Method and system for improving signal connection strength based on network communication equipment

Abstract

The present invention relates to the field of network communication, and discloses a method and system for improving the signal connection strength of network communication equipment, the method comprising: using an antenna design unit in a network management system to construct a multi-antenna system for a network communication scenario; monitoring the signal quality data of a communication signal, constructing a signal quality curve of the communication signal, analyzing the signal trend of the communication signal, determining the signal gain requirement and signal adjustment parameters of the communication signal, adaptively optimizing the communication signal, and obtaining an adaptively optimized signal; constructing a multipath propagation model of a user signal to determine the channel impulse response of the user signal, and determining the communication user location of the communication user; calculating the unit phase and unit amplitude of a RIS unit in a network management system, constructing a focused beam of the communication user, and realizing the improvement of the signal connection strength of the communication user by focusing the beam. The present invention can improve the signal connection strength improvement effect of network communication equipment.

Description

Technical Field

[0001] The present invention relates to the field of network communications, and in particular to a method and system for improving signal connection strength based on network communication equipment. Background Art

[0002] Improving the signal connection strength of network communication equipment refers to the process of enhancing the performance of network communication equipment (such as mobile phones, wireless access points, base stations, etc.) when sending and receiving signals through a series of technical means and management measures, thereby improving the quality and reliability of communication. The goal of improving signal connection strength is to provide users with faster, more reliable and more stable network communication services.

[0003] Currently, traditional methods for improving signal connection strength mainly rely on increasing transmission power, optimizing antenna layout, and adjusting frequency allocation. These methods usually cannot fully utilize the spatial diversity and multipath effects of multi-antenna systems to determine the specific location and direction of users, resulting in low accuracy of signal gain and coverage. Summary of the invention

[0004] The present invention provides a method and system for improving the signal connection strength of network communication equipment, the main purpose of which is to improve the signal connection strength improvement effect of the network communication equipment.

[0005] To achieve the above object, the present invention provides a method for improving the signal connection strength of a network communication device, comprising:

[0006] Constructing a network management system for network communication equipment, obtaining network communication scenarios and communication users of the network communication equipment, analyzing communication environment characteristics and communication requirements of the network communication scenarios, and based on the communication environment characteristics and communication requirements, constructing a multi-antenna system for the network communication scenarios using an antenna design unit in the network management system;

[0007] After sending a communication signal to the communication user through the multi-antenna system, using the signal monitoring unit in the network management system to monitor the signal quality data of the communication signal, and based on the signal quality data, calculating the signal-to-noise ratio, bit error rate, received signal strength and signal-to-interference-noise ratio of the communication signal;

[0008] Constructing a signal quality curve of the communication signal through the signal-to-noise ratio, bit error rate, received signal strength and signal-to-interference-to-noise ratio of the communication signal; analyzing the signal trend of the communication signal through the signal quality curve using a trained signal analysis model; determining the signal gain requirement and signal adjustment parameters of the communication signal based on the signal quality curve and the signal trend; and adaptively optimizing the communication signal through the signal gain requirement and the signal adjustment parameters to obtain an adaptively optimized signal;

[0009] Acquire a user signal of the communication user, construct a multipath propagation model of the user signal, determine a channel impulse response of the user signal through the multipath propagation model, analyze multipath components of the channel impulse response, and determine the communication user location of the communication user based on the multipath components;

[0010] Based on the positioning of the communication user, the unit phase and unit amplitude of the RIS unit in the network management system are calculated. Through the unit phase, unit amplitude and adaptive optimization signal, a focused beam of the communication user is constructed, and the signal connection strength of the communication user is improved through the focused beam.

[0011] Optionally, based on the characteristics of the communication environment and the communication requirements, using the antenna design unit in the network management system to construct the multi-antenna system of the network communication scenario includes:

[0012] Based on the characteristics of the communication environment and communication requirements, analyzing the data transmission rate, coverage and user density of the network communication scenario;

[0013] Determine the antenna type and antenna parameters of the network communication scenario according to the data transmission rate, coverage and user density;

[0014] Based on the antenna type and the antenna parameters, constructing the antenna layout of the network communication scenario using the antenna design unit in the network management system;

[0015] Simulating antenna performance of the antenna layout using preset electromagnetic simulation software;

[0016] When the antenna performance meets a preset antenna performance threshold, a multi-antenna system for the network communication scenario is constructed based on the antenna layout.

[0017] Optionally, the calculating, based on the signal quality data, a signal-to-noise ratio, a bit error rate, a received signal strength, and a signal-to-interference-to-noise ratio of the communication signal comprises:

[0018] Analyzing the bit energy, noise power spectral density, bit duration, number of error bits, total number of bits, and signal bandwidth of the communication signal based on the signal quality data;

[0019] Calculating the signal-to-noise ratio of the communication signal by using the bit energy, noise power spectral density, bit duration and signal bandwidth;

[0020] According to the number of error bits and the total number of bits, the bit error rate of the communication signal is calculated using the following formula:

[0021] ;

[0022] in, Indicates the bit error rate of the communication signal, Indicates the number of error bits in the communication signal. Indicates the total number of bits of the communication signal;

[0023] The received signal strength of the communication signal is calculated using the bit energy, noise power spectrum density and bit duration:

[0024] The signal-to-interference-noise ratio of the communication signal is calculated by using the bit energy, noise power spectral density, bit duration and signal bandwidth.

[0025] Optionally, constructing a signal quality curve of the communication signal through a signal-to-noise ratio, a bit error rate, a received signal strength, and a signal-to-interference-noise ratio of the communication signal includes:

[0026] Constructing a signal-to-noise ratio curve, a bit error rate curve, a received signal strength curve, and a signal-to-interference-noise ratio curve of the signal-to-noise ratio, bit error rate, received signal strength, and signal-to-interference-noise ratio of the communication signal;

[0027] Fitting the signal-to-noise ratio curve, the bit error rate curve, the received signal strength curve, and the signal-to-interference-to-noise ratio curve to obtain an initial signal quality curve of the communication signal;

[0028] Calculating a residual of the initial signal quality curve;

[0029] analyzing a normal distribution of the residuals;

[0030] Analyzing the fit of the initial signal quality curve based on the normal distribution of the residual;

[0031] When the degree of fit meets a preset degree of fit threshold, the initial signal quality curve is used as the signal quality curve of the communication signal.

[0032] Optionally, the adaptively optimizing the communication signal according to the signal gain requirement and the signal adjustment parameter to obtain an adaptively optimized signal includes:

[0033] constructing an adaptive algorithm for the communication signal;

[0034] Constructing adaptive parameters of the adaptive algorithm according to the signal gain requirement and the signal adjustment parameter;

[0035] By using the adaptive parameters and the adaptive algorithm, the communication signal is adaptively optimized to obtain an initial adaptive optimization signal;

[0036] Calculating the optimized signal quality of the initial adaptive optimized signal;

[0037] When the quality of the optimized signal meets the preset signal quality standard, the initial adaptive optimization signal is used as the adaptive optimization signal.

[0038] Optionally, constructing the multipath propagation model of the user signal includes:

[0039] Identifying signal environment characteristics corresponding to the user signal;

[0040] Determining the propagation model type of the user signal according to the signal environment characteristics;

[0041] Determining propagation model parameters of the user signal based on the propagation model type, wherein the propagation model parameters include reflection coefficient, scattering coefficient, multipath delay, and multipath amplitude;

[0042] constructing an initial multipath propagation model of the user signal according to the propagation model parameters;

[0043] Simulating signal propagation characteristics of the initial multipath propagation model;

[0044] When the signal propagation characteristic meets the preset propagation characteristic standard, the initial multipath propagation model is used as the multipath propagation model of the user signal.

[0045] Optionally, determining the channel impulse response of the user signal by using the multipath propagation model includes:

[0046] Based on the multipath propagation model, construct a multipath signal of the user signal;

[0047] Calculating the signal amplitude and signal delay of the multipath signal;

[0048] The channel impulse response of the user signal is calculated using the following formula based on the signal amplitude and signal delay of the multipath signal:

[0049] ;

[0050] in, represents the channel impulse response of the user signal, Indicates The signal amplitude of the multipath signal, Indicates The signal delay of the multipath signal, represents the unit impulse function, represents the transmission time of multipath signal, Indicates the number of multipath signals.

[0051] Optionally, determining the communication user location of the communication user based on the multipath component includes:

[0052] constructing a sensor array of the communication user;

[0053] Marking the arrival time difference of signals of corresponding sensors of the sensor array by the multipath components;

[0054] The signal arrival time difference is used to calculate the signal arrival angle difference of the corresponding sensors in the sensor array using the following formula:

[0055] ;

[0056] in, represents the signal arrival angle difference of the sensor, represents the inverse sine function, represents the speed of light, represents the signal arrival time difference, represents the distance between sensors, Indicates the signal wavelength;

[0057] Based on the signal arrival angle difference, a communication user location of the communication user is determined.

[0058] Optionally, the calculating the unit phase and unit amplitude of the RIS unit in the network management system based on the communication user positioning includes:

[0059] Analyzing RIS unit geometry of RIS units in the network management system;

[0060] simulating signal propagation of the RIS cell based on the RIS cell geometry;

[0061] analyzing the unit signal propagation characteristics of the RIS unit through the signal propagation;

[0062] Determining the beam direction requirement of the RIS unit based on the communication user positioning;

[0063] According to the beam direction requirement, the unit phase and unit amplitude of the RIS unit in the network management system are determined.

[0064] In order to solve the above problems, the present invention also provides a system for improving the signal connection strength of a network communication device, the system comprising:

[0065] A multi-antenna system construction module is used to construct a network management system for network communication equipment, obtain network communication scenarios and communication users of the network communication equipment, analyze the communication environment characteristics and communication requirements of the network communication scenario, and based on the communication environment characteristics and communication requirements, use the antenna design unit in the network management system to construct a multi-antenna system for the network communication scenario;

[0066] A communication signal quality analysis module, configured to, after sending a communication signal to the communication user through the multi-antenna system, monitor the signal quality data of the communication signal using a signal monitoring unit in the network management system, and calculate the signal-to-noise ratio, bit error rate, received signal strength, and signal-to-interference-to-noise ratio of the communication signal based on the signal quality data;

[0067] A signal adaptive optimization module, used to construct a signal quality curve of the communication signal through the signal-to-noise ratio, bit error rate, received signal strength and signal-to-interference-noise ratio of the communication signal, analyze the signal trend of the communication signal through the signal quality curve using a trained signal analysis model, determine the signal gain requirement and signal adjustment parameters of the communication signal based on the signal quality curve and the signal trend, and adaptively optimize the communication signal through the signal gain requirement and the signal adjustment parameters to obtain an adaptively optimized signal;

[0068] A communication user positioning module, used to obtain a user signal of the communication user, construct a multipath propagation model of the user signal, determine a channel impulse response of the user signal through the multipath propagation model, analyze the multipath components of the channel impulse response, and determine the communication user positioning of the communication user based on the multipath components;

[0069] The signal connection strength enhancement module is used to calculate the unit phase and unit amplitude of the RIS unit in the network management system based on the positioning of the communication user, and to construct a focused beam of the communication user through the unit phase, unit amplitude and adaptive optimization signal, so as to improve the signal connection strength of the communication user through the focused beam.

[0070] The present invention utilizes the antenna design unit in the network management system to construct a multi-antenna system for the network communication scenario to improve the signal connection strength; after the present invention sends a communication signal to the communication user through the multi-antenna system, the signal monitoring unit in the network management system is used to monitor the signal quality data of the communication signal as a basis for subsequent signal optimization; further, the present invention constructs a signal quality curve of the communication signal through the signal-to-noise ratio, bit error rate, received signal strength and signal-to-interference-noise ratio of the communication signal, and can analyze the quality status of the communication signal more intuitively through the curve, thereby improving the effect of subsequent signal optimization; further, the present invention uses the signal quality curve to utilize the trained The signal analysis model analyzes the signal trend of the communication signal, which can provide a basis for signal optimization and improve the performance of the communication system. Furthermore, the present invention constructs a multipath propagation model of the user signal to serve as a basis for the subsequent analysis of the user's location information. Next, the present invention analyzes the multipath component of the channel impulse response, and based on the multipath component, determines the communication user positioning of the communication user, which can be targeted to improve the user's signal, thereby improving the user's signal improvement effect. Finally, based on the communication user positioning, the invention calculates the unit phase and unit amplitude of the RIS unit in the network management system to achieve precise control and optimization of the signal and achieve targeted improvement of the signal connection strength of the communication user through the focused beam. Therefore, the present invention can improve the signal connection strength improvement effect of network communication equipment. BRIEF DESCRIPTION OF THE DRAWINGS

[0071] Figure 1 A schematic diagram of a flow chart of a method for improving signal connection strength of a network communication device provided in one embodiment of the present invention;

[0072] Figure 2 A functional module diagram of a system for improving signal connection strength of a network communication device provided by an embodiment of the present invention;

[0073] Figure 3 A schematic diagram of the structure of an electronic device of a system for improving the signal connection strength of a network communication device provided by an embodiment of the present invention;

[0074] The realization of the purpose, functional features and advantages of the present invention will be further explained in conjunction with embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0075] It should be understood that the specific embodiments described herein are only used to explain the present invention, and are not used to limit the present invention.

[0076] The embodiment of the present application provides a method for improving the strength of signal connection based on network communication equipment. The execution subject of the method for improving the strength of signal connection based on network communication equipment includes but is not limited to at least one of the electronic devices such as a server and a terminal that can be configured to execute the method provided by the embodiment of the present application. In other words, the method for improving the strength of signal connection based on network communication equipment can be executed by software or hardware installed on a terminal device or a server device, and the software can be a blockchain platform. The server includes but is not limited to: a single server, a server cluster, a cloud server or a cloud server cluster, etc. The server can be an independent server, or it can be a cloud server that provides basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communications, middleware services, domain name services, security services, content delivery networks (Content Delivery Network, CDN), and big data and artificial intelligence platforms.

[0077] Reference Figure 1 FIG. 1 is a flow chart of a method for improving the signal connection strength of a network communication device according to an embodiment of the present invention. In this embodiment, the method for improving the signal connection strength of a network communication device includes:

[0078] S1. Construct a network management system for network communication equipment, obtain the network communication scenarios and communication users of the network communication equipment, analyze the communication environment characteristics and communication requirements of the network communication scenarios, and based on the communication environment characteristics and communication requirements, use the antenna design unit in the network management system to construct a multi-antenna system for the network communication scenarios.

[0079] It should be explained that the network communication equipment refers to the hardware equipment used for network communication, such as mobile phones, tablet computers, routers, switches, base stations, etc.; the network management system refers to the software system used to monitor, control and manage network communication equipment; the network communication scenario refers to the various communication environments and conditions faced by network communication equipment in actual use; the communication user refers to an individual or entity that uses network communication equipment for communication, which can be an end user or other network equipment.

[0080] The present invention utilizes the antenna design unit in the network management system to construct a multi-antenna system for the network communication scenario to improve the signal connection strength.

[0081] In detail, based on the characteristics of the communication environment and the communication requirements, the multi-antenna system of the network communication scenario is constructed by using the antenna design unit in the network management system, including:

[0082] Based on the characteristics of the communication environment and communication requirements, analyzing the data transmission rate, coverage and user density of the network communication scenario;

[0083] Determine the antenna type and antenna parameters of the network communication scenario according to the data transmission rate, coverage and user density;

[0084] Based on the antenna type and the antenna parameters, constructing the antenna layout of the network communication scenario using the antenna design unit in the network management system;

[0085] Simulating antenna performance of the antenna layout using preset electromagnetic simulation software;

[0086] When the antenna performance meets a preset antenna performance threshold, a multi-antenna system for the network communication scenario is constructed based on the antenna layout.

[0087] Among them, the data transmission rate refers to the data transmission speed between devices in the network communication scenario, the coverage range refers to the area range where network signals can be effectively transmitted, the user density refers to the number of users in the network coverage area, the antenna type refers to the device used to send and receive signals, including omnidirectional antennas, directional antennas, MIMO antennas, etc., the antenna parameters refer to the specific configuration of the antenna, such as gain, directivity, polarization mode, operating frequency, etc., the antenna layout refers to the arrangement of the antenna in space, including the position, height, angle, etc. of the antenna, the antenna performance refers to the performance of the antenna in a specific environment, including signal strength, directivity, coverage, etc., the antenna performance threshold presets the antenna performance standard, which is used to evaluate whether the performance of the antenna layout meets the requirements, and the multi-antenna system refers to a system composed of multiple antennas, which is used to enhance signal coverage, increase transmission rate and increase system capacity.

[0088] S2. After sending a communication signal to the communication user through the multi-antenna system, the signal quality data of the communication signal is monitored by the signal monitoring unit in the network management system, and based on the signal quality data, the signal-to-noise ratio, bit error rate, received signal strength and signal-to-interference-noise ratio of the communication signal are calculated.

[0089] After the multi-antenna system sends a communication signal to the communication user, the present invention uses the signal monitoring unit in the network management system to monitor the signal quality data of the communication signal as a basis for subsequent signal optimization. Specifically, the signal quality data refers to data describing the signal quality of the communication signal.

[0090] In detail, the calculating of the signal-to-noise ratio, bit error rate, received signal strength and signal-to-interference-noise ratio of the communication signal based on the signal quality data includes:

[0091] Analyzing the bit energy, noise power spectral density, bit duration, number of error bits, total number of bits, and signal bandwidth of the communication signal based on the signal quality data;

[0092] Calculating the signal-to-noise ratio of the communication signal by using the bit energy, noise power spectral density, bit duration and signal bandwidth;

[0093] According to the number of error bits and the total number of bits, the bit error rate of the communication signal is calculated using the following formula:

[0094] ;

[0095] in Indicates the bit error rate of the communication signal. Indicates the number of error bits in the communication signal. Indicates the total number of bits of the communication signal;

[0096] The received signal strength of the communication signal is calculated using the bit energy, noise power spectrum density and bit duration:

[0097] The signal-to-interference-noise ratio of the communication signal is calculated by using the bit energy, noise power spectral density, bit duration and signal bandwidth.

[0098] Among them, the bit energy refers to the energy carried by each bit, the noise power spectral density refers to the noise power within a unit bandwidth, the bit duration refers to the duration of each bit in time, the number of error bits refers to the number of error bits in the received bit sequence, the total number of bits refers to the total number of received bits, the signal bandwidth refers to the frequency range occupied by the signal, the signal-to-noise ratio refers to the ratio of signal power to noise power, the bit error rate refers to the ratio of the number of received error bits to the total number of bits, the received signal strength refers to the ratio of the power of the received signal to the reference power, the signal-to-interference-noise ratio refers to the ratio of the sum of the signal power and the noise power to the noise power, and the reference power refers to a preset power value used to compare the power of the received signal.

[0099] S3. Construct a signal quality curve of the communication signal through the signal-to-noise ratio, bit error rate, received signal strength and signal-to-interference-noise ratio of the communication signal; analyze the signal trend of the communication signal through the signal quality curve using a trained signal analysis model; determine the signal gain requirement and signal adjustment parameters of the communication signal based on the signal quality curve and the signal trend; and adaptively optimize the communication signal through the signal gain requirement and the signal adjustment parameters to obtain an adaptively optimized signal.

[0100] The present invention constructs a signal quality curve of the communication signal through the signal-to-noise ratio, bit error rate, received signal strength and signal-to-interference-noise ratio of the communication signal, and can more intuitively analyze the quality status of the communication signal through the curve, thereby improving the effect of subsequent signal optimization.

[0101] In detail, constructing the signal quality curve of the communication signal through the signal-to-noise ratio, bit error rate, received signal strength and signal-to-interference-noise ratio of the communication signal includes:

[0102] Constructing a signal-to-noise ratio curve, a bit error rate curve, a received signal strength curve, and a signal-to-interference-noise ratio curve of the signal-to-noise ratio, bit error rate, received signal strength, and signal-to-interference-noise ratio of the communication signal;

[0103] Fitting the signal-to-noise ratio curve, the bit error rate curve, the received signal strength curve, and the signal-to-interference-to-noise ratio curve to obtain an initial signal quality curve of the communication signal;

[0104] Calculating a residual of the initial signal quality curve;

[0105] analyzing a normal distribution of the residuals;

[0106] Analyzing the fit of the initial signal quality curve based on the normal distribution of the residual;

[0107] When the degree of fit meets a preset degree of fit threshold, the initial signal quality curve is used as the signal quality curve of the communication signal.

[0108] Among them, the signal-to-noise ratio curve refers to a curve describing the change of the signal-to-noise ratio of the communication signal over time, the bit error rate curve refers to a curve describing the change of the bit error rate of the communication signal over time, the received signal strength curve refers to a curve describing the change of the received signal strength indication of the communication signal over time, the signal-to-interference-noise ratio curve refers to a curve describing the change of the signal-to-interference-noise ratio of the communication signal over time, the residual refers to the difference between the actual observation value and the fitting curve during the curve fitting process, the normal distribution refers to a continuous probability distribution, and its probability density function has a bell-shaped curve shape, the fit refers to a measure that describes the degree of match between the fitting model and the actual observation data, the fit threshold refers to a preset fit standard, which is used to judge the quality of the fitting model, and the signal quality curve refers to a curve that integrates multiple signal quality indicators, which is used to comprehensively evaluate the quality of the communication signal.

[0109] Optionally, the signal-to-noise ratio curve, the bit error rate curve, the received signal strength curve and the signal-to-interference-noise ratio curve are fitted to obtain an initial signal quality curve of the communication signal, which can be fitted by models such as nonlinear regression and support vector machines.

[0110] The present invention uses the signal quality curve and the trained signal analysis model to analyze the signal trend of the communication signal, which can provide a basis for signal optimization and improve the performance of the communication system. The signal trend refers to the signal quality change state of the communication signal.

[0111] In detail, the signal trend of the communication signal can be analyzed through the signal quality curve using a trained signal analysis model by identifying curve features of the signal quality curve, such as peak values, valley values, slopes, inflection points and other features of the signal quality.

[0112] It should be explained that the signal gain requirement refers to the power that needs to be increased during the transmission process of the signal in order to achieve the predetermined communication quality standard, and the signal adjustment parameter refers to the parameter that can be changed to optimize signal transmission, including transmission power, antenna direction, modulation method, coding scheme and other parameters.

[0113] The communication signal is adaptively optimized by using the signal gain requirement and the signal adjustment parameter to obtain an adaptively optimized signal, which can be adaptively optimized to improve the transmission quality and efficiency of the signal.

[0114] In detail, the adaptive optimization of the communication signal is performed according to the signal gain requirement and the signal adjustment parameter to obtain an adaptive optimization signal, including:

[0115] constructing an adaptive algorithm for the communication signal;

[0116] Constructing adaptive parameters of the adaptive algorithm according to the signal gain requirement and the signal adjustment parameter;

[0117] By using the adaptive parameters and the adaptive algorithm, the communication signal is adaptively optimized to obtain an initial adaptive optimization signal;

[0118] Calculating the optimized signal quality of the initial adaptive optimized signal;

[0119] When the quality of the optimized signal meets the preset signal quality standard, the initial adaptive optimization signal is used as the adaptive optimization signal.

[0120] Among them, the adaptive algorithm can dynamically adjust the transmission parameters and gain threshold of the signal according to the change of signal quality. The adaptive parameters are parameters that need to be adjusted in the adaptive algorithm, and these parameters may include transmission power, antenna direction, modulation mode, coding scheme, gain power, etc. The initial adaptive optimization signal inputs the adaptive parameters into the adaptive algorithm to adaptively optimize the communication signal. The optimized signal quality refers to the signal quality of the initial adaptive optimization signal. The signal quality standard refers to a preset value for judging whether the signal quality meets the standard. The adaptive optimization signal refers to an optimized signal whose quality requirements meet the standard.

[0121] S4. Acquire the user signal of the communication user, construct a multipath propagation model of the user signal, determine the channel impulse response of the user signal through the multipath propagation model, analyze the multipath components of the channel impulse response, and determine the communication user location of the communication user based on the multipath components.

[0122] It should be explained that the user signal refers to a signal sent from a user device (such as a mobile phone, tablet computer, etc.). These signals may be voice signals, data signals or other types of communication signals.

[0123] The present invention constructs a multipath propagation model of the user signal to provide a basis for subsequent analysis of the user's location information.

[0124] In detail, the constructing of the multipath propagation model of the user signal includes:

[0125] Identifying signal environment characteristics corresponding to the user signal;

[0126] Determining the propagation model type of the user signal according to the signal environment characteristics;

[0127] Determining propagation model parameters of the user signal based on the propagation model type, wherein the propagation model parameters include reflection coefficient, scattering coefficient, multipath delay, and multipath amplitude;

[0128] constructing an initial multipath propagation model of the user signal according to the propagation model parameters;

[0129] Simulating signal propagation characteristics of the initial multipath propagation model;

[0130] When the signal propagation characteristic meets the preset propagation characteristic standard, the initial multipath propagation model is used as the multipath propagation model of the user signal.

[0131] Among them, the signal environment characteristics refer to the environmental conditions in which the signal is located during the transmission process, including factors such as terrain, buildings, vegetation, and weather. The propagation model type refers to a mathematical model used to describe the propagation behavior of the signal in a specific environment. The reflection coefficient refers to the proportion of the signal reflected after encountering an obstacle. The scattering coefficient refers to the degree of scattering of the signal after encountering an obstacle. The multipath delay refers to the time difference between the signal reaching the receiving end through different paths. The multipath amplitude refers to the amplitude difference between the signal reaching the receiving end through different paths. The initial multipath propagation model refers to a preliminary multipath propagation model constructed based on the signal environment characteristics and the propagation model type. The signal propagation characteristics refer to the characteristics of the signal during the propagation process, such as signal strength, delay, phase, etc. The propagation characteristics standard refers to a preset signal propagation characteristics standard used to evaluate the quality of the propagation model. The multipath propagation model refers to a verified and adjusted multipath propagation model that can accurately reflect the propagation characteristics of the signal in the actual environment.

[0132] The present invention determines the channel impulse response of the user signal through the multipath propagation model and can more accurately estimate the propagation path and delay of the signal, thereby improving the positioning accuracy of the communication user.

[0133] In detail, determining the channel impulse response of the user signal by using the multipath propagation model includes:

[0134] Based on the multipath propagation model, construct a multipath signal of the user signal;

[0135] Calculating the signal amplitude and signal delay of the multipath signal;

[0136] The channel impulse response of the user signal is calculated using the following formula based on the signal amplitude and signal delay of the multipath signal:

[0137] ;

[0138] in, represents the channel impulse response of the user signal, Indicates The signal amplitude of the multipath signal, Indicates The signal delay of the multipath signal, represents the unit impulse function, represents the transmission time of multipath signal, Indicates the number of multipath signals.

[0139] Among them, the multipath signal refers to the multiple copies of the signal generated by transmitting through different paths during the propagation process, the signal amplitude refers to the strength or power of the multipath signal, the signal delay refers to the time difference between the multipath signal and the original signal, and the channel impulse response refers to the time domain response after channel transmission.

[0140] Furthermore, the signal amplitude and signal delay of the multipath signal may be calculated by performing time domain feature extraction and analysis on the generated multipath signal.

[0141] The present invention analyzes the multipath components of the channel impulse response, and based on the multipath components, determines the communication user positioning of the communication user, and can perform targeted user signal enhancement, thereby improving the user signal enhancement effect.

[0142] In detail, determining the communication user location of the communication user based on the multipath component includes:

[0143] constructing a sensor array of the communication user;

[0144] Marking the arrival time difference of signals of corresponding sensors of the sensor array by the multipath components;

[0145] The signal arrival time difference is used to calculate the signal arrival angle difference of the corresponding sensors in the sensor array using the following formula:

[0146] ;

[0147] in, represents the signal arrival angle difference of the sensor, represents the inverse sine function, represents the speed of light, represents the signal arrival time difference, represents the distance between sensors, Indicates the signal wavelength;

[0148] Based on the signal arrival angle difference, a communication user location of the communication user is determined.

[0149] Among them, the sensor array refers to a group of sensors arranged in the positioning system, the signal arrival time difference refers to the time difference when the signal emitted by the same signal source reaches different sensors via different paths, the signal arrival angle difference refers to the angle difference between the signals relative to the sensors when the signal emitted by the same signal source reaches different sensors via different paths, the inverse sine function is the inverse function of the sine function, and the signal wavelength refers to the distance required for the signal to propagate a complete wavelength in space.

[0150] Furthermore, the communication user location of the communication user determined based on the signal arrival angle difference can be determined by constructing a triangle of the sensor array through the signal arrival angle difference, and the communication user location is determined by identifying the intersection of the triangle.

[0151] S5. Based on the positioning of the communication user, the unit phase and unit amplitude of the RIS unit in the network management system are calculated, and a focused beam of the communication user is constructed through the unit phase, unit amplitude and adaptive optimization signal, so as to improve the signal connection strength of the communication user through the focused beam.

[0152] The present invention calculates the unit phase and unit amplitude of the RIS unit in the network management system based on the communication user positioning, thereby realizing accurate control and optimization of signals.

[0153] In detail, the calculating of the unit phase and unit amplitude of the RIS unit in the network management system based on the communication user positioning includes:

[0154] Analyzing RIS unit geometry of RIS units in the network management system;

[0155] simulating signal propagation of the RIS cell based on the RIS cell geometry;

[0156] analyzing the unit signal propagation characteristics of the RIS unit through the signal propagation;

[0157] Determining the beam direction requirement of the RIS unit based on the communication user positioning;

[0158] According to the beam direction requirement, the unit phase and unit amplitude of the RIS unit in the network management system are determined.

[0159] Among them, the RIS unit geometry refers to the description of the spatial layout and arrangement of the RIS units in the RIS system, the signal propagation refers to the description of the propagation process of the signal on the RIS unit, the unit signal propagation characteristics refers to the description of the influence of the RIS unit on the signal propagation, including the phase, amplitude and polarization of the signal, etc., the beam direction requirement refers to the description of the beam direction that the RIS unit needs to form in order to meet specific communication requirements, the unit phase refers to the description of the phase setting of each tunable unit on the RIS unit, and the unit amplitude refers to the amplitude setting of each tunable unit on the RIS unit.

[0160] Optionally, based on the geometric structure of the RIS unit, the signal propagation of the RIS unit can be simulated by an electromagnetic field calculation method (such as finite difference time domain method FDTD, moment method MOM, etc.).

[0161] It should be explained that the focused beam refers to constructing a beam focused in the direction of the communication user.

[0162] Finally, the present invention achieves targeted improvement of the signal connection strength of communication users through the focused beam.

[0163] The present invention utilizes the antenna design unit in the network management system to construct a multi-antenna system for the network communication scenario to improve the signal connection strength; after the present invention sends a communication signal to the communication user through the multi-antenna system, the signal monitoring unit in the network management system is used to monitor the signal quality data of the communication signal as a basis for subsequent signal optimization; further, the present invention constructs a signal quality curve of the communication signal through the signal-to-noise ratio, bit error rate, received signal strength and signal-to-interference-noise ratio of the communication signal, and can analyze the quality status of the communication signal more intuitively through the curve, thereby improving the effect of subsequent signal optimization; further, the present invention uses the signal quality curve to utilize the trained The signal analysis model analyzes the signal trend of the communication signal, which can provide a basis for signal optimization and improve the performance of the communication system. Furthermore, the present invention constructs a multipath propagation model of the user signal to serve as a basis for the subsequent analysis of the user's location information. Next, the present invention analyzes the multipath component of the channel impulse response, and based on the multipath component, determines the communication user positioning of the communication user, which can be targeted to improve the user's signal, thereby improving the user's signal improvement effect. Finally, based on the communication user positioning, the invention calculates the unit phase and unit amplitude of the RIS unit in the network management system to achieve precise control and optimization of the signal and achieve targeted improvement of the signal connection strength of the communication user through the focused beam. Therefore, the present invention can improve the signal connection strength improvement effect of network communication equipment.

[0164] like Figure 2 , is a functional module diagram of a signal connection strength enhancement system based on a network communication device provided by an embodiment of the present invention.

[0165] The signal connection strength enhancement system 200 based on network communication equipment of the present invention can be installed in an electronic device. According to the functions to be implemented, the signal connection strength enhancement system 200 based on network communication equipment can include a multi-antenna system construction module 201, a communication signal quality analysis module 202, a signal adaptive optimization module 203, a communication user positioning module 204 and a signal connection strength enhancement module 205. The module of the present invention can also be called a unit, which refers to a series of computer program segments that can be executed by an electronic device processor and can complete fixed functions, which are stored in the memory of the electronic device.

[0166] In this embodiment, the functions of each module / unit are as follows:

[0167] The multi-antenna system construction module 201 is used to construct a network management system for network communication equipment, obtain network communication scenarios and communication users of the network communication equipment, analyze the communication environment characteristics and communication requirements of the network communication scenario, and based on the communication environment characteristics and communication requirements, use the antenna design unit in the network management system to construct a multi-antenna system for the network communication scenario;

[0168] The communication signal quality analysis module 202 is used to monitor the signal quality data of the communication signal by using the signal monitoring unit in the network management system after sending the communication signal to the communication user through the multi-antenna system, and calculate the signal-to-noise ratio, bit error rate, received signal strength and signal-to-interference-noise ratio of the communication signal based on the signal quality data;

[0169] The signal adaptive optimization module 203 is used to construct a signal quality curve of the communication signal through the signal-to-noise ratio, bit error rate, received signal strength and signal-to-interference-to-noise ratio of the communication signal, analyze the signal trend of the communication signal through the signal quality curve using a trained signal analysis model, determine the signal gain requirement and signal adjustment parameters of the communication signal based on the signal quality curve and the signal trend, and adaptively optimize the communication signal through the signal gain requirement and the signal adjustment parameters to obtain an adaptively optimized signal;

[0170] The communication user positioning module 204 is used to obtain the user signal of the communication user, construct a multipath propagation model of the user signal, determine the channel impulse response of the user signal through the multipath propagation model, analyze the multipath components of the channel impulse response, and determine the communication user positioning of the communication user based on the multipath components;

[0171] The signal connection strength enhancement module 205 is used to calculate the unit phase and unit amplitude of the RIS unit in the network management system based on the positioning of the communication user, and to construct a focused beam of the communication user through the unit phase, unit amplitude and adaptive optimization signal, so as to improve the signal connection strength of the communication user through the focused beam.

[0172] In detail, each module described in the signal connection strength improvement system 200 based on network communication equipment described in the embodiment of the present invention adopts the same technical means as the signal connection strength improvement method based on network communication equipment described in the accompanying drawings when used, and can produce the same technical effects, which will not be repeated here.

[0173] An embodiment of the present invention provides an electronic device for implementing a method for improving the signal connection strength of a network communication device.

[0174] See also Figure 3 As shown, the electronic device may include a processor 30, a memory 31, a communication bus 32 and a communication interface 33, and may also include a computer program stored in the memory 31 and executable on the processor 30, such as a signal connection strength enhancement method program based on a network communication device.

[0175] In some embodiments, the processor may be composed of an integrated circuit, for example, a single packaged integrated circuit, or a plurality of packaged integrated circuits with the same or different functions, including one or more central processing units (CPUs), microprocessors, digital processing chips, graphics processors, and a combination of various control chips. The processor is the control core (Control Unit) of the electronic device, and uses various interfaces and lines to connect the various components of the entire electronic device, and executes or executes programs or modules stored in the memory (for example, executing a signal connection strength enhancement program based on a network communication device, etc.), and calls the data stored in the memory to execute various functions of the electronic device and process data.

[0176] The memory includes at least one type of readable storage medium, and the readable storage medium includes flash memory, mobile hard disk, multimedia card, card-type memory (for example: SD or DX memory, etc.), magnetic memory, disk, optical disk, etc. In some embodiments, the memory may be an internal storage unit of an electronic device, such as a mobile hard disk of the electronic device. In other embodiments, the memory may also be an external storage device of an electronic device, such as a plug-in mobile hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (Secure Digital, SD) card, a flash card (Flash Card), etc. equipped on the electronic device. Furthermore, the memory may also include both an internal storage unit of the electronic device and an external storage device. The memory can not only be used to store application software and various types of data installed in the electronic device, such as the code of a signal connection strength enhancement program based on a network communication device, but can also be used to temporarily store data that has been output or is to be output.

[0177] The communication bus may be a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus, etc. The bus may be divided into an address bus, a data bus, a control bus, etc. The bus is configured to realize connection and communication between the memory and at least one processor, etc.

[0178] The communication interface is used for communication between the above-mentioned electronic device and other devices, including a network interface and a user interface. Optionally, the network interface may include a wired interface and / or a wireless interface (such as a WI-FI interface, a Bluetooth interface, etc.), which is generally used to establish a communication connection between the electronic device and other electronic devices. The user interface may be a display (Display), an input unit (such as a keyboard (Keyboard)), and optionally, the user interface may also be a standard wired interface, a wireless interface. Optionally, in some embodiments, the display may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, and an OLED (Organic Light-Emitting Diode, organic light-emitting diode) touch device, etc. Among them, the display may also be appropriately referred to as a display screen or a display unit, which is used to display information processed in the electronic device and to display a visual user interface.

[0179] For example, although not shown, the electronic device may also include a power source (such as a battery) for supplying power to various components. Preferably, the power source may be logically connected to the at least one processor through a power management system, so that the power management system can realize functions such as charging management, discharging management, and power consumption management. The power source may also include any components such as one or more DC or AC power sources, recharging systems, power failure detection circuits, power converters or inverters, and power status indicators. The electronic device may also include a variety of sensors, Bluetooth modules, Wi-Fi modules, etc., which will not be repeated here.

[0180] It should be understood that the embodiment is for illustration only and the scope of the patent application is not limited to this structure.

[0181] The signal connection strength enhancement program based on the network communication device stored in the memory of the electronic device is a combination of multiple instructions, and when running in the processor, it can achieve:

[0182] Constructing a network management system for network communication equipment, obtaining network communication scenarios and communication users of the network communication equipment, analyzing communication environment characteristics and communication requirements of the network communication scenarios, and based on the communication environment characteristics and communication requirements, constructing a multi-antenna system for the network communication scenarios using an antenna design unit in the network management system;

[0183] After sending a communication signal to the communication user through the multi-antenna system, using the signal monitoring unit in the network management system to monitor the signal quality data of the communication signal, and based on the signal quality data, calculating the signal-to-noise ratio, bit error rate, received signal strength and signal-to-interference-noise ratio of the communication signal;

[0184] Constructing a signal quality curve of the communication signal through the signal-to-noise ratio, bit error rate, received signal strength and signal-to-interference-to-noise ratio of the communication signal; analyzing the signal trend of the communication signal through the signal quality curve using a trained signal analysis model; determining the signal gain requirement and signal adjustment parameters of the communication signal based on the signal quality curve and the signal trend; and adaptively optimizing the communication signal through the signal gain requirement and the signal adjustment parameters to obtain an adaptively optimized signal;

[0185] Acquire a user signal of the communication user, construct a multipath propagation model of the user signal, determine a channel impulse response of the user signal through the multipath propagation model, analyze multipath components of the channel impulse response, and determine the communication user location of the communication user based on the multipath components;

[0186] Based on the positioning of the communication user, the unit phase and unit amplitude of the RIS unit in the network management system are calculated. Through the unit phase, unit amplitude and adaptive optimization signal, a focused beam of the communication user is constructed, and the signal connection strength of the communication user is improved through the focused beam.

[0187] Specifically, the specific implementation method of the processor for the above instructions can refer to the description of the relevant steps in the corresponding embodiment of the accompanying drawings, which will not be repeated here.

[0188] Furthermore, if the module / unit integrated in the electronic device is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. The computer-readable storage medium can be volatile or non-volatile. For example, the computer-readable medium can include: any entity or system that can carry the computer program code, a recording medium, a USB flash drive, a mobile hard disk, a magnetic disk, an optical disk, a computer memory, and a read-only memory (ROM).

[0189] The present invention further provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor of an electronic device, the computer program can implement:

[0190] Constructing a network management system for network communication equipment, obtaining network communication scenarios and communication users of the network communication equipment, analyzing communication environment characteristics and communication requirements of the network communication scenarios, and based on the communication environment characteristics and communication requirements, constructing a multi-antenna system for the network communication scenarios using an antenna design unit in the network management system;

[0191] After sending a communication signal to the communication user through the multi-antenna system, using the signal monitoring unit in the network management system to monitor the signal quality data of the communication signal, and based on the signal quality data, calculating the signal-to-noise ratio, bit error rate, received signal strength and signal-to-interference-noise ratio of the communication signal;

[0192] Constructing a signal quality curve of the communication signal through the signal-to-noise ratio, bit error rate, received signal strength and signal-to-interference-to-noise ratio of the communication signal; analyzing the signal trend of the communication signal through the signal quality curve using a trained signal analysis model; determining the signal gain requirement and signal adjustment parameters of the communication signal based on the signal quality curve and the signal trend; and adaptively optimizing the communication signal through the signal gain requirement and the signal adjustment parameters to obtain an adaptively optimized signal;

[0193] Acquire a user signal of the communication user, construct a multipath propagation model of the user signal, determine a channel impulse response of the user signal through the multipath propagation model, analyze multipath components of the channel impulse response, and determine the communication user location of the communication user based on the multipath components;

[0194] Based on the positioning of the communication user, the unit phase and unit amplitude of the RIS unit in the network management system are calculated. Through the unit phase, unit amplitude and adaptive optimization signal, a focused beam of the communication user is constructed, and the signal connection strength of the communication user is improved through the focused beam.

[0195] In the several embodiments provided by the present invention, it should be understood that the disclosed devices, systems and methods can be implemented in other ways. For example, the system embodiments described above are only schematic, for example, the division of the modules is only a logical function division, and there may be other division methods in actual implementation.

[0196] The modules described as separate components may or may not be physically separated, and the components shown as modules may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0197] In addition, each functional module in each embodiment of the present invention may be integrated into one processing unit, each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of hardware plus software functional modules.

[0198] It is obvious to those skilled in the art that the present invention is not limited to the details of the above exemplary embodiments, and that the present invention can be implemented in other specific forms without departing from the spirit or essential characteristics of the present invention.

[0199] Therefore, no matter from which point of view, the embodiments should be regarded as illustrative and non-restrictive, and the scope of the present invention is limited by the appended claims rather than the above description, so it is intended that all changes falling within the meaning and scope of the equivalent elements of the claims are included in the present invention. Any attached figure mark in the claims should not be regarded as limiting the claims involved.

[0200] The embodiments of the present application can acquire and process relevant data based on artificial intelligence technology. Artificial Intelligence (AI) is the theory, method, technology and application system that uses digital computers or machines controlled by digital computers to simulate, extend and expand human intelligence, perceive the environment, acquire knowledge and use knowledge to obtain the best results.

[0201] In addition, it is clear that the word "comprising" does not exclude other units or steps, and the singular does not exclude the plural. Multiple units or systems stated in a system claim can also be implemented by one unit or system through software or hardware. The words first, second, etc. are used to indicate names, and do not indicate any particular order.

[0202] Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solution of the present invention can be modified or replaced by equivalents without departing from the spirit and scope of the technical solution of the present invention.

Claims

1. A method for improving the signal connection strength of a network communication device, characterized in that: The method comprises: Constructing a network management system for network communication equipment, obtaining network communication scenarios and communication users of the network communication equipment, analyzing communication environment characteristics and communication requirements of the network communication scenarios, and based on the communication environment characteristics and communication requirements, constructing a multi-antenna system for the network communication scenarios using an antenna design unit in the network management system; After sending a communication signal to the communication user through the multi-antenna system, using the signal monitoring unit in the network management system to monitor the signal quality data of the communication signal, and based on the signal quality data, calculating the signal-to-noise ratio, bit error rate, received signal strength and signal-to-interference-noise ratio of the communication signal; Constructing a signal quality curve of the communication signal through the signal-to-noise ratio, bit error rate, received signal strength and signal-to-interference-to-noise ratio of the communication signal; analyzing the signal trend of the communication signal through the signal quality curve using a trained signal analysis model; determining the signal gain requirement and signal adjustment parameters of the communication signal based on the signal quality curve and the signal trend; and adaptively optimizing the communication signal through the signal gain requirement and the signal adjustment parameters to obtain an adaptively optimized signal; Acquire a user signal of the communication user, construct a multipath propagation model of the user signal, determine a channel impulse response of the user signal through the multipath propagation model, analyze multipath components of the channel impulse response, and determine the communication user location of the communication user based on the multipath components; Based on the positioning of the communication user, the unit phase and unit amplitude of the RIS unit in the network management system are calculated. Through the unit phase, unit amplitude and adaptive optimization signal, a focused beam of the communication user is constructed, and the signal connection strength of the communication user is improved through the focused beam.

2. The method for improving the signal connection strength of a network communication device according to claim 1, characterized in that: The method of constructing a multi-antenna system for the network communication scenario based on the characteristics of the communication environment and the communication requirements by using the antenna design unit in the network management system includes: Based on the characteristics of the communication environment and communication requirements, analyzing the data transmission rate, coverage and user density of the network communication scenario; Determine the antenna type and antenna parameters of the network communication scenario according to the data transmission rate, coverage and user density; Based on the antenna type and the antenna parameters, constructing the antenna layout of the network communication scenario using the antenna design unit in the network management system; Simulating antenna performance of the antenna layout using preset electromagnetic simulation software; When the antenna performance meets a preset antenna performance threshold, a multi-antenna system for the network communication scenario is constructed based on the antenna layout.

3. The method for improving the signal connection strength of a network communication device according to claim 2, characterized in that: The calculating, based on the signal quality data, the signal-to-noise ratio, the bit error rate, the received signal strength and the signal-to-interference-to-noise ratio of the communication signal comprises: Analyzing the bit energy, noise power spectral density, bit duration, number of error bits, total number of bits, and signal bandwidth of the communication signal based on the signal quality data; Calculating the signal-to-noise ratio of the communication signal by using the bit energy, noise power spectral density, bit duration and signal bandwidth; According to the number of error bits and the total number of bits, the bit error rate of the communication signal is calculated using the following formula: ； in, Indicates the bit error rate of the communication signal, Indicates the number of error bits in the communication signal. Indicates the total number of bits of the communication signal; The received signal strength of the communication signal is calculated using the bit energy, noise power spectrum density and bit duration: The signal-to-interference-noise ratio of the communication signal is calculated by using the bit energy, noise power spectral density, bit duration and signal bandwidth.

4. The method for improving the signal connection strength of a network communication device according to claim 3, characterized in that: The signal quality curve of the communication signal is constructed by using the signal-to-noise ratio, bit error rate, received signal strength and signal-to-interference-noise ratio of the communication signal, including: Constructing a signal-to-noise ratio curve, a bit error rate curve, a received signal strength curve, and a signal-to-interference-noise ratio curve of the signal-to-noise ratio, bit error rate, received signal strength, and signal-to-interference-noise ratio of the communication signal; Fitting the signal-to-noise ratio curve, the bit error rate curve, the received signal strength curve, and the signal-to-interference-to-noise ratio curve to obtain an initial signal quality curve of the communication signal; Calculating a residual of the initial signal quality curve; analyzing a normal distribution of the residuals; Analyzing the fit of the initial signal quality curve based on the normal distribution of the residual; When the degree of fit meets a preset degree of fit threshold, the initial signal quality curve is used as the signal quality curve of the communication signal.

5. The method for improving the signal connection strength of a network communication device according to claim 4, characterized in that: The adaptively optimizing the communication signal according to the signal gain requirement and the signal adjustment parameter to obtain an adaptively optimized signal includes: constructing an adaptive algorithm for the communication signal; Constructing adaptive parameters of the adaptive algorithm according to the signal gain requirement and the signal adjustment parameter; By using the adaptive parameters and the adaptive algorithm, the communication signal is adaptively optimized to obtain an initial adaptive optimization signal; Calculating the optimized signal quality of the initial adaptive optimized signal; When the quality of the optimized signal meets the preset signal quality standard, the initial adaptive optimization signal is used as the adaptive optimization signal.

6. The method for improving the signal connection strength of a network communication device according to claim 5, characterized in that: The constructing the multipath propagation model of the user signal includes: Identifying signal environment characteristics corresponding to the user signal; Determining the propagation model type of the user signal according to the signal environment characteristics; Determining propagation model parameters of the user signal based on the propagation model type, wherein the propagation model parameters include reflection coefficient, scattering coefficient, multipath delay, and multipath amplitude; constructing an initial multipath propagation model of the user signal according to the propagation model parameters; Simulating signal propagation characteristics of the initial multipath propagation model; When the signal propagation characteristic meets the preset propagation characteristic standard, the initial multipath propagation model is used as the multipath propagation model of the user signal.

7. The method for improving the signal connection strength of a network communication device according to claim 6, characterized in that: The determining the channel impulse response of the user signal by using the multipath propagation model comprises: Based on the multipath propagation model, construct a multipath signal of the user signal; Calculating the signal amplitude and signal delay of the multipath signal; The channel impulse response of the user signal is calculated using the following formula based on the signal amplitude and signal delay of the multipath signal: ； in, represents the channel impulse response of the user signal, Indicates The signal amplitude of the multipath signal, Indicates The signal delay of the multipath signal, represents the unit impulse function, represents the transmission time of multipath signal, Indicates the number of multipath signals.

8. The method for improving the signal connection strength of a network communication device according to claim 7, characterized in that: The determining the communication user location of the communication user based on the multipath component includes: constructing a sensor array of the communication user; Marking the arrival time difference of signals of corresponding sensors of the sensor array by the multipath components; The signal arrival time difference is used to calculate the signal arrival angle difference of the corresponding sensors in the sensor array using the following formula: ； in, represents the signal arrival angle difference of the sensor, represents the inverse sine function, represents the speed of light, represents the signal arrival time difference, represents the distance between sensors, Indicates the signal wavelength; Based on the signal arrival angle difference, a communication user location of the communication user is determined.

9. The method for improving the signal connection strength of a network communication device according to claim 8, characterized in that: The calculating of the unit phase and unit amplitude of the RIS unit in the network management system based on the communication user positioning includes: Analyzing RIS unit geometry of RIS units in the network management system; simulating signal propagation of the RIS cell based on the RIS cell geometry; analyzing the unit signal propagation characteristics of the RIS unit through the signal propagation; Determining the beam direction requirement of the RIS unit based on the communication user positioning; According to the beam direction requirement, the unit phase and unit amplitude of the RIS unit in the network management system are determined.

10. A signal connection strength enhancement system based on network communication equipment, characterized in that: The system is used to execute the method for improving the signal connection strength of a network communication device according to any one of claims 1 to 9, the system comprising: A multi-antenna system construction module is used to construct a network management system for network communication equipment, obtain network communication scenarios and communication users of the network communication equipment, analyze the communication environment characteristics and communication requirements of the network communication scenario, and based on the communication environment characteristics and communication requirements, use the antenna design unit in the network management system to construct a multi-antenna system for the network communication scenario; A communication signal quality analysis module, configured to, after sending a communication signal to the communication user through the multi-antenna system, monitor the signal quality data of the communication signal using a signal monitoring unit in the network management system, and calculate the signal-to-noise ratio, bit error rate, received signal strength, and signal-to-interference-to-noise ratio of the communication signal based on the signal quality data; A signal adaptive optimization module, used to construct a signal quality curve of the communication signal through the signal-to-noise ratio, bit error rate, received signal strength and signal-to-interference-noise ratio of the communication signal, analyze the signal trend of the communication signal through the signal quality curve using a trained signal analysis model, determine the signal gain requirement and signal adjustment parameters of the communication signal based on the signal quality curve and the signal trend, and adaptively optimize the communication signal through the signal gain requirement and the signal adjustment parameters to obtain an adaptively optimized signal; A communication user positioning module, used to obtain a user signal of the communication user, construct a multipath propagation model of the user signal, determine a channel impulse response of the user signal through the multipath propagation model, analyze the multipath components of the channel impulse response, and determine the communication user positioning of the communication user based on the multipath components; The signal connection strength enhancement module is used to calculate the unit phase and unit amplitude of the RIS unit in the network management system based on the positioning of the communication user, and to construct a focused beam of the communication user through the unit phase, unit amplitude and adaptive optimization signal, so as to improve the signal connection strength of the communication user through the focused beam.

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