Multi-antenna intelligent communication system

Abstract

The invention discloses a multi-antenna intelligent communication system, which comprises a central processing unit, and the central processing unit is connected with an antenna array module, an intelligent reflecting surface module, an intelligent beam forming module, an interference management and safety communication module and a resource allocation and optimization module. The invention belongs to the technical field of intelligent communication, and by integrating a multi-antenna technology, an intelligent reflecting surface, intelligent beam forming, interference management and secure communication, and a resource allocation and optimization technology, the intelligent and adaptive capabilities of the system are improved, dynamic adjustment can be performed according to a real-time communication environment and user requirements, and the user experience is improved. Therefore, the overall anti-interference capability and safety are improved, high-speed, low-delay and high-capacity communication is realized, and the system has a wide market prospect.

Description

Technical Field

[0001] The present invention relates to the field of intelligent communication technology, and in particular to a multi-antenna intelligent communication system. Background Art

[0002] With the rapid development of information technology, wireless communication systems play an increasingly important role in modern society. From the early 2G and 3G to today's 4G, 5G and even the future 6G technology, wireless communication systems are constantly undergoing innovation and upgrading. Among them, multi-antenna technology, as one of the important means to improve the performance of wireless communication systems, has received extensive attention and research in recent years. Multi-antenna intelligent communication systems use arrays composed of multiple antenna elements to transmit and receive signals, thereby significantly improving communication quality and system capacity.

[0003] Although multi-antenna technology has made significant progress in wireless communication systems, the existing technology still has some shortcomings. Traditional multi-antenna systems often lack sufficient intelligence and adaptability in design, and are difficult to dynamically adjust according to real-time communication environments and user needs, resulting in weak overall anti-interference capabilities and security of the system. Therefore, it is necessary to propose a multi-antenna intelligent communication system. Summary of the invention

[0004] To this end, the present invention provides a multi-antenna intelligent communication system to solve the above problems in the prior art.

[0005] In order to achieve the above object, the present invention provides the following technical solutions:

[0006] A multi-antenna intelligent communication system, comprising a central processor, wherein the central processor is connected to:

[0007] Antenna array module, responsible for signal transmission and reception, using multiple antenna arrays to improve system capacity and coverage;

[0008] The intelligent reflector module is responsible for adjusting the phase and / or amplitude of the incident signal through the passive reflector unit to enhance the signal strength at the target receiving end;

[0009] The intelligent beamforming module is responsible for optimizing the phase and amplitude of each antenna in the antenna array module, focusing the signal energy in a specified direction to achieve directional transmission and reception of signals;

[0010] Interference management and secure communication module, used to monitor interference signals in the communication environment in real time and suppress them to ensure the security of communication;

[0011] The resource allocation and optimization module is responsible for the reasonable allocation and optimization of resources in the system.

[0012] As a further optimized solution of the present invention, the antenna array module includes

[0013] Transmitting antenna unit: used to convert digital signals into radio frequency signals and transmit them;

[0014] Receiving antenna unit: used to receive radio frequency signals and convert them into digital signals;

[0015] Antenna selection unit: Dynamically selects the optimal antenna or antenna combination based on the communication environment and user needs.

[0016] As a further optimized solution of the present invention, the intelligent reflective surface module comprises

[0017] Reflector array: It consists of multiple passive reflector arrays and is used to adjust the phase and amplitude of the signal.

[0018] Control unit: responsible for dynamically adjusting the phase and amplitude of the reflection unit according to system requirements.

[0019] As a further optimized solution of the present invention, the smart beamforming module includes

[0020] Beamformer: responsible for calculating the phase and amplitude adjustment values ​​of each antenna;

[0021] Signal processing unit: decodes, estimates and reconstructs the received signal, and preprocesses the transmitted signal.

[0022] As a further optimized solution of the present invention, the interference management and safety communication module includes

[0023] Interference detection unit: real-time monitoring of interference levels in the system;

[0024] Interference suppression unit: uses frequency domain, time domain interference suppression technology and intelligent beamforming technology to reduce interference;

[0025] Security encryption unit: Encrypts the transmitted data to ensure the security of communication.

[0026] As a further optimized solution of the present invention, the resource allocation and optimization module includes

[0027] Power control unit: dynamically adjusts the transmit power according to communication quality and power consumption requirements;

[0028] Spectrum management unit: realize efficient use of spectrum and avoid waste and conflict of spectrum resources;

[0029] Resource optimization algorithm unit: uses advanced optimization algorithms, such as alternating optimization methods, to optimize the system's resource allocation.

[0030] A communication method for a multi-antenna intelligent communication system, the method steps are as follows:

[0031] The S1 antenna array module converts digital signals into RF signals and pre-processes the signals through the intelligent beamforming module to achieve directional transmission;

[0032] The S2 signal is transmitted through the antenna array and the smart reflector module. The smart reflector module dynamically adjusts the phase and amplitude of the reflector unit according to system requirements to optimize the signal transmission path;

[0033] The S3 antenna array module receives RF signals and converts them into digital signals, and the smart beamforming module decodes, estimates, and reconstructs the received digital signals;

[0034] S4 monitors the interference level in the system in real time through the interference management and security communication module, and adopts corresponding interference suppression technology and security encryption algorithm to ensure the security and stability of communication;

[0035] The S5 resource allocation and optimization module dynamically allocates and optimizes resources according to system requirements and communication environment to improve the overall performance of the system.

[0036] The present invention has the following advantages:

[0037] The system improves the intelligence and adaptability of the system by integrating multi-antenna technology, intelligent reflective surfaces, intelligent beamforming, interference management and secure communications, resource allocation and optimization technology. It can be dynamically adjusted according to the real-time communication environment and user needs, thereby improving the overall anti-interference ability and security, and achieving high-speed, low-latency, and high-capacity communications. It has broad market prospects. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] Figure 1 is a system block diagram of the present invention;

[0039] Figure 2 It is a schematic diagram of the method flow of the present invention. DETAILED DESCRIPTION

[0040] The following is a description of the implementation of the present invention by specific embodiments. People familiar with the art can easily understand other advantages and effects of the present invention from the contents disclosed in this specification. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0041] like Figure 1As shown, a multi-antenna intelligent communication system includes a central processor, and the central processor is connected to an antenna array module, an intelligent reflector module, an intelligent beamforming module, an interference management and security communication module, and a resource allocation and optimization module;

[0042] The antenna array module is responsible for transmitting and receiving signals, and uses a multi-antenna array to improve system capacity and coverage;

[0043] The intelligent reflector module adjusts the phase and / or amplitude of the incident signal through the passive reflector unit. This adjustment can make the reflected signal constructively interfere with the signal from other paths, thereby enhancing the signal strength at the target receiving end and improving the overall performance of the system.

[0044] The smart beamforming module is responsible for optimizing the phase and amplitude of each antenna in the antenna array module, focusing the signal energy in a specified direction to achieve directional transmission and reception of signals;

[0045] The interference management and secure communication module monitors interference signals in the communication environment in real time and suppresses them to ensure the security of communication;

[0046] The resource allocation and optimization module is responsible for reasonably allocating and optimizing various resources in the system, such as power, spectrum, time slot, etc., to meet the communication needs of different users.

[0047] In this embodiment, the antenna array module includes

[0048] Transmitting antenna unit: used to convert digital signals into radio frequency signals and transmit them;

[0049] The digital signal is converted into an analog signal through a digital-to-analog converter, and then the analog signal is moved from a lower baseband frequency to a higher radio frequency (RF) through an up-converter. The RF signal is amplified by a power amplifier to meet the power requirements of the antenna transmission. The amplified RF signal is filtered to remove unnecessary harmonics and spurious components, and then sent to the antenna array for transmission;

[0050] Receiving antenna unit: used to receive radio frequency signals and convert them into digital signals;

[0051] The RF signal is amplified by a low noise amplifier, and the amplified RF signal is mixed with the local oscillator (LO) signal through a mixer, down-converted to an intermediate frequency (IF) or baseband, filtered and amplified by a filter, and converted into a digital signal by an analog-to-digital converter to complete the signal reception;

[0052] Antenna selection unit: dynamically selects the optimal antenna or antenna combination according to the communication environment and user needs;

[0053] Assume that a MIMO system is equipped with 4 transmit antennas and 4 receive antennas. The antenna selection unit needs to select the optimal antenna combination based on the current communication environment and user needs. The specific steps are as follows:

[0054] 1. Channel state information acquisition: The system first obtains the current channel state information (CSI) through channel estimation technology, including channel gain, phase and other parameters;

[0055] 2. User demand analysis: Analyze current user needs, such as data transmission rate, bit error rate requirements, etc.

[0056] 3. Antenna selection criteria: Based on channel status information and user requirements, the system selects the maximum channel capacity criterion as the basis for antenna selection;

[0057] 4. Antenna selection algorithm: Use an antenna selection algorithm, such as an exhaustive search algorithm, a greedy algorithm, or a heuristic algorithm, to search for the optimal antenna combination;

[0058] 5. Determine the optimal antenna combination: Determine the optimal antenna combination according to the antenna selection algorithm. Assume that through the exhaustive search algorithm, the system finds the optimal antenna combination as {1,3}, that is, select the first and third transmitting antennas for data transmission;

[0059] 6. System performance evaluation: Evaluate the system performance after selecting the optimal antenna combination, such as data transmission rate, bit error rate, etc., assuming that the optimal antenna combination is selected.

[0060] In this embodiment, the smart reflective surface module includes

[0061] Reflector array: It consists of multiple passive reflector arrays and is used to adjust the phase and amplitude of the signal.

[0062] Control unit: responsible for dynamically adjusting the phase and amplitude of the reflection unit according to system requirements;

[0063] The specific steps of the intelligent reflective surface module (IRS) are as follows:

[0064] 1. The IRS first receives the RF signal from the antenna array module. Each reflective element independently adjusts the phase of the incident signal. The adjustment is based on the optimization goal, such as maximizing the signal strength at the receiving end, meeting specific safety rate constraints, etc. (Phase adjustment can be achieved by changing the physical structure of the reflective element or using electronic components to ensure that the reflected signal interferes constructively with the signal in the desired direction);

[0065] 2. The adjusted signal is reflected and transmitted to the target receiving end through the wireless channel. In this process, IRS can act as a relay or enhancer to help the signal bypass obstacles and improve the transmission quality. The path of the reflected signal may include a direct link and a link reflected by the IRS, both of which work together on the receiving end;

[0066] 3. Optimize the number and phase configuration of the IRS reflective elements through a resource allocation algorithm (e.g., a robust resource allocation algorithm) to achieve the best communication performance. The resource allocation algorithm jointly optimizes the BS beamforming vector, the covariance matrix of the artificial noise, and the phase shift matrix of the IRS under the conditions of channel uncertainty, interference, and safety rate constraints (the specific optimization steps may include converting a non-convex optimization problem into a convex problem, iteratively solving it using an alternating optimization method, etc.);

[0067] 4. Evaluate system performance through simulation or actual testing, including indicators such as security rate and system energy efficiency. Based on the evaluation results, further adjust the parameters of IRS to improve system performance. The feedback mechanism can help the system adapt to dynamic changes in channels and user needs.

[0068] Taking the anti-interference secure communication system assisted by intelligent reflective surface as an example, this system improves the communication quality and security through intelligent reflective surface and robust resource allocation algorithm when facing malicious interference attacks and eavesdropping. The specific implementation steps are as follows:

[0069] a. Define a communication system model including BS, IRS, legitimate users and eavesdroppers;

[0070] b. Design a robust resource allocation algorithm to jointly optimize the BS beamforming vector, the covariance matrix of the artificial noise, and the phase shift matrix of the IRS, and use continuous convex approximation, alternating optimization and other methods to transform the non-convex optimization problem into a solvable convex problem;

[0071] c. Evaluate the system's safety rate and system energy efficiency indicators through simulation, and analyze the impact of different parameters (such as the number of IRS reflection units, the number of BS antennas, interference power, etc.) on system performance;

[0072] d. According to the simulation results, adjust the parameters of IRS to optimize system performance, consider the cost, demand and other factors in actual deployment, and select the optimal number of IRS reflector units;

[0073] The intelligent reflector module achieves effective focusing of signal energy and significant improvement of transmission quality by dynamically adjusting the phase and amplitude of the reflective element and using complex resource allocation algorithms.

[0074] In this embodiment, the smart beamforming module includes

[0075] Beamformer: responsible for calculating the phase and amplitude adjustment values ​​of each antenna;

[0076] Signal processing unit: decodes, estimates and reconstructs received signals, and preprocesses transmitted signals;

[0077] The specific steps of smart beamforming are as follows:

[0078] 1. Receive RF signals from different directions through the antenna array. After being processed by the RF front end, these signals are converted into analog signals that can be processed by the subsequent digital signal processor (DSP);

[0079] 2. The analog signal is converted into a digital signal and sent to the DSP for processing. The DSP uses advanced algorithms (such as maximum ratio combining, zero-order beamforming, minimum mean square error beamforming, etc.) to calculate the phase and amplitude adjustment values ​​of each antenna element;

[0080] The maximum ratio combining algorithm is preferred: by maximizing the signal-to-noise ratio of the received signal, the signal energy is focused in a specific direction, and the phase and amplitude adjustment values ​​of each antenna element are calculated. It is suitable for multipath propagation environments and can effectively suppress multipath interference.

[0081] 3. Based on the phase and amplitude adjustment values ​​calculated by the DSP, the signal of each antenna element is adjusted accordingly through the phase shifter and attenuator in the RF chain, ensuring that the signal forms a narrow beam in space and focuses on a specific receiver;

[0082] 4. At the transmitting end, the DSP calculates the phase and amplitude of the signal that each antenna element should transmit. The RF link converts these digital signals into RF signals and transmits them through the antenna array.

[0083] 5. During actual communication, the system may dynamically adjust and optimize the beamforming algorithm based on the received feedback signals (such as channel state information, signal quality indication, etc.) to ensure that the system can adapt to changes in the communication environment and always maintain the best communication performance;

[0084] Taking the Maximum Ratio Combining (MRC) algorithm as an example, by adjusting the weights of each antenna in the receiving antenna array, the received signal reaches the maximum signal-to-noise ratio in a specific direction. Assume that there are N receiving antennas and the signal received by each antenna is s i (t), (where i = 1, 2, ···, N), the combined signal can be expressed as:

[0085]

[0086] Among them, wi is the weight coefficient of the i-th antenna. The goal of the MRC algorithm is to maximize the signal-to-noise ratio of the combined signal, that is,

[0087]

[0088] Where hi is the channel gain between the ith antenna and the transmitter, s(t) is the transmitted signal, is the noise power received by the i-th antenna. The optimal weight coefficient wi is solved by maximizing the SNR to achieve maximum ratio combining.

[0089] In this embodiment, the interference management and safety communication module includes

[0090] Interference detection unit: real-time monitoring of interference levels in the system;

[0091] Interference suppression unit: uses frequency domain, time domain interference suppression technology and intelligent beamforming technology to reduce interference;

[0092] Security encryption unit: encrypts the transmitted data to ensure the security of communication;

[0093] The specific steps are as follows:

[0094] 1. Use antenna arrays and signal processing algorithms to perform spectrum analysis and feature extraction on received signals, compare the extracted features with known interference patterns, and identify the type and source of interference;

[0095] 2. Use subcarrier allocation or spectrum separation technology to avoid spectrum overlap between different users and reduce frequency domain interference. Use precise time slot allocation and signal processing technology to ensure that signals from different users do not overlap in time, thereby reducing time domain interference.

[0096] 3. By adjusting the phase and amplitude of the antenna array, the signal energy is focused in the direction of the target user, reducing interference from non-target users;

[0097] 4. Use intelligent reflecting surface (IRS) to adjust the reflection coefficient, change the signal propagation path, increase the difficulty of eavesdropping, and improve the physical layer security of the communication system.

[0098] In this embodiment, the resource allocation and optimization module includes

[0099] Power control unit: dynamically adjusts the transmit power according to communication quality and power consumption requirements;

[0100] Spectrum management unit: realize efficient use of spectrum and avoid waste and conflict of spectrum resources;

[0101] Resource optimization algorithm unit: uses advanced optimization algorithms, such as alternating optimization methods, to optimize the resource allocation of the system;

[0102] The specific steps are as follows:

[0103] 1. Model the wireless communication system, including channel model, user location, interference source and other factors, and analyze the communication requirements and constraints of the system, such as the user's minimum safe rate, maximum transmission power, etc.;

[0104] 2. Design resource allocation strategies, including power control, spectrum allocation, and time slot allocation, based on system models and constraints. Use intelligent algorithms (such as alternating optimization and continuous convex approximation) to transform complex non-convex optimization problems into convex optimization problems that are easy to solve.

[0105] 3. Use mathematical optimization tools or intelligent algorithms to solve resource allocation optimization problems, obtain optimal or suboptimal resource allocation solutions, verify and analyze the solution results, and ensure that the solution meets the communication requirements and constraints of the system;

[0106] Through reasonable resource allocation and optimization, the system security can be improved, power consumption can be reduced, and anti-interference margin can be increased, thereby meeting various needs in complex communication environments.

[0107] like Figure 2 As shown, a communication method of a multi-antenna intelligent communication system, the method steps are as follows:

[0108] The S1 antenna array module converts digital signals into RF signals and pre-processes the signals through the intelligent beamforming module to achieve directional transmission;

[0109] The S2 signal is transmitted through the antenna array and the smart reflector module. The smart reflector module dynamically adjusts the phase and amplitude of the reflector unit according to system requirements to optimize the signal transmission path;

[0110] The S3 antenna array module receives RF signals and converts them into digital signals, and the smart beamforming module decodes, estimates, and reconstructs the received digital signals;

[0111] S4 monitors the interference level in the system in real time through the interference management and security communication module, and adopts corresponding interference suppression technology and security encryption algorithm to ensure the security and stability of communication;

[0112] The S5 resource allocation and optimization module dynamically allocates and optimizes resources according to system requirements and communication environment to improve the overall performance of the system.

Claims

1. A multi-antenna intelligent communication system, comprising a central processing unit, characterized in that: The central processing unit is connected with: Antenna array module, responsible for signal transmission and reception, using multiple antenna arrays to improve system capacity and coverage; The intelligent reflector module is responsible for adjusting the phase and / or amplitude of the incident signal through the passive reflector unit to enhance the signal strength at the target receiving end; The intelligent beamforming module is responsible for optimizing the phase and amplitude of each antenna in the antenna array module, focusing the signal energy in a specified direction to achieve directional transmission and reception of signals; Interference management and secure communication module, used to monitor interference signals in the communication environment in real time and suppress them to ensure the security of communication; The resource allocation and optimization module is responsible for the reasonable allocation and optimization of resources in the system.

2. A multi-antenna intelligent communication system according to claim 1, characterized in that: The antenna array module comprises Transmitting antenna unit: used to convert digital signals into radio frequency signals and transmit them; Receiving antenna unit: used to receive radio frequency signals and convert them into digital signals; Antenna selection unit: Dynamically selects the optimal antenna or antenna combination based on the communication environment and user needs.

3. A multi-antenna intelligent communication system according to claim 1, characterized in that: The smart reflective surface module comprises Reflector array: It consists of multiple passive reflector arrays and is used to adjust the phase and amplitude of the signal. Control unit: responsible for dynamically adjusting the phase and amplitude of the reflection unit according to system requirements.

4. A multi-antenna intelligent communication system according to claim 1, characterized in that: The smart beamforming module includes Beamformer: responsible for calculating the phase and amplitude adjustment values ​​of each antenna; Signal processing unit: decodes, estimates and reconstructs the received signal, and preprocesses the transmitted signal.

5. The multi-antenna intelligent communication system according to claim 1, characterized in that: The interference management and safety communication module includes Interference detection unit: real-time monitoring of interference levels in the system; Interference suppression unit: uses frequency domain, time domain interference suppression technology and intelligent beamforming technology to reduce interference; Security encryption unit: Encrypts the transmitted data to ensure the security of communication.

6. The multi-antenna intelligent communication system according to claim 1, characterized in that: The resource allocation and optimization module includes Power control unit: dynamically adjusts the transmit power according to communication quality and power consumption requirements; Spectrum management unit: realize efficient use of spectrum and avoid waste and conflict of spectrum resources; Resource optimization algorithm unit: uses advanced optimization algorithms, such as alternating optimization methods, to optimize the system's resource allocation.

7. A communication method for a multi-antenna intelligent communication system according to any one of claims 1 to 6, characterized in that: The steps are as follows: The S1 antenna array module converts digital signals into RF signals and pre-processes the signals through the intelligent beamforming module to achieve directional transmission; The S2 signal is transmitted through the antenna array and the smart reflector module. The smart reflector module dynamically adjusts the phase and amplitude of the reflector unit according to system requirements to optimize the signal transmission path; The S3 antenna array module receives RF signals and converts them into digital signals, and the smart beamforming module decodes, estimates, and reconstructs the received digital signals; S4 monitors the interference level in the system in real time through the interference management and security communication module, and adopts corresponding interference suppression technology and security encryption algorithm to ensure the security and stability of communication; The S5 resource allocation and optimization module dynamically allocates and optimizes resources based on system requirements and communication environment.

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