CN118659811B

CN118659811B - Method and system for improving signal connection strength based on network communication equipment

Info

Publication number: CN118659811B
Application number: CN202411148269.4A
Authority: CN
Inventors: 张静; 王伟; 陈立勋; 高良荣
Original assignee: Shenzhen Maxtopic Technology Co ltd
Current assignee: Shenzhen Maxtopic Technology Co ltd
Priority date: 2024-08-21
Filing date: 2024-08-21
Publication date: 2024-12-06
Anticipated expiration: 2044-08-21
Also published as: CN118659811A

Abstract

The invention relates to the field of network communication and discloses a method and a system for improving signal connection strength based on network communication equipment, wherein the method comprises the steps of constructing a multi-antenna system of a network communication scene by utilizing an antenna design unit in a network management system; the method comprises the steps of monitoring signal quality data of communication signals, constructing a signal quality curve of the communication signals, analyzing signal trend of the communication signals, determining signal gain requirements and signal adjustment parameters of the communication signals, carrying out self-adaptive optimization on the communication signals to obtain self-adaptive optimized signals, constructing a multipath propagation model of user signals, determining channel impulse response of the user signals, determining communication user positioning of the communication users, calculating unit phases and unit amplitudes of RIS units in a network management system, constructing focused beams of the communication users, and realizing signal connection strength improvement of the communication users through the focused beams. The invention can improve the signal connection strength improving effect of the network communication equipment.

Description

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

Technical Field

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 a network communication device.

Background

The improvement of the signal connection strength of the network communication equipment refers to the process of improving the quality and reliability of communication by enhancing the performance of the network communication equipment (such as a mobile phone, a wireless access point, a base station and the like) in sending and receiving signals through a series of technical means and management measures, and the aim of the improvement of the signal connection strength is to provide faster, more reliable and more stable network communication service for users.

The conventional method for improving the signal connection strength mainly depends on means of increasing the transmitting power, optimizing the antenna layout, adjusting the frequency allocation and the like, and the methods generally cannot fully utilize the space diversity and the multipath effect of the multi-antenna system to determine the specific position and the direction of the user, so that the signal gain and the coverage accuracy are not high.

Disclosure of Invention

The invention provides a method and a system for improving signal connection strength based on network communication equipment, which mainly aim to improve the signal connection strength improving effect of the network communication equipment.

In order to achieve the above object, the present invention provides a method for improving signal connection strength based on network communication equipment, including:

Constructing a network management system of network communication equipment, acquiring a network communication scene and a communication user of the network communication equipment, analyzing communication environment characteristics and communication requirements of the network communication scene, and constructing a multi-antenna system of the network communication scene by utilizing an antenna design unit in the network management system based on the communication environment characteristics and the communication requirements;

After the multi-antenna system sends a communication signal to the communication user, a signal monitoring unit in the network management system is utilized to monitor signal quality data of the communication signal, and based on the signal quality data, the signal-to-noise ratio, the bit error rate, the received signal strength and the signal-to-interference-and-noise ratio of the communication signal are calculated;

Constructing a signal quality curve of the communication signal according to the signal-to-noise ratio, the error rate, the received signal strength and the signal-to-interference-and-noise ratio of the communication signal, analyzing the signal trend of the communication signal by using a trained signal analysis model through the signal quality curve, determining the signal gain requirement and the signal adjustment parameter of the communication signal based on the signal quality curve and the signal trend, and performing self-adaptive optimization on the communication signal according to the signal gain requirement and the signal adjustment parameter to obtain a self-adaptive optimized signal;

Acquiring a user signal of the communication user, constructing a multipath propagation model of the user signal, determining a channel impulse response of the user signal through the multipath propagation model, analyzing multipath components of the channel impulse response, and determining the communication user positioning of the communication user based on the multipath components;

Based on the communication user positioning, calculating the unit phase and the unit amplitude of the RIS unit in the network management system, constructing a focused beam of the communication user through the unit phase, the unit amplitude and the self-adaptive optimization signal, and improving the signal connection strength of the communication user through the focused beam.

Optionally, the constructing the multi-antenna system of the network communication scene by using the antenna design unit in the network management system based on the communication environment characteristics and the communication requirements includes:

based on the characteristics of the communication environment and the communication requirements, analyzing the data transmission rate, the coverage area and the user density of the network communication scene;

Determining the antenna type and the antenna parameters of the network communication scene through the data transmission rate, the coverage area and the user density;

Based on the antenna type and the antenna parameters, constructing an antenna layout of the network communication scene by using an antenna design unit in the network management system;

simulating the antenna performance of the antenna layout by using preset electromagnetic simulation software;

and when the antenna performance accords with a preset antenna performance threshold, constructing the multi-antenna system of the network communication scene based on the antenna layout.

Optionally, the calculating, based on the signal quality data, a signal-to-noise ratio, an error rate, a received signal strength, and a signal-to-interference-and-noise ratio of the communication signal includes:

Analyzing bit energy, noise power spectral density, bit duration, number of erroneous 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 through the bit energy, the noise power spectral density, the bit duration and the signal bandwidth;

According to the error bit number and the total bit number, calculating the error rate of the communication signal by using the following formula:

;

wherein, Indicating the bit error rate of the communication signal,Indicating the number of erroneous bits of the communication signal,Representing the total number of bits of the communication signal;

calculating the received signal strength of the communication signal using the bit energy, noise power spectral density and bit duration:

And calculating the signal-to-interference-and-noise ratio of the communication signal through the bit energy, the noise power spectral density, the bit duration and the signal bandwidth.

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

constructing a signal-to-noise ratio curve, an error rate curve, a received signal strength curve and a signal-to-interference-and-noise ratio curve of the communication signal, wherein the signal-to-noise ratio curve, the error rate curve, the received signal strength curve and the signal-to-interference-and-noise ratio curve of the communication signal are constructed;

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

calculating a residual error of the initial signal quality curve;

analyzing a normal distribution of the residual errors;

Based on the normal distribution of the residual error, analyzing the fitting degree of an initial signal quality curve;

And when the fitting degree accords with a preset fitting degree threshold, taking the initial signal quality curve as a signal quality curve of the communication signal.

Optionally, the adaptively optimizing the communication signal through the signal gain requirement and the signal adjustment parameter to obtain an adaptively optimized signal, which includes:

constructing an adaptive algorithm of the communication signal;

constructing adaptive parameters of the adaptive algorithm through the signal gain requirements and the signal adjustment parameters;

carrying out self-adaptive optimization on the communication signal by utilizing the self-adaptive algorithm through the self-adaptive parameters to obtain an initial self-adaptive optimized signal;

calculating an optimized signal quality of the initial adaptive optimized signal;

and when the optimized signal quality meets a preset signal quality standard, taking the initial adaptive optimized signal as an adaptive optimized signal.

Optionally, the constructing a multipath propagation model of the user signal includes:

identifying signal environment characteristics corresponding to the user signals;

determining the propagation model type of the user signal through the signal environment characteristics;

determining propagation model parameters of the user signal based on the propagation model type, wherein the propagation model parameters comprise reflection coefficients, scattering coefficients, multipath delays and multipath amplitudes;

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;

And when the signal propagation characteristics meet preset propagation characteristic standards, taking the initial multipath propagation model as a multipath propagation model of the user signal.

Optionally, the determining the channel impulse response of the user signal through the multipath propagation model includes:

constructing a multipath signal of the user signal based on the multipath propagation model;

calculating the signal amplitude and the signal delay of the multipath signal;

Calculating the channel impulse response of the user signal by using the following formula through the signal amplitude and the signal delay of the multipath signal:

;

wherein, Representing the channel impulse response of the user signal,Represent the firstThe signal amplitude of the strip multipath signal,Represent the firstThe signal delay of the strip multipath signal,Representing the unit impulse function,Representing the time of transmission of the multipath signal,Representing the number of multipath signals.

Optionally, the determining, based on the multipath component, a communication user location of the communication user includes:

constructing a sensor array of the communication user;

Marking the signal arrival time difference of the sensor corresponding to the sensor array through the multipath component;

Calculating the signal arrival angle difference of the sensor corresponding to the sensor array by using the following formula according to the signal arrival time difference:

;

wherein, Indicating the difference in the angle of arrival of the signal from the sensor,Representing the inverse of the sine function of the wave,The speed of light is indicated as being the speed of light,Indicating the time difference of arrival of the signal,Indicating the distance between the sensors and,Representing the signal wavelength;

And determining the communication user positioning of the communication user based on the signal arrival angle difference.

Optionally, the calculating the unit phase and the unit amplitude of the RIS unit in the network management system based on the communication subscriber location includes:

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

simulating signal propagation of the RIS unit based on the RIS unit geometry;

Analyzing the cell signal propagation characteristics of the RIS cell by the signal propagation;

determining a beam direction requirement of the RIS unit based on the communication user positioning;

And determining the unit phase and the unit amplitude of the RIS unit in the network management system according to the beam direction requirement.

In order to solve the above problems, the present invention further provides a system for improving signal connection strength based on a network communication device, the system comprising:

The system comprises a multi-antenna system construction module, a network management module and a network management module, wherein the multi-antenna system construction module is used for constructing a network management system of network communication equipment, acquiring a network communication scene and a communication user of the network communication equipment, analyzing communication environment characteristics and communication requirements of the network communication scene, and constructing the multi-antenna system of the network communication scene by utilizing an antenna design unit in the network management system based on the communication environment characteristics and the communication requirements;

the communication signal quality analysis module is used for monitoring signal quality data of the communication signal by utilizing a signal monitoring unit in the network management system after the communication signal is sent to the communication user through the multi-antenna system, and calculating the signal-to-noise ratio, the error rate, the received signal strength and the signal-to-interference-and-noise ratio of the communication signal based on the signal quality data;

The signal self-adaptive optimization module is used for constructing a signal quality curve of the communication signal through the signal-to-noise ratio, the error rate, the received signal strength and the signal interference noise ratio of the communication signal, analyzing the signal trend of the communication signal through the signal quality curve by utilizing a trained signal analysis model, determining the signal gain requirement and the signal adjustment parameter of the communication signal based on the signal quality curve and the signal trend, and carrying out self-adaptive optimization on the communication signal through the signal gain requirement and the signal adjustment parameter to obtain a self-adaptive optimized signal;

The communication user positioning module is used for acquiring a user signal of the communication user, constructing a multipath propagation model of the user signal, determining a channel impulse response of the user signal through the multipath propagation model, analyzing multipath components of the channel impulse response, and determining the communication user positioning of the communication user based on the multipath components;

And the signal connection strength improving module is used for calculating the unit phase and the unit amplitude of the RIS unit in the network management system based on the positioning of the communication user, constructing a focused beam of the communication user through the unit phase, the unit amplitude and the self-adaptive optimized signal, and improving the signal connection strength of the communication user through the focused beam.

The invention utilizes the antenna design unit in the network management system to construct a multi-antenna system of the network communication scene to realize the improvement of the signal connection strength; after the multi-antenna system sends a communication signal to the communication user, a signal monitoring unit in the network management system is utilized to monitor signal quality data of the communication signal as a basis for signal optimization in the later period; further, the invention builds a signal quality curve of the communication signal through the signal-to-noise ratio, the error rate, the received signal strength and the signal interference noise ratio of the communication signal, and can analyze the quality state of the communication signal more intuitively through the curve, thereby improving the signal improvement effect of the later stage, further, the invention can provide basis for signal optimization by analyzing the signal trend of the communication signal through the trained signal analysis model through the signal quality curve, and improve the performance of a communication system, further, the invention builds a multipath propagation model of the user signal as the basis for analyzing the position information of the user later stage, and then, the invention analyzes multipath components of the channel impulse response, and determines the communication user positioning of the communication user based on the multipath components, thereby improving the signal improvement effect of the user. Therefore, the invention can improve the signal connection strength improving effect of the network communication equipment.

Drawings

Fig. 1 is a flowchart of a method for improving signal connection strength based on a network communication device according to an embodiment of the present invention;

Fig. 2 is a functional block diagram of a signal connection strength improving system based on a network communication device according to an embodiment of the present invention;

fig. 3 is a schematic structural diagram of an electronic device of a system for improving signal connection strength based on a network communication device according to an embodiment of the present invention;

the achievement of the objects, functional features and advantages of the present invention will be further described with reference to the accompanying drawings, in conjunction with the embodiments.

Detailed Description

It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.

The embodiment of the application provides a signal connection strength improving method based on network communication equipment. The execution main body of the method for improving the signal connection strength based on the network communication equipment comprises at least one of electronic equipment, such as a server, a terminal and the like, which can be configured to execute the method provided by the embodiment of the application. In other words, the method for improving the signal connection strength based on the network communication device may be performed by software or hardware installed in the terminal device or the server device, where the software may be a blockchain platform. The server side comprises, but is not limited to, a single server, a server cluster, a cloud server or a cloud server cluster and the like. The server may be an independent server, or may be a cloud server that provides 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 basic cloud computing services such as big data and artificial intelligence platforms.

Referring to fig. 1, a flow chart of a method for improving signal connection strength based on a network communication device according to an embodiment of the invention is shown. In this embodiment, the method for improving signal connection strength based on the network communication device includes:

s1, a network management system of network communication equipment is built, a network communication scene and a communication user of the network communication equipment are obtained, communication environment characteristics and communication requirements of the network communication scene are analyzed, and based on the communication environment characteristics and the communication requirements, an antenna design unit in the network management system is utilized to build a multi-antenna system of the network communication scene.

It should be explained that, the network communication device refers to a hardware device for performing network communication, such as a mobile phone, a tablet computer, a router, an exchange, a base station, etc., the network management system refers to a software system for monitoring, controlling and managing the network communication device, the network communication scenario refers to various communication environments and conditions that the network communication device faces in actual use, and the communication user refers to a person or entity that uses the network communication device to perform communication, which may be an end user or other network devices.

The invention utilizes the antenna design unit in the network management system to construct the multi-antenna system of the network communication scene to realize the improvement of the signal connection strength.

In detail, the multi-antenna system for constructing the network communication scene by using the antenna design unit in the network management system based on the characteristics of the communication environment and the communication requirements comprises:

The data transmission rate refers to a data transmission rate between devices in a network communication scene, the coverage area of the network signal can be effectively transmitted, the number of users in the coverage area of the user density network is equal to that of the users, the antenna type is used for devices for transmitting and receiving signals and comprises an omni-directional antenna, a MIMO antenna and the like, the antenna parameters refer to specific configurations of the antenna such as gain, directivity, polarization mode, working frequency and the like, the antenna layout refers to an arrangement mode of the antenna in space and comprises the position, height, angle and the like of the antenna, the performance of the antenna performance antenna in a specific environment comprises signal strength, directivity, coverage area and the like, the antenna performance threshold is preset to evaluate whether the performance of the antenna layout meets requirements, and the multi-antenna system refers to a system consisting of a plurality of antennas and is used for enhancing signal coverage, improving transmission rate and increasing system capacity.

S2, after the communication signals are sent to the communication users through the multi-antenna system, the signal quality data of the communication signals are monitored by utilizing a signal monitoring unit in the network management system, and the signal-to-noise ratio, the error rate, the received signal strength and the signal-to-interference-and-noise ratio of the communication signals are calculated based on the signal quality data.

After the multi-antenna system sends the communication signal to the communication user, the signal quality data of the communication signal is monitored by the signal monitoring unit in the network management system and is used as the basis for signal optimization in the later period. In detail, the signal quality data refers to data describing signal quality of a communication signal.

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

;

Wherein the method comprises the steps of Indicating the bit error rate of the communication signal,Indicating the number of erroneous bits of the communication signal,Representing the total number of bits of the communication signal;

The bit energy refers to energy carried by each bit, the noise power spectral density refers to noise power in a unit bandwidth, the bit duration refers to duration of each bit in time, the error bit number refers to number of bits in a received bit sequence, the total bit number refers to total number of bits received, the signal bandwidth refers to a frequency range occupied by a signal, the signal-to-noise ratio refers to a ratio of signal power to noise power, the bit error rate refers to a ratio of received error bit number to total bit number, the received signal strength refers to a ratio of power of a received signal to a reference power, the signal-to-interference-noise ratio refers to a ratio of sum of signal power and noise power, and the reference power refers to a preset power value for comparing power of the received signal.

S3, constructing a signal quality curve of the communication signal through the signal-to-noise ratio, the bit error rate, the received signal strength and the signal-to-interference-and-noise ratio of the communication signal, analyzing the signal trend of the communication signal through the signal quality curve by utilizing a trained signal analysis model, determining the signal gain requirement and the signal adjustment parameter of the communication signal based on the signal quality curve and the signal trend, and carrying out self-adaptive optimization on the communication signal through the signal gain requirement and the signal adjustment parameter to obtain a self-adaptive optimized signal.

According to the invention, the signal quality curve of the communication signal is constructed through the signal-to-noise ratio, the bit error rate, the received signal strength and the signal-to-interference-and-noise ratio of the communication signal, and the quality state of the communication signal can be more intuitively analyzed through the curve, so that the effect of signal optimization in the later stage is improved.

In detail, the constructing a signal quality curve of the communication signal according to the signal-to-noise ratio, the bit error rate, the received signal strength and the signal-to-interference-and-noise ratio of the communication signal includes:

calculating a residual error of the initial signal quality curve;

analyzing a normal distribution of the residual errors;

The signal-to-noise ratio curve is a curve describing the change of the signal-to-noise ratio of a communication signal along with time, the error rate curve is a curve describing the change of the error rate of the communication signal along with time, the received signal strength curve is a curve describing the change of the received signal strength indication of the communication signal along with time, the signal-to-interference-and-noise ratio curve is a curve describing the change of the signal-to-interference-and-noise ratio of the communication signal along with time, the residual error is the difference between an actual observed value and a fitted curve in the curve fitting process, the normal distribution is a continuous probability distribution, a probability density function of the continuous probability distribution has a bell-shaped curve, the fitting degree is a measure describing the matching degree between a fitted model and actual observed data, a threshold of the fitting degree is a preset fitting degree standard for judging the quality of the fitted model, and the signal quality curve is a curve integrating a plurality of signal quality indexes for comprehensively evaluating the quality of the communication signal.

Optionally, the signal-to-noise ratio curve, the bit error rate curve, the received signal strength curve and the signal-to-interference-and-noise ratio curve are fitted, and the initial signal quality curve of the obtained communication signal can be fitted through a nonlinear regression model, a support vector machine model and the like.

According to the invention, through the signal quality curve, the signal trend of the communication signal is analyzed by using the trained signal analysis model, so that a basis can be provided for signal optimization, and the performance of a communication system is improved. The signal trend refers to a signal quality conversion state of the communication signal.

In detail, the signal trend of the communication signal analyzed by the signal quality curve and the trained signal analysis model can be identified by identifying the curve characteristics of the signal quality curve, such as the peak value, the valley value, the slope, the inflection point and other characteristics of the signal quality.

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 reach the predetermined communication quality standard, and the signal adjustment parameters refer to parameters that can be changed to optimize the signal transmission, including parameters such as the transmitting power, the antenna direction, the modulation mode, the coding scheme, and the like.

And carrying out self-adaptive optimization on the communication signal through the signal gain requirement and the signal adjustment parameter to obtain a self-adaptive optimized signal, so that the self-adaptive optimization of the signal can be carried out, and the transmission quality and the transmission efficiency of the signal are improved.

In detail, the adaptively optimizing the communication signal through the signal gain requirement and the signal adjustment parameter to obtain an adaptively optimized signal, which includes:

constructing an adaptive algorithm of the communication signal;

The adaptive algorithm can dynamically adjust transmission parameters and gain thresholds of signals according to changes of signal quality, parameters to be adjusted in the adaptive parameter adaptive algorithm may include transmitting power, antenna direction, modulation mode, coding scheme, gain power and the like, the initial adaptive optimization signal inputs the adaptive parameters into the adaptive algorithm, the adaptive optimization signal performs adaptive optimization on communication signals, the optimized signal quality refers to 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, and the adaptive optimization signal refers to an optimization signal with quality requirements meeting the standard.

S4, obtaining the user signal of the communication user, constructing a multipath propagation model of the user signal, determining the channel impulse response of the user signal through the multipath propagation model, analyzing multipath components of the channel impulse response, and determining the communication user positioning of the communication user based on the multipath components.

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

The invention builds the multipath propagation model of the user signal to be used as a basis for analyzing the position information of the user in the later period.

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

The signal environment characteristics refer to environmental conditions where a description signal is located in a transmission process, including factors such as topography, buildings, vegetation, weather and the like, the propagation model type refers to a mathematical model for describing propagation behaviors of the signal in a specific environment, the reflection coefficient refers to a proportion of the description signal reflected after encountering an obstacle, the scattering coefficient refers to a degree of scattering of the description signal after encountering the obstacle, the multipath time delay refers to a time difference when the description signal reaches a receiving end through different paths, the multipath amplitude refers to a magnitude difference when the description signal reaches the receiving end through different paths, the initial multipath propagation model refers to a preliminary multipath propagation model constructed according to the signal environment characteristics and the propagation model type, the signal propagation characteristics refer to characteristics shown by the description signal in the propagation process, such as signal strength, time delay, phase and the like, the propagation characteristic standard refers to a preset signal propagation characteristic standard for evaluating the quality of the propagation model, and the multipath propagation model refers to a multipath propagation model which can accurately reflect the propagation characteristics of the signal in an actual environment after verification and adjustment.

The invention can estimate the propagation path and time delay of the signal more accurately by determining the channel impulse response of the user signal through the multipath propagation model, thereby improving the positioning accuracy of the communication user.

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

calculating the signal amplitude and the signal delay of the multipath signal;

;

The multipath signal refers to multiple copies generated by describing the transmission of the signal through different paths in the propagation process, the signal amplitude refers to the strength or the 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 the transmission of the channel.

Further, the calculating of the signal amplitude and the signal delay of the multipath signal can be obtained by performing time domain feature extraction analysis on the generated multipath signal.

The invention analyzes the multipath component of the channel impulse response, and determines the communication user positioning of the communication user based on the multipath component to pertinently promote the signal of the user, thereby improving the signal promotion effect of the user.

In detail, the determining, based on the multipath component, a communication user location of the communication user includes:

constructing a sensor array of the communication user;

;

Wherein the sensor array refers to a group of sensors arranged in a positioning system, the signal arrival time difference refers to the time difference that signals sent by the same signal source reach different sensors through different paths, the signal arrival angle difference refers to the angle difference between signals corresponding to sensors when the signals sent by the same signal source reach different sensors through different paths, the inverse function of the sine function of the arcsine function is used, and the signal wavelength refers to the distance required by the signals to propagate a complete wavelength in space.

Further, the communication user positioning of the communication user is determined based on the signal arrival angle difference, a triangle of the sensor array is constructed through the signal arrival angle difference, and the communication user positioning is performed by identifying the intersection point of the triangle.

S5, calculating the unit phase and the unit amplitude of the RIS unit in the network management system based on the communication user positioning, constructing a focused beam of the communication user through the unit phase, the unit amplitude and the self-adaptive optimization signal, and improving the signal connection strength of the communication user through the focused beam.

Based on the communication user positioning, the invention calculates the unit phase and the unit amplitude of the RIS unit in the network management system so as to realize the accurate control and optimization of signals.

In detail, the calculating the unit phase and the unit amplitude of the RIS unit in the network management system based on the communication subscriber location includes:

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

simulating signal propagation of the RIS unit based on the RIS unit geometry;

The RIS unit geometry is used for describing the spatial layout and arrangement mode of RIS units in the RIS system, the signal propagation is used for describing the propagation process of signals on the RIS units, the unit signal propagation characteristics are used for describing the influence of the RIS units on the signal propagation, the influence comprises phases, amplitudes, polarization and the like of the signals, the beam direction requirement is used for describing the beam direction required to be formed by the RIS units in order to meet specific communication requirements, the unit phase is used for describing the phase setting of each tunable unit on the RIS units, and the unit amplitude is used for describing the amplitude setting of each tunable unit on the RIS units.

Alternatively, the simulating the signal propagation of the RIS unit based on the RIS unit geometry may be simulated by electromagnetic field calculation methods (e.g., finite difference time domain method FDTD, moment method MOM, etc.).

It should be noted that, the focused beam means a beam focused in the direction of the communication user.

Finally, the invention realizes the targeted improvement of the signal connection strength of the communication user through the focused beam.

Fig. 2 is a functional block diagram of a system for improving signal connection strength based on a network communication device according to an embodiment of the present invention.

The system 200 for improving the signal connection strength based on the network communication device can be installed in an electronic device. Depending on the implementation function, the system 200 for improving the signal connection strength based on the network communication device may 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 improvement module 205. The module of the invention, which may also be referred to as a unit, refers to a series of computer program segments, which are stored in the memory of the electronic device, capable of being executed by the processor of the electronic device and of performing a fixed function.

In the present embodiment, the functions concerning the respective modules/units are as follows:

The multi-antenna system construction module 201 is configured to construct a network management system of a network communication device, obtain a network communication scene and a communication user of the network communication device, analyze a communication environment characteristic and a communication requirement of the network communication scene, and construct a multi-antenna system of the network communication scene by using an antenna design unit in the network management system based on the communication environment characteristic and the communication requirement;

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

the signal adaptive optimization module 203 is configured to construct a signal quality curve of the communication signal according to a signal-to-noise ratio, an error rate, a received signal strength, and a signal-to-interference-and-noise ratio of the communication signal, analyze a signal trend of the communication signal according to the signal quality curve by using a trained signal analysis model, determine a signal gain requirement and a signal adjustment parameter of the communication signal based on the signal quality curve and the signal trend, and perform adaptive optimization on the communication signal according to the signal gain requirement and the signal adjustment parameter to obtain an adaptive optimized signal;

The communication user positioning module 204 is configured 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 multipath components of the channel impulse response, and determine a communication user position of the communication user based on the multipath components;

the signal connection strength improving module 205 is configured to calculate a unit phase and a unit amplitude of an RIS unit in the network management system based on the communication user positioning, construct a focused beam of the communication user according to the unit phase, the unit amplitude and the adaptive optimization signal, and improve the signal connection strength of the communication user according to the focused beam.

In detail, each module in the system 200 for improving signal connection strength based on network communication equipment in the embodiment of the present invention adopts the same technical means as the method for improving signal connection strength based on network communication equipment in the drawings when in use, and can produce the same technical effects, which are not described herein.

The embodiment of the invention provides electronic equipment for realizing a method for improving the signal connection strength based on network communication equipment.

Referring to fig. 3, the electronic device may include a processor 30, a memory 31, a communication bus 32, and a communication interface 33, and may further include a computer program stored in the memory 31 and executable on the processor 30, such as a signal connection strength improving method program based on a network communication device.

The processor may be formed by an integrated circuit in some embodiments, for example, a single packaged integrated circuit, or may be formed by a plurality of integrated circuits packaged with the same function or different functions, including one or more central processing units (Central Processing Unit, CPU), microprocessors, digital processing chips, graphics processors, and combinations of various control chips. The processor is a Control Unit (Control Unit) of the electronic device, connects various components of the entire electronic device using various interfaces and lines, executes or executes programs or modules stored in the memory (for example, executes a signal connection strength improvement program based on a network communication device, etc.), and invokes data stored in the memory to perform various functions of the electronic device and process data.

The memory includes at least one type of readable storage medium including flash memory, removable hard disk, multimedia card, card memory (e.g., SD or DX memory, etc.), magnetic memory, magnetic disk, optical disk, etc. The memory may in some embodiments be an internal storage unit of the electronic device, such as a mobile hard disk of the electronic device. The memory may also be an external storage device of the electronic device in other embodiments, such as a plug-in mobile hard disk, a smart memory card (SMART MEDIA CARD, SMC), a Secure Digital (SD) card, a flash memory card (FLASH CARD), etc. that are provided on the electronic device. Further, the memory may also include both internal storage units and external storage devices of the electronic device. The memory may be used not only for storing application software installed in an electronic device and various types of data, for example, codes based on a signal connection strength improvement program based on a network communication device, etc., but also for temporarily storing data that has been output or is to be output.

The communication bus may be a peripheral component interconnect standard (PERIPHERAL COMPONENT INTERCONNECT, PCI) bus, or an extended industry standard architecture (Extended Industry Standard Architecture, EISA) bus, or the like. The bus may be classified as an address bus, a data bus, a control bus, etc. The bus is arranged to enable a connection communication between the memory and at least one processor or the like.

The communication interface is used for communication between the electronic equipment and other equipment, and comprises a network interface and a user interface. Optionally, the network interface may include a wired interface and/or a wireless interface (e.g., WI-FI interface, bluetooth interface, etc.), typically 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), or alternatively a standard wired interface, a wireless interface. Alternatively, in some embodiments, the display may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, an OLED (Organic Light-Emitting Diode) touch, or the like. The display may also be referred to as a display screen or display unit, as appropriate, for displaying information processed in the electronic device and for displaying a visual user interface.

For example, although not shown, the electronic device may further include a power source (such as a battery) for powering the respective components, and preferably, the power source may be logically connected to the at least one processor through a power management system, so as to perform functions of charge management, discharge management, and power consumption management through the power management system. The power supply may also include one or more of any of a direct current or alternating current power supply, a recharging system, a power failure detection circuit, a power converter or inverter, a power status indicator, and the like. The electronic device may further include various sensors, bluetooth modules, wi-Fi modules, etc., which are not described herein.

It should be understood that the embodiments described are for illustrative purposes only and are not limited to this configuration in the scope of the patent application.

The signal connection strength improving program stored in the memory of the electronic device and based on the network communication device is a combination of a plurality of instructions, and when running in the processor, the method can be implemented:

Specifically, the specific implementation method of the above instruction by the processor may refer to descriptions of related steps in the corresponding embodiment of the drawings, which are not repeated herein.

Further, the electronic device integrated modules/units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable storage medium. The computer readable storage medium may be volatile or nonvolatile. For example, the computer readable medium may include any entity or system capable of carrying the computer program code, a recording medium, a U disk, a removable hard disk, a magnetic disk, an optical disk, a computer Memory, a Read-Only Memory (ROM).

The present invention also provides a computer readable storage medium storing a computer program which, when executed by a processor of an electronic device, can implement:

In the several embodiments provided by the present invention, it should be understood that the disclosed apparatus, system and method may be implemented in other manners. For example, the system embodiments described above are merely illustrative, e.g., the division of the modules is merely a logical function division, and other manners of division may be implemented in practice.

The modules described as separate components may or may not be physically separate, and components shown as modules may or may not be physical units, may be located in one place, or may be distributed over 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.

In addition, each functional module in the embodiments of the present invention may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units can be realized in a form of hardware or a form of hardware and a form of software functional modules.

It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential characteristics thereof.

The present embodiments are, therefore, to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference signs in the claims shall not be construed as limiting the claim concerned.

The embodiment of the application can acquire and process the related data based on the artificial intelligence technology. Wherein artificial intelligence (ARTIFICIAL INTELLIGENCE, AI) is the theory, method, technique, and application system that uses a digital computer or a digital computer-controlled machine to simulate, extend, and expand human intelligence, sense the environment, acquire knowledge, and use knowledge to obtain optimal results.

Furthermore, it is evident that the word "comprising" does not exclude other elements or steps, and that the singular does not exclude a plurality. Multiple units or systems as set forth in the system claims may also be implemented by means of one unit or system in software or hardware. The terms first, second, etc. are used to denote a name, but not any particular order.

Finally, it should be noted that the above-mentioned embodiments are merely for illustrating the technical solution of the present invention and not for limiting the same, and although the present invention has been described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications and equivalents may be made to the technical solution of the present invention without departing from the spirit and scope of the technical solution of the present invention.

Claims

1. A method for improving signal connection strength based on network communication equipment, the method comprising:

2. The method for improving signal connection strength based on network communication equipment according to claim 1, wherein the constructing the multi-antenna system of the network communication scene by using the antenna design unit in the network management system based on the characteristics of the communication environment and the communication requirements comprises:

3. The method for improving signal connection strength based on network communication equipment according to claim 2, wherein the calculating the signal-to-noise ratio, the bit error rate, the received signal strength, and the signal-to-interference-and-noise ratio of the communication signal based on the signal quality data comprises:

;

4. The method for improving signal connection strength based on network communication equipment according to claim 3, wherein the constructing a signal quality curve of the communication signal by using a signal-to-noise ratio, an error rate, a received signal strength, and a signal-to-interference-and-noise ratio of the communication signal comprises:

calculating a residual error of the initial signal quality curve;

analyzing a normal distribution of the residual errors;

5. The method for improving signal connection strength based on network communication equipment according to claim 4, wherein said adaptively optimizing said communication signal by said signal gain requirement and said signal adjustment parameter to obtain an adaptively optimized signal comprises:

constructing an adaptive algorithm of the communication signal;

6. The method for improving signal connection strength based on network communication equipment according to claim 5, wherein said constructing a multipath propagation model of said user signal comprises:

7. The method for improving signal connection strength of a network communication device according to claim 6, wherein the determining the channel impulse response of the user signal by the multipath propagation model comprises:

calculating the signal amplitude and the signal delay of the multipath signal;

;

8. The method for improving signal connection strength based on network communication equipment according to claim 7, wherein said determining a communication user location of said communication user based on said multipath component comprises:

constructing a sensor array of the communication user;

;

9. The method for improving signal connection strength based on network communication equipment according to claim 8, wherein the calculating the cell phase and the cell amplitude of the RIS cell in the network management system based on the communication subscriber location comprises:

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

simulating signal propagation of the RIS unit based on the RIS unit geometry;

10. A system for improving signal connection strength based on a network communication device, for performing the method for improving signal connection strength based on a network communication device according to any one of claims 1 to 9, the system comprising: