficiency; In high-density scenarios such as shopping malls, strong interference AP can be dynamically tracked to ensure that the heat map refresh delay is in the nanosecond level, meeting the 1ms level response requirement of 5G ultra-high reliable and low latency communication service.

[0051] S2: randomly selecting one to-be-assigned AP from the APs corresponding to the multiple AP signal, and selecting a list of assignable channel numbers of the to-be-assigned AP from the 5G channel number set;

[0052] It should be noted that, in the embodiment, the 5G channel number set includes channel number lists of 20 MHz, 40 MHz, 80 MHz and 160 MHz bandwidths; wherein the channel number list of 20 MHz bandwidth is ; the channel number list of 40 MHz bandwidth is ; the channel number list of 80 MHz bandwidth is ; and the channel number list of 160 MHz bandwidth is .

[0053] Specifically, in the embodiment, first, one to-be-assigned AP is randomly selected from the APs corresponding to the multiple AP signal of the indoor plane point, and the to-be-assigned AP refers to an AP to which no channel number is assigned; then, according to the actual demand of the user network, a bandwidth is selected from the 5G channel number set, and the channel number list of the bandwidth is taken as the assignable channel number list for channel allocation, for example, 40 MHz bandwidth is selected, and the channel number list of 40 MHz bandwidth is taken as the assignable channel number list of the to-be-assigned AP, and the assignable channel number is 12.

[0054] S3: when all the APs corresponding to the AP interference signals in the interference signal list are unassigned APs, the channel numbers in the assignable channel number list are assigned to the unassigned APs, and the channel number of the AP with the minimum AP interference signal RSS value is assigned to the to-be-assigned AP; when at least one of the APs corresponding to the AP interference signals in the interference signal list is an assigned AP, a channel number different from the channel number of the assigned AP is randomly selected from the assignable channel number list and assigned to the to-be-assigned AP; wherein the unassigned AP refers to an AP to which no channel number is assigned; the assigned AP refers to an AP to which a channel number is assigned;

[0055] Specifically, in the embodiment, first, the AP interference signals in the interference signal list are sorted in descending order of signal RSS value, and then it is judged whether all the APs corresponding to the AP interference signals in the interference signal list are assigned channel numbers; when all the APs corresponding to the AP interference signals in the interference signal list are unassigned APs, the channel numbers in the assignable channel number list are sequentially and one-to-one assigned to the unassigned APs according to the order of the interference signal list, and then , and the channel number of the AP with the minimum AP interference signal RSS value is assigned to the to-be-assigned AP, the purpose of which is to assign the channel number of the AP corresponding to the interference signal with the minimum influence to the to-be-assigned AP as much as possible;

[0056] When all the AP interference signals in the interference signal list correspond to at least one allocated AP, a channel number that is different from the channel number of the allocated AP is randomly selected from the list of allocable channel numbers and allocated to the to-be-allocated AP signal; for example, when all the AP interference signals in the interference signal list correspond to P allocated APs, the allocated channel numbers are Therefore, the to-be-allocated AP signal can also select a list of channel numbers (that are different from the channel numbers of the allocated APs) as Then, a channel number is randomly selected from and allocated to the to-be-allocated AP signal.

[0057] Meanwhile, in the present embodiment, the present application integrates 5G four-bandwidth channel resources (C 20 / C 40 / C 80 / C 160 , a total of 45 channels), different bandwidth channels do not interfere with each other, providing a basic resource pool for subsequent dynamic allocation; at the same time, the AP interference signals are arranged in descending order of RSS values as, and strong interference sources are preferentially processed; by randomly selecting a channel number that is different from the channel number of the allocated AP, dynamic channel allocation is realized; the "maximum interference priority avoidance" strategy is adopted, and non-overlapping channel numbers are preferentially allocated to strong interference APs with an RSS difference of less than or equal to 10 dBm.

[0058] S4: Repeat S2-S3 above until all APs are allocated with channel numbers, i.e., signal tuning is completed.

[0059] It should be noted that in the present embodiment, when all APs are allocated with channel numbers, the optimal signal-to-noise ratio value is obtained, i.e., the purpose of signal tuning is achieved.

[0060] Specifically, in the present embodiment, the present application can effectively identify key interference sources by adopting an interference screening mechanism based on a power difference threshold, and minimize interference through an intelligent channel allocation algorithm, thereby significantly improving the signal quality of indoor 5G networks; by adopting a dynamic interference hierarchical processing mechanism, the main interference signals are screened to greatly reduce the computational load, and combined with the orthogonal characteristics of the 5G multi-bandwidth channel resource pool, channel allocation decisions can be quickly completed, meeting the real-time optimization requirements of 5G networks, and being particularly suitable for high-density AP deployment scenarios; at the same time, it can automatically adapt to different indoor environmental characteristics, achieving stable signal coverage in typical scenarios such as shopping malls and office buildings, and solving the problem of poor optimization effect of traditional methods in complex environments.

[0061] Embodiment 2

[0062] Referring to Figure 2The application further provides a wireless network signal optimization system based on an optimal signal-to-interference-and-noise ratio, which is used in the wireless network signal optimization method based on the optimal signal-to-interference-and-noise ratio.

[0063] The interference signal list construction module 100 is configured to acquire a plurality of AP signals received at the indoor plane point, and screen at least one AP interference signal with the maximum impact on the signal-to-interference-and-noise ratio of the indoor plane point from the plurality of AP signals to construct an interference signal list of the indoor plane point.

[0064] The allocable channel number list construction module 200 is configured to randomly screen one to-be-allocated AP from the APs corresponding to the plurality of AP signals, and select an allocable channel number list of the to-be-allocated AP from the 5G channel number set.

[0065] The signal optimization module 300 is configured to, when all the AP interference signals in the interference signal list correspond to unallocated APs, allocate the channel numbers in the allocable channel number list to the unallocated APs, and allocate the channel number of the AP with the minimum RSS value of the AP interference signal to the to-be-allocated AP; when all the AP interference signals in the interference signal list correspond to at least one allocated AP, randomly select a channel number different from the channel number of the allocated AP from the allocable channel number list, and allocate the channel number to the to-be-allocated AP; wherein the unallocated AP refers to the AP without allocated channel numbers; the allocated AP refers to the AP with allocated channel numbers; and the signal optimization is completed until all the APs are allocated with channel numbers.

[0066] In this embodiment, the interference signal list construction module is specifically configured to acquire a plurality of AP signals received at the indoor plane point, calculate the signal-to-interference-and-noise ratio of the indoor plane point by using a signal-to-interference-and-noise calculation function, screen effective AP signals from the plurality of AP signals by using a preset effective signal threshold, and construct an effective AP signal list; acquire an AP interference signal with the maximum RSS value from the effective AP signals, and screen at least one AP interference signal with the maximum impact on the signal-to-interference-and-noise ratio of the indoor plane point from the effective AP signal list by using the AP interference signal with the maximum RSS value, to construct an interference signal list of the indoor plane point; wherein when the RSS difference between one AP interference signal and the AP interference signal with the maximum RSS value satisfies a power difference threshold, the signal-to-interference-and-noise ratio of the indoor plane point is maximum.

[0067] In this embodiment, the 5G channel number set includes channel number lists of four bandwidths of 20 MHz, 40 MHz, 80 MHz and 160 MHz; wherein the channel number list of the 20 MHz bandwidth is ; the channel number list of the 40 MHz bandwidth is ; the channel number list of the 80 MHz bandwidth is ; the channel number list of a 160MHz bandwidth is .

[0068] In this embodiment, when all the AP interference signals in the interference signal list correspond to unassigned APs, the channel numbers in the assignable channel number list are assigned to the unassigned APs, and the channel number of the AP with the minimum AP interference signal RSS value is assigned to the to-be-assigned AP. Specifically, the AP interference signals in the interference signal list are sorted in descending order of signal RSS value; when all the AP interference signals in the interference signal list correspond to unassigned APs, the channel numbers in the assignable channel number list are sequentially and one-to-one assigned to the unassigned APs in the order of the interference signal list, and the channel number of the AP with the minimum AP interference signal RSS value is assigned to the to-be-assigned AP.

[0069] It should be noted that the modules in the system of Embodiment 2 correspond to the steps in the method of Embodiment 1, and the steps in the method of Embodiment 1 have been described in detail in Embodiment 1, and the content of the modules in the system will not be described in detail in Embodiment 2.

[0070] Embodiment 3

[0071] This embodiment also provides a computer device including a system memory 1005 and a processor 1001, the system memory 1005 stores a computer program, and the processor 1001 implements the steps of the method of any one of the above embodiments when executing the computer program.

[0072] It should be noted that the processor 1001 is configured to execute the steps in the above method embodiments according to instructions in the program code. Alternatively, the processor 1001 implements the functions of each module / unit in the above system / device embodiments when executing the computer program.

[0073] Specifically, in this embodiment, the computer program can be divided into one or more modules / units, which are stored in the system memory 1005 and executed by the processor 1001 to complete the present application. One or more modules / units can be a series of computer program instruction segments capable of completing a specific function, which are used to describe the execution process of the computer program in the terminal device.

[0074] The terminal device can be a desktop computer, a notebook computer, a palm computer, and a cloud server, etc. The terminal device can include, but is not limited to, the processor 1001, the system memory 1005. Those skilled in the art can understand that it does not constitute a limitation on the terminal device, and can include more or fewer components than the illustration, or combine certain components, or different components, for example, the terminal device can also include an input / output device 1003, a network access device 1002, a bus 1006, etc.

[0075] The processor 1001 can be a Central Processing Unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor can be a microprocessor or any conventional processor.

[0076] System memory 1005 can be an internal storage unit of the terminal device, such as a hard drive or RAM. System memory 1005 can also be a storage device 1004 of the terminal device, such as an external hard drive, SmartMedia Card (SMC), Secure Digital (SD) card, or FlashCard. Furthermore, system memory 1005 can include both internal storage units and storage device 1004. System memory 1005 is used to store computer programs and other programs and data required by the terminal device. System memory 1005 can also be used to temporarily store data that has been output or will be output.

[0077] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working processes of the systems and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.

[0078] Example 4

[0079] This embodiment provides a computer-readable storage medium storing a computer program thereon, which, when executed by a processor, implements the steps of any of the methods described above.

[0080] The computer readable storage medium, for example, can be, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, or apparatus or device, or any suitable combination of the foregoing. More specific examples (a non-exhaustive list) of the computer readable storage medium include: 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 (EPROM or Flash memory), registers, a hard disk, 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. The computer readable storage medium of the foregoing is non-transitory only in the general sense that it does not have its data modified by the program executing on the computer system. The computer readable storage medium of the foregoing remains tangible even though non-transitory.

[0081] An exemplary storage medium is coupled to the processor such that the processor can read information from, and can write information to, the storage medium. Of course, the storage medium can be part of the processor. Consistent with the teachings of the present disclosure, a storage medium can be implemented using any appropriate media, such as optical, magnetic or semiconductor storages. In the present embodiment, the computer readable storage medium can 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.

[0082] Embodiment 5

[0083] The present embodiment also provides a computer program product containing instructions which, when executed by a cluster of computer devices, cause the cluster of computer devices to perform the method as described in embodiment 1.

[0084] The above detailed description merely describes exemplary embodiments of the application, and is not intended to limit the scope of the application. The above examples are illustrative and not intended to limit the scope of the application. Other embodiments of the application will be apparent to those skilled in the art from consideration of the specification and practice of the application disclosed herein. Each and every feature disclosed in the specification, and each and every combination of features disclosed in the specification, is hereby specifically incorporated by reference.

Claims

1. A signal optimization method for wireless network based on optimal signal-to-interference-and-noise ratio, characterized in that, The method comprises: S1: obtaining a plurality of AP signals received at the indoor plane point, and calculating the signal-to-interference-and-noise ratio value of the indoor plane point by using a signal-to-interference-and-noise calculation function; an effective AP signal is selected from the plurality of AP signals by using a preset effective signal threshold, and an effective AP signal list is constructed; an AP interference signal with the maximum RSS value is obtained from the effective AP signal, and at least one AP interference signal with the maximum signal-to-interference-and-noise ratio value affecting the indoor plane point is selected from the effective AP signal list by using the AP interference signal with the maximum RSS value, so as to construct an interference signal list of the indoor plane point; wherein when the RSS difference between one of the AP interference signals and the AP interference signal with the maximum RSS value satisfies a power difference threshold, the signal-to-interference-and-noise ratio value affecting the indoor plane point is maximum; S2: randomly selecting one to-be-assigned AP from the APs corresponding to the plurality of AP signals, and selecting a list of assignable channel numbers of the to-be-assigned AP from a 5G channel number set; S3: sorting the AP interference signals in the interference signal list in descending order of signal RSS value; when all the AP interference signals in the interference signal list correspond to unassigned APs, the channel numbers in the list of assignable channel numbers are sequentially and one-to-one assigned to the unassigned APs in the order of the interference signal list, and the channel number of the AP with the minimum AP interference signal RSS value is assigned to the to-be-assigned AP; when all the AP interference signals in the interference signal list correspond to at least one assigned AP, a channel number different from the channel number of the assigned AP is randomly selected from the list of assignable channel numbers and assigned to the to-be-assigned AP; wherein the unassigned AP refers to an AP that has not been assigned a channel number; the assigned AP refers to an AP that has been assigned a channel number; S4: repeating S2-S3 until all APs are assigned a channel number, that is, the signal tuning is completed; The calculation function of the signal-to-interference-and-noise ratio value of the indoor plane point is: ,in, The RSS value of the AP signal with the strongest signal strength at an indoor plane point. Indicates indoor planar point interference signal RSS value, The RSS value represents the noise signal; Indicates indoor plan point The signal-to-interference-plus-noise ratio (SINR); Indicates indoor plan point The number of AP signals received.

2. The wireless network signal optimization method based on the optimal signal-to-interference-and-noise ratio according to claim 1, characterized in that, The method further comprises: dividing the indoor plane into square grid points, taking one of the grid points as the indoor plane point; wherein, represents the number of horizontal grid points, represents the number of vertical grid points.

3. The wireless network signal optimization method based on the optimal signal-to-interference-and-noise ratio according to claim 1, characterized in that, The 5G channel number set includes channel number lists of 20MHz, 40MHz, 80MHz and 160MHz bandwidths; wherein the channel number list of the 20MHz bandwidth is ; the channel number list of the 40MHz bandwidth is ; the channel number list of the 80MHz bandwidth is ; and the channel number list of the 160MHz bandwidth is .

4. A signal optimization system for wireless networks based on optimal signal to interference and noise ratio, characterized in that, The system is used in the wireless network signal optimization method based on the optimal signal-to-interference-and-noise ratio according to any one of claims 1-3, and the system comprises: an interference signal list construction module, configured to obtain a plurality of AP signals received at the indoor plane point, and select at least one AP interference signal with the maximum signal-to-interference-and-noise ratio value affecting the indoor plane point from the plurality of AP signals, so as to construct an interference signal list of the indoor plane point; an assignable channel number list construction module, configured to randomly select one to-be-assigned AP from the APs corresponding to the plurality of AP signals, and select a list of assignable channel numbers of the to-be-assigned AP from a 5G channel number set; The signal optimization module is configured to: when all AP interference signals in the interference signal list correspond to unassigned APs, assign a channel number in the assignable channel number list to an unassigned AP, and assign the channel number of the AP with the minimum RSS value of the AP interference signal to the unassigned AP; when all AP interference signals in the interference signal list correspond to at least one assigned AP, randomly select a channel number in the assignable channel number list that is different from the channel number of the assigned AP, and assign the channel number to the unassigned AP; wherein the unassigned AP refers to an AP that has not been assigned a channel number, and the assigned AP refers to an AP that has been assigned a channel number; and the signal optimization is completed when all APs are assigned channel numbers.

5. The wireless network signal optimization system based on the optimal signal-to-interference-and-noise ratio according to claim 4, characterized in that, The interference signal list construction module is specifically configured to: obtain a plurality of AP signals received by the indoor plane point, and calculate the signal-to-interference-and-noise ratio (SINR) value of the indoor plane point by using a SINR calculation function; filter effective AP signals from the plurality of AP signals by using a preset effective signal threshold, and construct an effective AP signal list; obtain an AP interference signal with the maximum RSS value from the effective AP signals, filter at least one AP interference signal with the maximum SINR value affecting the indoor plane point from the effective AP signal list by using the AP interference signal with the maximum RSS value, and construct an interference signal list of the indoor plane point; wherein when the RSS difference between one AP interference signal and the AP interference signal with the maximum RSS value satisfies a power difference threshold, the SINR value of the indoor plane point affected by the AP interference signal is the maximum.

6. The wireless network signal optimization system based on the optimal signal-to-interference-and-noise ratio according to claim 4, wherein, The 5G channel number set includes channel number lists of 20MHz, 40MHz, 80MHz and 160MHz bandwidths; wherein the channel number list of the 20MHz bandwidth is ; the channel number list of the 40MHz bandwidth is ; the channel number list of the 80MHz bandwidth is ; and the channel number list of the 160MHz bandwidth is .

7. The wireless network signal optimization system based on the optimal signal-to-interference-and-noise ratio according to claim 4, wherein, When all AP interference signals in the interference signal list correspond to unassigned APs, a channel number in the assignable channel number list is assigned to an unassigned AP, and the channel number of the AP with the minimum RSS value of the AP interference signal is assigned to the unassigned AP, specifically as follows: sort the AP interference signals in the interference signal list in descending order of signal RSS value; When all AP interference signals in the interference signal list correspond to unassigned APs, a channel number in the assignable channel number list is assigned to an unassigned AP, and the channel number of the AP with the minimum RSS value of the AP interference signal is assigned to the unassigned AP, specifically as follows: sort the AP interference signals in the interference signal list in descending order of signal RSS value; When all AP interference signals in the interference signal list correspond to unassigned APs, a channel number in the assignable channel number list is assigned to an unassigned AP, and the channel number of the AP with the minimum RSS value of the AP interference signal is assigned to the unassigned AP, specifically as follows:

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