Downlink multi-stream communication system and method with a transmissive ris transceiver

Abstract

The application provides a kind of transmission RIS transceiver downlink multi-stream communication system and method, comprising: transmission RIS transceiver module: including intelligent controller and transmission RIS panel;Intelligent controller generates corresponding control signal, changes the phase of transmission wave in RIS unit by control line, sends to user module;Loudspeaker antenna module: the information of intelligent controller module is loaded into the carrier of emission and sent to user module, and the information of transmission RIS transceiver module is loaded into the carrier of emission and radiated;User module: after receiving the signal sent by loudspeaker antenna module, harmonic extraction, symbol recovery and demodulation operation are carried out.The architecture proposed in the application can realize multi-stream communication only by equipping a radio frequency chain of feed horn antenna, and is a more low-power and low-cost solution.The architecture proposed in the application considers that each transmission unit is limited by its transmission capacity, and is more novel.

Description

Technical Field

[0001] This invention relates to the field of wireless communication, and more specifically, to a downlink multi-stream communication system and method for a transceiver RIS transceiver. Background Technology

[0002] With increasing demands for communication service quality, B5G and 6G networks are poised to employ larger-scale antennas and denser network architectures to provide users with diverse communication services. However, these communication solutions present challenges not only in deployment but also in environmental considerations. Specifically, base stations equipped with larger-scale antennas require numerous radio frequency links and complex signal processing modules, significantly increasing network power consumption. Furthermore, the cost of a single base station is continuously rising compared to previous-generation communication networks. Simultaneously, since B5G and 6G networks are expected to operate at higher frequency bands, they require denser network architectures, further increasing deployment costs. It is evident that power consumption and hardware cost remain key issues and challenges for the realization of next-generation communication networks. Therefore, seeking novel network architectures and paradigms that can reduce power consumption and costs is crucial for B5G and 6G networks.

[0003] As a revolutionary technology, RIS (Radio Reflector System) holds promise for addressing the challenges faced in B5G and 6G networks. Besides its role in assisted communication, RIS can also be considered as a transceiver for communication. Currently, research proposes using reflective RIS as a transmitter for downlink communication. However, compared to reflective RIS transmitters, transmissive RIS transceivers can be designed to be more efficient, primarily for the following reasons. First, in a reflective RIS transceiver, the single-antenna horn antenna and the user are located on the same side of the RIS, while in a transmissive RIS transceiver, the single-antenna horn antenna and the user are located on opposite sides of the RIS. Therefore, compared to reflective RIS transceivers, transmissive RIS transceivers do not obstruct the incident electromagnetic waves from the feed, resulting in higher aperture efficiency. Furthermore, reflective RIS transceivers suffer from echo interference due to the incident and reflected electromagnetic waves being on the same side, a problem that transmissive RIS transceivers effectively avoid. Therefore, transceiver designs based on transmissive RIS can be more efficient and have the potential to achieve efficient, low-cost, and low-power communication in B5G and 6G networks. Summary of the Invention

[0004] To address the shortcomings of existing technologies, the present invention aims to provide a downlink multi-stream communication system and method for a transceiver RIS transceiver.

[0005] According to the present invention, a downlink multi-stream communication system with a transceiver RIS transceiver includes:

[0006] Transmissive RIS transceiver module: includes intelligent controller and transmissive RIS panel; intelligent controller generates corresponding control signals, changes the phase of the transmitted wave in RIS unit through control lines, and sends it to user module;

[0007] Horn antenna module: Loads the information of the intelligent controller module into the transmitted carrier and sends it to the user module; loads the information of the transmissive RIS transceiver module into the transmitted carrier and radiates it.

[0008] User module: After receiving the signal sent by the horn antenna module, it performs harmonic extraction, symbol recovery and demodulation operations.

[0009] Preferably, it includes a beamforming scheme aimed at maximizing system throughput;

[0010] The beamforming scheme described herein is implemented in the intelligent controller to improve the signal strength of the desired user and reduce the signal strength of the interfering user.

[0011] The beamforming scheme described above is as follows: a beamforming matrix for downlink multi-stream communication is designed with maximizing the system throughput as the performance indicator; an optimization problem is constructed with maximizing the system throughput as the objective and the signal-to-interference-plus-noise ratio and the transmission capability of the RIS unit as constraints.

[0012] Preferably, in the transmissive RIS transceiver module:

[0013] In the intelligent controller, the synthesis of multi-stream modulated signals and beamforming schemes are considered together to generate corresponding control signals. Then, the RIS transmission unit is controlled through the control line, and the information is loaded onto the carrier transmitted by the feed horn antenna and radiated out.

[0014] During downlink communication, the intelligent controller equipped with RIS considers the multi-stream modulated signals to be transmitted and the beamforming scheme, and generates corresponding control signals through time modulation. The control signals are loaded into the RIS transmission unit through control lines to achieve control. By changing the phase of the transmitted wave in the RIS unit through the control lines, the information sent by the transmission RIS transceiver module to the user module is loaded into the carrier transmitted by the feed horn antenna module and sent to the user module.

[0015] Preferably, the intelligent controller generates control signals using a time modulation scheme.

[0016] The RIS has N transmission elements and K users, with each user equipped with a single antenna. Let s k This indicates the modulated signal that the transceiver wants to send to user k. The signal transmitted from the transceiver RIS transceiver module to the user module is... It means that, among them, Let K be the complex number field, representing the number of users;

[0017] use Let represent the beamforming vector of the k-th user, where N is the number of RIS transmission elements, n is the nth element, and θ n,k This indicates that the nth unit represents the phase weight of the kth user, a. n,k This indicates that the nth unit represents the magnitude weight of the kth user, and the whole is the precoding scheme provided to the user.

[0018] The beamforming matrix of all users is represented as Transmit signal of the transmissive RIS transceiver module Represented as x = Fs; the control signal for transmitting the signal is generated in the intelligent controller using a time modulation method;

[0019] Any element x of the transmitted signal x n Each of them contains the signal components required by the user module. By superimposing the signal components, x n Represented as

[0020]

[0021] Synthesized modulated signal symbol x n amplitude A n With phase φ n The control signal waveform, which is mapped to two states, 0 and 1 through time modulation, controls the state of the RIS transmission unit.

[0022] Preferably, the channel model for downlink communication, from the transmission RIS transceiver module to the k-th user, is expressed as: The channel matrix from the transmission RIS transceiver module to the user module is then expressed as:

[0023] The RIS cells are configured to be distributed in a UPA manner, where N = N x ×N z N x and N z These represent the number of RIS units in the horizontal and vertical directions, respectively.

[0024] Using the Ricean channel model, h k Represented as

[0025]

[0026] Where β represents the channel gain at a reference distance d0 = 1m, α represents the path loss coefficient between the RIS transceiver and the user, and d k This represents the distance between the RIS transceiver and the k-th user, where k represents the Rice factor.

[0027] Preferably, the transmitted signal is in, The signal received by the k-th user is represented as:

[0028]

[0029] Where, n k This represents the AWGN introduced at the receiver by the k-th user. and This represents the vector obtained by vectorizing the channel matrix H. This represents the vector obtained by vectorizing the beamforming matrix F; This is an index vector associated with the k-th user, where the values ​​at the index positions corresponding to (1,k) to (N,k) are 1, and the values ​​at the other positions are 0. It is represented as follows:

[0030]

[0031] The received SINR for the k-th user is represented as:

[0032]

[0033] Where σ is the additive white Gaussian noise introduced at the k-th user;

[0034] The achievable rate for the kth user is represented as:

[0035]

[0036] The realizability and rate of the system are expressed as follows:

[0037]

[0038] The maximum transmission power of each transmission unit is P. t The signal transmitted by each transmission unit is constrained by its maximum transmission power, as expressed as:

[0039]

[0040] in, This is an index vector related to the nth transmission unit. It takes a value of 1 at index positions (n,1), (n,2), ..., (n,K), and a value of 0 at all other positions, represented as:

[0041]

[0042] Preferably, the system throughput is maximized by optimizing the beamforming vector design. The specific optimization problem is formulated as follows:

[0043] P1:

[0044]

[0045]

[0046] Where, γ th The first constraint is the user's signal-to-interference-plus-noise ratio threshold, the second constraint is the user's QoS guarantee constraint, and the third constraint is the power of the transmitted signal of each transmission unit of the RIS subject to its transmission capability.

[0047] The beamforming scheme in the aforementioned transmissive RIS transceiver system is designed based on matrix lifting and convexity planning algorithms;

[0048] rank(J) = 1, J ≥ 0;

[0049] rank(G) = 1, G ≥ 0;

[0050] rank(A k ) = 1, A k ≥0;

[0051] rank(B n ) = 1, B n ≥1;

[0052] The received SINR of the k-th user is represented as:

[0053]

[0054] The second constraint is further expressed as

[0055]

[0056] Optimization problem P1 is transformed into problem P2, as follows:

[0057] P2:

[0058]

[0059]

[0060] rank(G) = 1,

[0061] G≥0.

[0062] P2 is a non-convex optimization problem.

[0063] Preferably, the achievable rate for the k-th user is further expressed as:

[0064]

[0065] Achieving this through continuous convex approximation R k The first-order Taylor expansion of gives its upper bound, denoted as .

[0066]

[0067] and,

[0068]

[0069] Among them, G (r) This is the value of the r-th SCA iteration;

[0070] The rank-1 constraint is equivalent to:

[0071]

[0072] Introducing a penalty factor Add the above equation to the objective function of optimization problem P2; transform optimization problem P2 into problem P3, expressed as:

[0073] P3:

[0074]

[0075]

[0076] G≥0,

[0077] Among them, let the penalty factor related to the rank 1 constraint be...

[0078] We use SCA to perform a first-order Taylor expansion on ||G||2 to obtain its lower bound, which is expressed as:

[0079]

[0080] Among them, u max (G (r) Let represent the eigenvector corresponding to the maximum singular value of the optimization variable G in the r-th iteration. The optimization problem P3 is transformed into problem P4, expressed as:

[0081] P4:

[0082]

[0083]

[0084] G≥0.

[0085] Optimization problem P4 is an SDP problem; the solution G is obtained using the CVX toolbox. * The beamforming scheme of the transmissive RIS transceiver system is obtained through matrix decomposition.

[0086] Preferably, in the user module:

[0087] Equipped with harmonic demodulation capability, different users can perform harmonic extraction, symbol recovery and demodulation operations on the received signal after receiving the signal. The received signal is a harmonic modulated signal obtained by the horn antenna module transmitting the carrier to the RIS transmission unit and loading the phase information.

[0088] After receiving the signal from the transmissive RIS transceiver, the user module performs a Fourier transform on the harmonic modulation signal it carries to recover and extract the signal; after recovering the symbols of the synthesized modulation signal, the superimposed signal of all users is obtained.

[0089] According to the present invention, a downlink multi-stream communication method for a transmissive RIS transceiver is provided, which employs the aforementioned transmissive RIS transceiver downlink multi-stream communication system to perform the following:

[0090] Step S1: The intelligent controller of the transmission-type RIS transceiver module generates corresponding control signals, changes the phase of the transmitted wave in the RIS unit through the control line, and sends it to the user module.

[0091] Step S2: The horn antenna module loads the information of the intelligent controller module into the transmitted carrier and sends it to the user module, and loads the information of the transmissive RIS transceiver module into the transmitted carrier and radiates it;

[0092] Step S3: After receiving the signal sent by the horn antenna module, the user module performs harmonic extraction, symbol recovery and demodulation operations.

[0093] Compared with the prior art, the present invention has the following beneficial effects:

[0094] 1. Classic multi-antenna systems often require multiple radio frequency chains, while the architecture proposed in this invention only requires a single radio frequency chain feed horn antenna to achieve multi-stream communication, which is obviously a lower power consumption and lower cost solution.

[0095] 2. Classical multi-antenna systems consider power allocation from the user's perspective, assuming that the antenna's transmission capability is unconstrained. However, the architecture proposed in this invention considers the limitation of each transmission element's transmission capability, which is clearly a more novel approach.

[0096] 3. The signal processing module of a classic multi-antenna system is relatively complex, while the architecture proposed in this invention only needs to generate the control signal corresponding to the RIS unit in the controller through time modulation to control the state of the unit. Attached Figure Description

[0097] Other features, objects, and advantages of the present invention will become more apparent from the following detailed description of non-limiting embodiments with reference to the accompanying drawings:

[0098] Figure 1 This is a downlink multi-stream communication system for a transceiver RIS transceiver.

[0099] Figure 2 The control signal waveform generated for the intelligent controller. Detailed Implementation

[0100] The present invention will now be described in detail with reference to specific embodiments. These embodiments will help those skilled in the art to further understand the present invention, but do not limit the invention in any way. It should be noted that those skilled in the art can make several changes and improvements without departing from the concept of the present invention. These all fall within the protection scope of the present invention.

[0101] Example 1:

[0102] This invention provides a novel transceiver system based on a transmissive intelligent metasurface (RIS) transceiver and a downlink multi-stream communication scheme within this system. The novel transceiver system includes a feed horn antenna, a transmissive RIS, an FPGA intelligent controller, and multiple single-antenna users (capable of harmonic demodulation). In the system, the intelligent controller uniformly designs control signals for the modulation signals and beamforming matrices of multiple users, and controls the transmission units of the RIS via control lines, thereby loading the corresponding information onto the carrier wave transmitted by the feed horn antenna and radiating it to the users. Multiple users recover the modulation signals from the harmonic components of the received signals, thereby demodulating and decoding to obtain their desired signals. Considering that the multi-stream communication scheme under this system is significantly affected by the beamforming matrix, this invention designs the beamforming scheme of the novel transmissive RIS transceiver with maximizing system realizability and speed as performance indicators. Compared to traditional multi-antenna systems, the transmissive RIS transceiver system of this invention does not have a large number of RF links and complex signal processing modules, thus making it a more cost-effective and low-power transceiver system. Simultaneously, through the design of the beamforming matrix, the transmitter system of this invention can improve the system throughput.

[0103] According to the present invention, a downlink multi-stream communication method for a transceiver RIS transceiver is provided, such as... Figures 1-2 As shown, it includes:

[0104] Step S1: The intelligent controller of the transmission-type RIS transceiver module generates corresponding control signals, changes the phase of the transmitted wave in the RIS unit through the control line, and sends it to the user module.

[0105] Step S2: The horn antenna module loads the information of the intelligent controller module into the transmitted carrier and sends it to the user module, and loads the information of the transmissive RIS transceiver module into the transmitted carrier and radiates it;

[0106] Step S3: After receiving the signal sent by the horn antenna module, the user module performs harmonic extraction, symbol recovery and demodulation operations.

[0107] Example 2:

[0108] Example 2 is a preferred embodiment of Example 1, and is used to illustrate the present invention in more detail.

[0109] The present invention also provides a downlink multi-stream communication system for a transceiver RIS transceiver. The downlink multi-stream communication system for a transceiver RIS transceiver can be implemented by executing the process steps of the downlink multi-stream communication method for a transceiver RIS transceiver. That is, those skilled in the art can understand the downlink multi-stream communication method for a transceiver RIS transceiver as a preferred embodiment of the downlink multi-stream communication system for a transceiver RIS transceiver.

[0110] According to the present invention, a downlink multi-stream communication system with a transceiver RIS transceiver includes:

[0111] Transmissive RIS transceiver module: includes intelligent controller and transmissive RIS panel; intelligent controller generates corresponding control signals, changes the phase of the transmitted wave in RIS unit through control lines, and sends it to user module;

[0112] Horn antenna module: Loads the information of the intelligent controller module into the transmitted carrier and sends it to the user module; loads the information of the transmissive RIS transceiver module into the transmitted carrier and radiates it.

[0113] User module: After receiving the signal sent by the horn antenna module, it performs harmonic extraction, symbol recovery and demodulation operations.

[0114] Specifically, this includes beamforming schemes aimed at maximizing system throughput;

[0115] The beamforming scheme described herein is implemented in the intelligent controller to improve the signal strength of the desired user and reduce the signal strength of the interfering user.

[0116] The beamforming scheme described above is as follows: a beamforming matrix for downlink multi-stream communication is designed with maximizing the system throughput as the performance indicator; an optimization problem is constructed with maximizing the system throughput as the objective and the signal-to-interference-plus-noise ratio and the transmission capability of the RIS unit as constraints.

[0117] Specifically, in the transmissive RIS transceiver module:

[0118] In the intelligent controller, the synthesis of multi-stream modulated signals and beamforming schemes are considered together to generate corresponding control signals. Then, the RIS transmission unit is controlled through the control line, and the information is loaded onto the carrier transmitted by the feed horn antenna and radiated out.

[0119] During downlink communication, the intelligent controller equipped with RIS considers the multi-stream modulated signals to be transmitted and the beamforming scheme, and generates corresponding control signals through time modulation. The control signals are loaded into the RIS transmission unit through control lines to achieve control. By changing the phase of the transmitted wave in the RIS unit through the control lines, the information sent by the transmission RIS transceiver module to the user module is loaded into the carrier transmitted by the feed horn antenna module and sent to the user module.

[0120] Specifically, the intelligent controller generates control signals using a time modulation scheme.

[0121] The RIS has N transmission elements and K users, with each user equipped with a single antenna. Let s k This indicates the modulated signal that the transceiver wants to send to user k. The signal transmitted from the transceiver RIS transceiver module to the user module is... express;

[0122] in, Let K be the complex number field, representing the number of users;

[0123] use Let represent the beamforming vector of the k-th user, where N is the number of RIS transmission elements, n is the nth element, and θ n,k This indicates that the nth unit represents the phase weight of the kth user, a. n,k This indicates that the nth unit represents the magnitude weight of the kth user, and the whole is the precoding scheme provided to the user.

[0124] The beamforming matrix of all users is represented as Transmit signal of the transmissive RIS transceiver module Represented as x = Fs; the control signal for transmitting the signal is generated in the intelligent controller using a time modulation method;

[0125] Any element x of the transmitted signal x nEach of them contains the signal components required by the user module. By superimposing the signal components, x n Represented as

[0126]

[0127] Synthesized modulated signal symbol x n amplitude A n With phase φ n The control signal waveform, which is mapped to two states, 0 and 1 through time modulation, controls the state of the RIS transmission unit.

[0128] Specifically, the channel model for downlink communication, from the transmission RIS transceiver module to the k-th user, is expressed as: The channel matrix from the transmission RIS transceiver module to the user module is then expressed as:

[0129] The RIS cells are configured to be distributed in a UPA manner, where N = N x ×N z N x and N z These represent the number of RIS units in the horizontal and vertical directions, respectively.

[0130] Using the Ricean channel model, h k Represented as

[0131]

[0132] Where β represents the channel gain at a reference distance d0 = 1m, α represents the path loss coefficient between the RIS transceiver and the user, and d k This represents the distance between the RIS transceiver and the k-th user, where k represents the Rice factor.

[0133] Specifically, the transmitted signal is in, The signal received by the k-th user is represented as:

[0134]

[0135] Where, n k This represents the AWGN introduced at the receiver by the k-th user. and This represents the vector obtained by vectorizing the channel matrix H. This represents the vector obtained by vectorizing the beamforming matrix F; This is an index vector associated with the k-th user, where the values ​​at the index positions corresponding to (1,k) to (N,k) are 1, and the values ​​at the other positions are 0. It is represented as follows:

[0136]

[0137] The received SINR for the k-th user is represented as:

[0138]

[0139] Where σ is the additive white Gaussian noise introduced at the k-th user;

[0140] The achievable rate for the kth user is represented as:

[0141]

[0142] The realizability and rate of the system are expressed as follows:

[0143]

[0144] The maximum transmission power of each transmission unit is P. t The signal transmitted by each transmission unit is constrained by its maximum transmission power, as expressed as:

[0145]

[0146] in, This is an index vector related to the nth transmission unit. It takes a value of 1 at index positions (n,1), (n,2), ..., (n,K), and a value of 0 at all other positions, represented as:

[0147]

[0148] Specifically, by optimizing the beamforming vector design to maximize the system throughput, the specific optimization problem can be formulated as follows:

[0149] P1:

[0150]

[0151]

[0152] Where, γ th The first constraint is the user's signal-to-interference-plus-noise ratio threshold, the second constraint is the user's QoS guarantee constraint, and the third constraint is the power of the transmitted signal of each transmission unit of the RIS subject to its transmission capability.

[0153] The beamforming scheme in the aforementioned transmissive RIS transceiver system is designed based on matrix lifting and convexity planning algorithms;

[0154] rank(J) = 1, J ≥ 0;

[0155] rank(G) = 1, G ≥ 0;

[0156] rank(A k ) = 1, A k ≥0;

[0157] rank(B n ) = 1, B n ≥1;

[0158] The received SINR of the k-th user is represented as:

[0159]

[0160] The second constraint is further expressed as

[0161]

[0162] Optimization problem P1 is transformed into problem P2, as follows:

[0163] P2:

[0164]

[0165]

[0166] rank(G) = 1,

[0167] G≥0.

[0168] P2 is a non-convex optimization problem.

[0169] Specifically, the achievable rate for the k-th user is further expressed as:

[0170]

[0171] Achieving this through continuous convex approximation R k The first-order Taylor expansion of gives its upper bound, denoted as .

[0172]

[0173] and,

[0174]

[0175] Among them, G (r) This is the value of the r-th SCA iteration;

[0176] The rank-1 constraint is equivalent to:

[0177]

[0178] Introducing a penalty factor Add the above equation to the objective function of optimization problem P2; transform optimization problem P2 into problem P3, expressed as:

[0179] P3:

[0180]

[0181]

[0182] G≥0,

[0183] Among them, let the penalty factor related to the rank 1 constraint be...

[0184] We use SCA to perform a first-order Taylor expansion on ||G||2 to obtain its lower bound, which is expressed as:

[0185]

[0186] Among them, u max (G (r) Let represent the eigenvector corresponding to the maximum singular value of the optimization variable G in the r-th iteration. The optimization problem P3 is transformed into problem P4, expressed as:

[0187] P4:

[0188]

[0189]

[0190] G ＞ 0.

[0191] Optimization problem P4 is an SDP problem; the solution G is obtained using the CVX toolbox. * The beamforming scheme of the transmissive RIS transceiver system is obtained through matrix decomposition.

[0192] Specifically, in the user module:

[0193] Equipped with harmonic demodulation capability, different users can perform harmonic extraction, symbol recovery and demodulation operations on the received signal after receiving the signal. The received signal is a harmonic modulated signal obtained by the horn antenna module transmitting the carrier to the RIS transmission unit and loading the phase information.

[0194] After receiving the signal from the transmissive RIS transceiver, the user module performs a Fourier transform on the harmonic modulation signal it carries to recover and extract the signal; after recovering the symbols of the synthesized modulation signal, the superimposed signal of all users is obtained.

[0195] Example 3:

[0196] Example 3 is a preferred example of Example 1, and is used to illustrate the present invention in more detail.

[0197] A downlink multi-stream communication system with a transmissive RIS transceiver includes a feed horn antenna, a transmissive RIS panel, an FPGA intelligent controller, and multiple single-antenna users (with harmonic demodulation functionality, which can be extended to multi-antenna users). Furthermore, it includes a beamforming scheme aimed at maximizing system throughput.

[0198] During downlink communication, the intelligent controller of the RIS transceiver system considers the multi-stream modulated signals to be transmitted and the beamforming scheme, and generates corresponding control signals through time modulation. The control signals are loaded into the RIS transmission unit through control lines to achieve control. By changing the phase of the transmitted wave in the RIS unit through the control lines, the information that the new transceiver wants to send to the user is loaded into the carrier wave transmitted by the feed horn antenna and sent to the user.

[0199] Users in the aforementioned transceiver RIS system need to be equipped with harmonic demodulation capabilities. After receiving a signal, different users perform harmonic extraction, symbol recovery, and demodulation operations on the received signal to obtain the information they need. The signal here is a harmonic modulated signal obtained by transmitting a carrier wave from the horn antenna to the RIS transceiver unit and loading phase information.

[0200] The beamforming scheme in the aforementioned transmissive RIS transceiver system, implemented in the intelligent controller, can improve the signal strength of the desired user and reduce the signal strength of the interfering user.

[0201] The transmission-type RIS transceiver takes into account the synthesis of multi-stream modulated signals and beamforming schemes in the intelligent controller, generates corresponding control signals, and then controls the RIS transmission unit through the control line, loading the information onto the carrier transmitted by the feed horn antenna and radiating it out.

[0202] The intelligent controller in the transmissive RIS transceiver system generates control signals using a time-modulation scheme. Specifically, the transmitted signal is an n-dimensional vector (n represents the number of transmission elements in the RIS), where any element x... n Each component contains all the signal components needed by the user. By superimposing these components, x n It can be represented as The amplitude A of the synthesized modulated signal symbol n With phase φ n Control signal waveforms that can be time-modulated and mapped to two states, 0 and 1, can be used to control the transmission unit of the RIS.

[0203] The aforementioned transmissive RIS transceiver system includes multiple users equipped with harmonic demodulation capabilities. After receiving the signal transmitted by the transmissive RIS transceiver, each user needs to perform a Fast Fourier Transform (FFT) on the carried harmonic modulation signal to recover and extract the signal. After recovering the symbols of the synthesized modulation signal, the superimposed signal of all users is obtained, thus allowing the demodulation and decoding schemes of traditional communication systems to be effectively applied. Therefore, this novel transceiver architecture can be well integrated with some traditional solutions.

[0204] The beamforming scheme in the described transmissive RIS transceiver system is designed with maximizing system throughput as the performance indicator to construct the beamforming matrix for downlink multi-stream communication. By constructing an optimization problem with maximizing system throughput as the objective and the signal-to-interference-plus-noise ratio and RIS unit transmission capability as constraints, this invention achieves the design of the beamforming scheme for this novel transmissive RIS transceiver.

[0205] The optimization problem is structured differently from that of traditional multi-antenna systems. Traditional multi-antenna systems consider power allocation from the user's perspective, assuming that the antenna's transmission capability is unconstrained. However, this new architecture must consider the limitation of each transmission element's transmission capability.

[0206] The optimization problem of maximizing the system throughput is a non-convex optimization problem, and the global optimum cannot be obtained directly. This invention, in the following sections, obtains a high-quality suboptimal solution to this problem based on matrix lifting and convexity programming algorithms.

[0207] Example 4:

[0208] Example 4 is a preferred example of Example 1, which is used to illustrate the present invention in more detail.

[0209] In response to the increasing demands for reduced power consumption and cost in B5G and 6G networks, this invention provides a novel downlink multi-stream communication system design based on a transmissive RIS transceiver.

[0210] The downlink multi-stream communication system of the transmissive RIS transceiver provided by the present invention includes a transmissive RIS transceiver, a beamforming scheme equipped with harmonic demodulation for multiple users and an intelligent controller; the transmissive RIS transceiver includes an intelligent controller, and the transceiver is composed of a transmissive RIS panel and an intelligent controller.

[0211] The intelligent controller equipped in the aforementioned transmissive RIS transceiver jointly considers the multi-stream modulated signals to be transmitted and the beamforming scheme, generates corresponding control signals through time modulation, and loads the information into the carrier wave transmitted by the feed horn antenna by changing the phase of the transmitted wave in the RIS unit through the control line and sends it to the user.

[0212] Users in the aforementioned transceiver RIS transceiver system need to be equipped with harmonic demodulation capabilities. After receiving a signal, different users perform harmonic extraction, symbol recovery, and demodulation operations on the received signal to obtain the information they need.

[0213] The transmission-type RIS transceiver takes into account the synthesis of multi-stream modulated signals and beamforming schemes in the intelligent controller, generates corresponding control signals, and then controls the RIS transmission unit through the control line, loading the information onto the carrier transmitted by the feed horn antenna and radiating it out.

[0214] Preferably, assuming the system has N RIS transmission elements, K users, and each user is equipped with a single antenna. Let s k This indicates the modulated signal that the transceiver wants to send to user k. This modulated signal can be of any modulation order (e.g., 16QAM). Therefore, the signal transmitted by the transceiver to all users can be... It indicates. Among them, Let K be the complex number field, representing the number of users;

[0215] In addition, using Let represent the beamforming vector of the k-th user, where N is the number of RIS transmission elements, n is the nth element, and θ n,k This indicates that the nth unit represents the phase weight of the kth user, a. n,k This indicates that the nth unit represents the phase weight of the kth user, and the whole represents the precoding scheme provided to the user.

[0216] This invention represents the beamforming matrix of all users as follows: Therefore, the transmission signal of this new transceiver This can be represented as x = Fs. The control signal for this transmitted signal can be generated in the intelligent controller using a time modulation method. Specifically, any element x of the transmitted signal x... n Each component contains all the signal components needed by the user. By superimposing these components, x n It can be represented as

[0217]

[0218] The synthesized modulated signal code element x n amplitude A n With phase φ nThe state of the RIS transmission unit can be controlled by time-modulated control signal waveforms that are mapped to two states, 0 and 1.

[0219] Preferably, after receiving a signal, the user needs to extract the harmonic modulation signal it carries. This is mainly done by calculating the harmonic components of the received signal through single-point or two-point fast Fourier transform.

[0220] The beamforming scheme in the aforementioned transmissive RIS transceiver system, implemented in the intelligent controller, can improve the signal strength of the desired user and reduce the signal strength of interfering users, thereby increasing the system throughput.

[0221] Preferably, since the present invention generates control signals simultaneously for beamforming and transmitting signals in the intelligent controller, the design of the beamforming matrix plays a crucial role in the performance of this transmissive RIS transceiver communication system. In this part, the present invention designs the beamforming matrix for this multi-user (multi-stream) communication with maximizing the system's achievable sum of speeds as the performance metric.

[0222] Preferably, for the channel model, the channel gain from the transmission RIS transceiver to the k-th user in the downlink communication of this architecture can be expressed as: The channel matrix from the transceiver to all users can then be represented as follows: Meanwhile, it is assumed that all channels experience quasi-static flat fading. Channel State Information (CSI) is assumed to be perfectly obtainable at the controller. The RIS units are distributed in a UPA manner, i.e., N = N. x ×N z N x and N z These represent the number of RIS units in the horizontal and vertical directions, respectively. This invention uses the Ricean channel model, therefore h... k It can be represented as

[0223]

[0224] Where b represents the channel gain at a reference distance d0 = 1m, α represents the path loss coefficient between the RIS transceiver and the user, and d k This represents the distance between the RIS transceiver and the k-th user, where k represents the Rice factor.

[0225] Preferably, the transmitted signal is represented as in, Therefore, the signal received by the k-th user is represented as

[0226]

[0227] Where, n kThis represents the AWGN introduced at the receiver by the k-th user. and This represents the vector obtained by vectorizing the channel matrix H; similarly, This represents the vector obtained by vectorizing the beamforming matrix F. Let be the index vector associated with the k-th user. Its values ​​are 1 at index positions from (1,k) to (N,k), and 0 at all other positions. It can be represented as:

[0228]

[0229] Preferably, the received SINR for the k-th user can be expressed as:

[0230]

[0231] Where σ is the additive white Gaussian noise introduced at the k-th user;

[0232] Therefore, the achievable rate for the k-th user can be expressed as:

[0233]

[0234] The realizability and speed of the system can be expressed as

[0235]

[0236] Preferably, unlike traditional multi-antenna systems, taking a 1-bit RIS as an example, it is necessary to consider that the transmission power of each transmission element of the RIS is limited by its transmission efficiency. This invention assumes that the maximum transmission power of each transmission element of a 1-bit RIS is P. t Therefore, the signal transmitted by each transmission unit is constrained by its maximum transmitted power, which can be expressed as:

[0237]

[0238] in, This is an index vector related to the nth transmission unit. It takes a value of 1 at index positions (n,1), (n,2), ..., (n,K), and a value of 0 at all other positions. It can be represented as...

[0239]

[0240] Preferably, the present invention maximizes the system throughput by optimizing the design of the beamforming vector. The specific optimization problem can be formulated as follows:

[0241] P1:

[0242]

[0243]

[0244] Where, γ th Let P1 be the user's signal-to-interference-plus-noise ratio (SINNR) threshold, the first constraint be the user's QoS guarantee constraint, and the second constraint be the power of the transmitted signal in each transmission unit of the RIS, which is subject to its transmission capability. It is easy to observe that the objective function is non-concave with respect to the optimization variables; therefore, problem P1 is a non-convex optimization problem, and the global optimum cannot be directly obtained.

[0245] The beamforming scheme in the aforementioned transmissive RIS transceiver system is designed based on matrix lifting and convexity programming algorithms.

[0246] Preferably, firstly, we let rank(J) = 1, J ≥ 0. Let rank(G) = 1, G ≥ 0. Let rank(A k ) = 1, A k ≥0. Also let rank(B n ) = 1, B n ≥1. Then the received SINR of the k-th user can be further expressed as:

[0247]

[0248] The second constraint can also be further expressed as...

[0249]

[0250] Therefore, optimization problem P1 can be transformed into problem P2, as follows:

[0251] P2:

[0252]

[0253]

[0254] rank(G) = 1,

[0255] G≥0.

[0256] It can be seen that the objective function is still non-concave with respect to the optimization variable G, and there is also a non-convex rank-1 constraint. Therefore, this problem is still a non-convex optimization problem.

[0257] Preferably, the present invention processes the objective function and rank-1 constraint, transforming the problem into an easily tractable convex optimization problem. The achievable rate for the k-th user can be further expressed as:

[0258]

[0259] because and R k Since the optimization variable G is a concave function, therefore, R k Since the optimization variable G is non-concave, problem P2 is a convex programming problem. This invention employs Continuous Convex Approximation (SCA) to achieve this. R k The first-order Taylor expansion of gives its upper bound, which can be expressed as:

[0260]

[0261] and

[0262]

[0263] Among them, G (r) This is the value of the r-th SCA iteration.

[0264] Preferably, the rank-1 constraint can be equivalently transformed into

[0265]

[0266] At the same time, we introduce a penalty factor. Add the above equation to the objective function of optimization problem P2. Through the above processing, optimization problem P2 can be transformed into problem P3, expressed as follows:

[0267] P3:

[0268]

[0269]

[0270] G≥0,

[0271] Among them, let the penalty factor related to the rank 1 constraint be... However, since ||G||2 is a convex function with respect to the optimization variable G, the optimization problem P3 is still a non-convex optimization problem.

[0272] Preferably, SCA is used to perform a first-order Taylor expansion on ||G||2 to obtain its lower bound, which can be expressed as:

[0273]

[0274] Among them, u max (G (r)Let represent the eigenvector corresponding to the maximum singular value of the optimization variable G in the r-th iteration. Therefore, optimization problem P3 can be further transformed into problem P4, expressed as:

[0275] P4:

[0276]

[0277]

[0278] G≥0.

[0279] It can be seen that this optimization problem is a standard SDP problem, and a high-quality solution G can be obtained by applying the CVX toolbox. * The beamforming scheme for this transmissive RIS transceiver system can be obtained through matrix decomposition.

[0280] Example 5:

[0281] Example 5 is a preferred embodiment of Example 1, which is used to illustrate the present invention in more detail.

[0282] According to the present invention, a design of a transmissive RIS transceiver multi-stream communication system is provided, such as... Figure 1 As shown. During downlink communication, the intelligent controller equipped with the RIS (Radio Resonance System) jointly considers the multi-stream modulated signals to be transmitted and the beamforming scheme. It generates corresponding control signals through time modulation, and modulates the phase of the transmitted wave in the RIS unit via control lines to load information into the carrier wave transmitted by the feed horn antenna and send it to the user. After receiving the signal, different users perform harmonic extraction, symbol recovery, and demodulation operations on the received signal to obtain the information they need.

[0283] The generation of control signals for the aforementioned transmissive RIS transceiver enables control over the state of the RIS transmissive unit. Let s k This indicates the modulated signal that the transceiver wants to send to user k. This modulated signal can be of any modulation order (e.g., 16QAM). Therefore, the signal transmitted by the transceiver to all users can be... Indicate. Additionally, use... Let represent the beamforming vector of the k-th user, where This invention represents the beamforming matrix of all users as follows: Therefore, the transmission signal of this new transceiver This can be represented as x = Fs. The control signal for this transmitted signal can be generated in the intelligent controller using a time modulation method. Specifically, any element x of the transmitted signal x... n Each component contains all the signal components needed by the user. By superimposing these components, x n It can be represented as

[0284]

[0285] The synthesized modulated signal code element x n amplitude A n With phase φ n The state of the RIS transmission unit can be controlled by time-modulated control signal waveforms that are mapped to two states, 0 and 1.

[0286] After receiving a signal, the user of the aforementioned transceiver RIS transceiver system needs to extract the harmonic modulation signal carried by it. This is mainly done by calculating the harmonic components of the received signal through single-point or two-point fast Fourier transform.

[0287] Example 6:

[0288] Example 6 is a preferred embodiment of Example 1, which is used to illustrate the present invention in more detail.

[0289] This invention proposes a beamforming scheme for the aforementioned transmissive RIS transceiver system, which can be implemented through an intelligent controller. This invention designs the beamforming matrix for multi-user (multi-stream) communication with the goal of maximizing the system's achievable sum rate as the performance metric.

[0290] For the channel model, the channel gain from the transmission RIS transceiver to the k-th user in the downlink communication of this architecture can be expressed as: The channel matrix from the transceiver to all users can then be represented as follows: Meanwhile, it is assumed that all channels experience quasi-static flat fading. Channel State Information (CSI) is assumed to be perfectly obtainable at the controller. The RIS units are distributed in a UPA manner, i.e., N = N. x ×N z N x and N z These represent the number of RIS units in the horizontal and vertical directions, respectively. This invention uses the Ricean channel model, therefore h... k It can be represented as

[0291]

[0292] Where β represents the channel gain at a reference distance d0 = 1m, α represents the path loss coefficient between the RIS transceiver and the user, and d k This represents the distance between the RIS transceiver and the k-th user, where k represents the Rice factor. The transmitted signal is represented as... in, Therefore, the signal received by the k-th user is represented as

[0293]

[0294] Where, n k This represents the AWGN introduced at the receiver by the k-th user. and This represents the vector obtained by vectorizing the channel matrix H; similarly, This represents the vector obtained by vectorizing the beamforming matrix F. Let be the index vector associated with the k-th user. Its values ​​are 1 at index positions from (1,k) to (N,k), and 0 at all other positions. It can be represented as:

[0295]

[0296] The received SINR for the k-th user can be expressed as:

[0297]

[0298] Therefore, the achievable rate for the k-th user can be expressed as:

[0299]

[0300] The realizability and speed of the system can be expressed as

[0301]

[0302] Unlike traditional multi-antenna systems, taking a 1-bit RIS as an example, it is necessary to consider that the transmission power of each transmission element of the RIS is limited by its transmission efficiency. This invention assumes that the maximum transmission power of each transmission element of a 1-bit RIS is P. t Therefore, the signal transmitted by each transmission unit is constrained by its maximum transmitted power, which can be expressed as:

[0303]

[0304] in, This is an index vector related to the nth transmission unit. It takes a value of 1 at index positions (n,1), (n,2), ..., (n,K), and a value of 0 at all other positions. It can be represented as...

[0305]

[0306] This invention maximizes system throughput by optimizing the design of beamforming vectors. The specific optimization problem can be formulated as follows:

[0307] P1:

[0308]

[0309]

[0310] The first constraint is the user's QoS guarantee constraint, and the second is the constraint on the power of the signal transmitted by each transmission unit of the RIS, which is subject to its transmission capability. It is easy to observe that the objective function is non-concave with respect to the optimization variables; therefore, problem P1 is a non-convex optimization problem, and the global optimum cannot be obtained directly.

[0311] The beamforming scheme in the aforementioned transmissive RIS transceiver system is designed based on matrix lifting and convexity programming algorithms.

[0312] Preferably, firstly, we let rank(J) = 1, J ≥ 0. Let rank(G) = 1, G ≥ 0. Let rank(A k ) = 1, A k ≥0. Also let rank(B n ) = 1, B n ≥1. Then the received SINR of the k-th user can be further expressed as:

[0313]

[0314] The second constraint can also be further expressed as...

[0315]

[0316] Therefore, optimization problem P1 can be transformed into problem P2, as follows:

[0317] P2:

[0318]

[0319]

[0320] rank(G) = 1,

[0321] G≥0.

[0322] It can be seen that the objective function is still non-concave with respect to the optimization variable G, and there is also a non-convex rank-1 constraint. Therefore, this problem is still a non-convex optimization problem.

[0323] This invention addresses the objective function and rank-1 constraints, transforming the problem into a more manageable convex optimization problem. The achievable rate for the k-th user can be further expressed as...

[0324]

[0325] because and R k Since the optimization variable G is a concave function, therefore, R k Since the optimization variable G is non-concave, problem P2 is a convex programming problem. This invention employs Continuous Convex Approximation (SCA) to achieve this. R k The first-order Taylor expansion of gives its upper bound, which can be expressed as:

[0326]

[0327] and

[0328]

[0329] Among them, G (r) This is the value of the r-th SCA iteration.

[0330] Rank 1 constraints can be equivalently transformed into

[0331]

[0332] At the same time, we introduce a penalty factor. Add the above equation to the objective function of optimization problem P2. Through the above processing, optimization problem P2 can be transformed into problem P3, expressed as follows:

[0333] P3:

[0334]

[0335]

[0336] G≥0,

[0337] Among them, let the penalty factor related to the rank 1 constraint be... However, since ||G||2 is a convex function with respect to the optimization variable G, the optimization problem P3 is still a non-convex optimization problem.

[0338] Using SCA to perform a first-order Taylor expansion on ||G||², we obtain its lower bound, which can be expressed as:

[0339]

[0340] Among them, u max (G (r) Let represent the eigenvector corresponding to the maximum singular value of the optimization variable G in the r-th iteration. Therefore, optimization problem P3 can be further transformed into problem P4, expressed as:

[0341] P4:

[0342]

[0343]

[0344] G≥0.

[0345] It can be seen that this optimization problem is a standard SDP problem, and a high-quality solution G can be obtained by applying the CVX toolbox. * The beamforming scheme for this transmissive RIS transceiver system can be obtained through matrix decomposition.

[0346] Those skilled in the art will understand that, in addition to implementing the system, apparatus, and their modules provided by this invention in purely computer-readable program code, the same program can be implemented in the form of logic gates, switches, application-specific integrated circuits, programmable logic controllers, and embedded microcontrollers by logically programming the method steps. Therefore, the system, apparatus, and their modules provided by this invention can be considered a hardware component, and the modules included therein for implementing various programs can also be considered structures within the hardware component; alternatively, modules for implementing various functions can be considered both software programs implementing the method and structures within the hardware component.

[0347] Specific embodiments of the present invention have been described above. It should be understood that the present invention is not limited to the specific embodiments described above, and those skilled in the art can make various changes or modifications within the scope of the claims, which do not affect the essence of the present invention. Unless otherwise specified, the embodiments and features described in this application can be arbitrarily combined with each other.

Claims

1. A downlink multi-stream communication system with a transceiver RIS transceiver, characterized in that, include: Transmissive RIS transceiver module: includes an intelligent controller and a transmissive RIS panel; The intelligent controller generates corresponding control signals, changes the phase of the transmitted wave in the RIS unit through the control line, and sends them to the user module; Horn antenna module: Loads the information of the intelligent controller module into the transmitted carrier and sends it to the user module; loads the information of the transmissive RIS transceiver module into the transmitted carrier and radiates it. User module: After receiving the signal sent by the horn antenna module, it performs harmonic extraction, symbol recovery and demodulation operations; In the aforementioned transceiver RIS transceiver module: In the intelligent controller, the synthesis of multi-stream modulated signals and beamforming schemes are considered together to generate corresponding control signals. Then, the RIS transmission unit is controlled through the control line, and the information is loaded onto the carrier transmitted by the feed horn antenna and radiated out. During downlink communication, the intelligent controller equipped with RIS jointly considers the multi-stream modulated signals to be transmitted and the beamforming scheme, and generates corresponding control signals through time modulation. The control signals are loaded into the RIS transmission unit through the control line to achieve control. By changing the phase of the transmitted wave in the RIS unit through the control line, the information sent by the transmission RIS transceiver module to the user module is loaded into the carrier transmitted by the feed horn antenna module and sent to the user module. The intelligent controller generates control signals using a time modulation scheme. The RIS has N transmission elements and K users, with each user equipped with a single antenna. This indicates that the transceiver is to send a message to the user. The modulated signal, the signal transmitted from the transmissive RIS transceiver module to the user module is used It means that, among them, For complex fields, To represent the number of users; use Indicates the first Beamforming vectors for each user, where... , This represents the number of RIS transmission units. For the nth unit, This indicates that the nth unit represents the phase weight of the kth user. This indicates that the nth unit represents the magnitude weight of the kth user, and the whole is the precoding scheme provided to the user. The beamforming matrix of all users is represented as Transmit signal of the transmissive RIS transceiver module Represented as The control signal for transmitting the signal is generated in the intelligent controller using a time modulation method. Transmit signal any element Each of them contains the signal components required by the user module. By superimposing the signal components, Represented as Synthesized Modulated Signal Symbols amplitude With phase The control signal waveform, which is mapped to two states, 0 and 1 through time modulation, controls the state of the RIS transmission unit.

2. The downlink multi-stream communication system of the transmissive RIS transceiver according to claim 1, characterized in that: This includes beamforming schemes aimed at maximizing system throughput; The beamforming scheme described herein is implemented in the intelligent controller to improve the signal strength of the desired user and reduce the signal strength of the interfering user. The beamforming scheme described above is as follows: a beamforming matrix for downlink multi-stream communication is designed with maximizing the system throughput as the performance indicator; an optimization problem is constructed with maximizing the system throughput as the objective and the signal-to-interference-plus-noise ratio and the transmission capability of the RIS unit as constraints.

3. The downlink multi-stream communication system of the transmissive RIS transceiver according to claim 1, characterized in that: Downlink communication channel models, from the transmission RIS transceiver module to the... The channel gain for each user is expressed as... The channel matrix from the RIS transceiver module to the user module is then expressed as: ; Configure the RIS cells to be distributed in a UPA manner. , and These represent the number of RIS units in the horizontal and vertical directions, respectively. Using the Rice channel model, Represented as in, Indicates reference distance Channel gain at that time This represents the path loss coefficient between the RIS transceiver and the user. Indicates RIS transceiver and the 2nd generation The distance between users Represents Rice factor.

4. The downlink multi-stream communication system of the transmissive RIS transceiver according to claim 1, characterized in that: The transmitted signal is ,in, , No. The signal received by each user is represented as follows: in, Indicates the first AWGN introduced by a user at the receiving end, ;and This indicates that the channel matrix Vectors obtained through vectorization This indicates that the beamforming matrix will be used. A vector obtained through vectorization; In order to be with the first A user-related index vector, which in The corresponding index position is set to 1, and the other positions are set to 0, which is represented as: For the The received SINR of each user is represented as in, Additive white Gaussian noise is introduced at the k-th user; No. The achievable rate for a user is expressed as: The realizability and rate of the system are expressed as follows: The maximum transmission power of each transmission unit is The signal transmitted by each transmission unit is constrained by its maximum transmission power, as expressed as: in, Is with the first The index vector related to each transmission unit, in The index position is set to 1, and the other positions are set to 0, which is represented as: 。 5. The downlink multi-stream communication system of the transmissive RIS transceiver according to claim 2, characterized in that: By optimizing the beamforming vector design to maximize the system throughput, the specific optimization problem can be formulated as follows: in, The first constraint is the user's signal-to-interference-plus-noise ratio threshold, the second constraint is the user's QoS guarantee constraint, and the third constraint is the power of the transmitted signal of each transmission unit of the RIS subject to its transmission capability. The beamforming scheme in the transmissive RIS transceiver system is designed based on matrix lifting and convexity programming algorithms. ， ， ， ； ， ， ， ； ， ， ； ， ， ； No. The received SINR of an individual user is represented as follows: The second constraint is further expressed as Optimization problem P1 is transformed into problem P2, as follows: P2 is a non-convex optimization problem.

6. The downlink multi-stream communication system of the transmissive RIS transceiver according to claim 5, characterized in that: No. The achievable rate for a single user is further expressed as: Achieving this through continuous convex approximation The first-order Taylor expansion of gives its upper bound, denoted as . and, in, For the first The value of the SCA iteration; The rank-1 constraint is equivalent to: Introducing a penalty factor Add the above equation to the objective function of optimization problem P2; transform optimization problem P2 into problem P3, expressed as: Among them, let the penalty factor related to the rank 1 constraint be... ; Using SCA to Perform a first-order Taylor expansion to obtain its lower bound, denoted as: in, Represents optimization variables In the The eigenvector corresponding to the maximum singular value at the next iteration transforms optimization problem P3 into problem P4, as follows: Optimization problem P4 is an SDP problem; a solution can be obtained using the CVX toolbox. The beamforming scheme of the transmissive RIS transceiver system is obtained through matrix decomposition.

7. The downlink multi-stream communication system of the transmissive RIS transceiver according to claim 1, characterized in that, In the user module: Equipped with harmonic demodulation capability, different users can perform harmonic extraction, symbol recovery and demodulation operations on the received signal after receiving the signal. The received signal is a harmonic modulated signal obtained by the horn antenna module transmitting the carrier to the RIS transmission unit and loading the phase information. After receiving the signal from the transmissive RIS transceiver, the user module performs a Fourier transform on the harmonic modulation signal it carries to recover and extract the signal; after recovering the symbols of the synthesized modulation signal, the superimposed signal of all users is obtained.

8. A downlink multi-stream communication method for a transmissive RIS transceiver, characterized in that, Using the downlink multi-stream communication system of the transceiver RIS transceiver as described in claim 1, the following is performed: Step S1: The intelligent controller of the transmission-type RIS transceiver module generates corresponding control signals, changes the phase of the transmitted wave in the RIS unit through the control line, and sends it to the user module. Step S2: The horn antenna module loads the information of the intelligent controller module into the transmitted carrier and sends it to the user module, and loads the information of the transmissive RIS transceiver module into the transmitted carrier and radiates it; Step S3: After receiving the signal sent by the horn antenna module, the user module performs harmonic extraction, symbol recovery and demodulation operations.

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