Downlink non-orthogonal multiple access communication method and system, storage medium and terminal

Abstract

The present invention provides a downlink non-orthogonal multiple access communication method and system, storage medium, and terminal, comprising the following steps: obtaining a signal transmitted by a base station to each user after cooperative reflection via multiple intelligent reflective surfaces; calculating the signal-to-interference-plus-noise ratio (SINR) of the signal; obtaining the sum of the rates of each user based on the SINR; obtaining the reflection coefficient matrix of the intelligent reflective surface corresponding to the maximum value of the sum of the rates and the power allocated by the base station to the user, thereby implementing downlink non-orthogonal multiple access communication assisted by multiple intelligent reflective surfaces based on the reflection coefficient matrix and the power. The downlink non-orthogonal multiple access communication method and system, storage medium, and terminal of the present invention are based on downlink non-orthogonal multiple access technology assisted by the cooperative multi-intelligent reflective surfaces, effectively enhancing communication system performance.

Description

Technical Field

[0001] The present invention relates to the technical field of wireless communications, and in particular to a downlink non-orthogonal multiple access communication method and system, a storage medium and a terminal. Background Art

[0002] In the prior art, cellular communication systems mainly use orthogonal multiple access technology. Due to the limitation of the number of orthogonal resources, the number of users that the orthogonal multiple access technology can support is subject to certain restrictions. The rapid increase in the density of communication networks currently means that the number of user terminals is also growing rapidly, and the existing orthogonal multiple access technology has gradually been unable to meet the high spectrum utilization and high connection density required by future communication networks. Therefore, non-orthogonal multiple access technology (NOMA) is used to meet this challenge. There are currently a variety of non-orthogonal methods for transmitting data, such as multiplexing and allocating users in the power domain for multiple access. Specifically, the signals of different users are superimposed in the power domain at the transmitting end, and the serial interference cancellation technology is used at the receiving end to separate the signals of each user in turn.

[0003] As communication network coverage density increases, wireless communication environments become more complex. Intelligent Reflecting Surfaces (IRS), a key technology for intelligently controlling wireless transmission environments, can proactively alter wireless channels, enhancing signal transmission effectiveness and ensuring that signals are more aligned with transmission requirements. An IRS is composed of multiple passive reflective elements, each of which can intelligently adjust reflection phase and amplitude through software, resulting in more directional signal reflection to the user end.

[0004] Therefore, the combination of smart reflective surfaces and non-orthogonal multiple access (NOMA) technology is a novel communication method for enhancing signal transmission. However, existing methods only consider the combination of a single smart reflective surface with NMA. Due to the randomness of user locations, a single smart reflective surface within a given range in a communication system deploying smart reflective surfaces cannot effectively serve multiple dispersed users. Summary of the Invention

[0005] In view of the shortcomings of the prior art described above, the object of the present invention is to provide a downlink non-orthogonal multiple access communication method and system, a storage medium and a terminal, based on downlink non-orthogonal multiple access technology assisted by multiple intelligent reflective surfaces, to effectively enhance the performance of the communication system.

[0006] To achieve the above-mentioned and other related objectives, the present invention provides a downlink non-orthogonal multiple access communication method, comprising the following steps: obtaining a signal sent by a base station to each user after cooperative reflection via multiple smart reflective surfaces; calculating a signal-to-interference-plus-noise ratio (SIR) of the signal; obtaining a rate sum of each user based on the SIR; and obtaining a reflection coefficient matrix of the smart reflective surface corresponding to the maximum value of the rate sum and the power allocated by the base station to the user, thereby implementing downlink non-orthogonal multiple access communication with the cooperation of multiple smart reflective surfaces based on the reflection coefficient matrix and the power.

[0007] In one embodiment of the present invention, obtaining a signal sent by a base station to each user after being cooperatively reflected by multiple smart reflective surfaces includes the following steps:

[0008] Get the signal from the base station Where K represents the number of users, p k represents the power allocated by the base station to the kth user, s k represents the data flow allocated by the base station to the k-th user;

[0009] according to Calculate the signal sent by the base station to the kth user after being reflected by multiple smart reflective surfaces, where N represents the number of smart reflective surfaces, g n represents the channel coefficient between the base station and the nth smart reflector surface, f n,k represents the channel coefficient between the nth smart reflector and the kth user, h k represents the channel coefficient between the base station and the user, Θ n represents the reflection coefficient matrix of the nth smart reflector, n0 represents additive white Gaussian noise, and H represents transpose.

[0010] In one embodiment of the present invention, where λ n,m and θ n,m The reflection amplitude and reflection phase corresponding to the m-th reflection element of the n-th smart reflection surface, 1≤m≤M, where M represents the number of reflection elements of the smart reflection surface.

[0011] In one embodiment of the present invention, according to Calculate the signal-to-interference-noise ratio of the kth user's signal, where N represents the number of smart reflective surfaces, g n represents the channel coefficient between the base station and the nth smart reflector surface, f n,k represents the channel coefficient between the nth smart reflector and the kth user, h k represents the channel coefficient between the base station and the user, Θ n represents the reflection coefficient matrix of the nth smart reflective surface, p krepresents the power allocated by the base station to the kth user, σ 2 represents the power of additive white Gaussian noise, and H represents the transpose.

[0012] In one embodiment of the present invention, according to Get the sum of the rates of each user, where K represents the number of users, SINR k represents the signal-to-interference-and-noise ratio of the k-th user's signal.

[0013] The present invention provides a downlink non-orthogonal multiple access communication system, comprising a signal acquisition module, a calculation module, a rate and acquisition module and a communication module;

[0014] The signal acquisition module is used to acquire the signal sent by the base station to each user after being collaboratively reflected by multiple intelligent reflective surfaces;

[0015] The calculation module is used to calculate the signal-to-interference-and-noise ratio of the signal;

[0016] The rate sum acquisition module is configured to acquire the rate sum of each user based on the signal to interference and noise ratio;

[0017] The communication module is used to obtain the reflection coefficient matrix of the smart reflection surface corresponding to the maximum value of the rate sum and the power allocated to the user by the base station, so as to realize downlink non-orthogonal multiple access communication assisted by multiple smart reflection surfaces based on the reflection coefficient matrix and the power.

[0018] The present invention provides a storage medium on which a computer program is stored. When the program is executed by a processor, the above-mentioned downlink non-orthogonal multiple access communication method is realized.

[0019] The present invention provides a downlink non-orthogonal multiple access communication terminal, comprising: a processor and a memory;

[0020] The memory is used to store computer programs;

[0021] The processor is configured to execute the computer program stored in the memory, so as to enable the downlink non-orthogonal multiple access communication terminal to execute the above-mentioned downlink non-orthogonal multiple access communication method.

[0022] The present invention provides a downlink non-orthogonal multiple access communication system, comprising the above-mentioned downlink non-orthogonal multiple access communication terminal, a base station, multiple smart reflective surfaces and multiple users;

[0023] The smart reflecting surface is used to reflect the signal sent by the base station to the multiple users.

[0024] In one embodiment of the present invention, the multiple smart reflective surfaces work simultaneously and are positionally variable; the multiple users are distributed in a centralized manner or in a decentralized manner.

[0025] As described above, the downlink non-orthogonal multiple access communication method and system, storage medium, and terminal of the present invention have the following beneficial effects:

[0026] (1) Downlink non-orthogonal multiple access technology based on the coordinated assistance of multiple intelligent reflectors effectively enhances the performance of the communication system;

[0027] (2) Considering the dispersion of users and the large access volume, multiple intelligent reflective surfaces are used to cover all users, which is suitable for decentralized multi-user scenarios in communication networks. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] Figure 1 Shown is a flow chart of a downlink non-orthogonal multiple access communication method according to an embodiment of the present invention;

[0029] Figure 2 Shown is a schematic diagram of the collaborative working principle of multiple intelligent reflective surfaces of the present invention;

[0030] Figure 3 A schematic diagram showing the rate of a downlink non-orthogonal multiple access communication system assisted by cooperative multi-intelligent reflectors of the present invention and its variation with user displacement in one embodiment;

[0031] Figure 4 Shown is a schematic structural diagram of a downlink non-orthogonal multiple access communication system according to an embodiment of the present invention;

[0032] Figure 5 Shown is a schematic structural diagram of a downlink non-orthogonal multiple access communication terminal in one embodiment of the present invention;

[0033] Figure 6 FIG. 1 is a schematic structural diagram of a downlink non-orthogonal multiple access communication system according to another embodiment of the present invention.

[0034] Component number description

[0035] 41 Signal acquisition module

[0036] 42 Computing Modules

[0037] 43 Rate and Acquisition Module

[0038] 44 Communication Module

[0039] 51 processors

[0040] 52 Memory

[0041] 61 Downlink Non-Orthogonal Multiple Access Communication Terminal

[0042] 62 base stations

[0043] 63 Smart Reflective Surface

[0044] 64 users DETAILED DESCRIPTION

[0045] The following describes the embodiments of the present invention through specific examples. Those skilled in the art can easily understand other advantages and effects of the present invention from the content disclosed in this specification. The present invention can also be implemented or applied through other different specific embodiments. The details in this specification can also be modified or changed based on different viewpoints and applications without departing from the spirit of the present invention. It should be noted that the following embodiments and features in the embodiments can be combined with each other unless they conflict.

[0046] It should be noted that the illustrations provided in the following embodiments are merely schematic illustrations of the basic concept of the present invention. Therefore, the illustrations only show components related to the present invention and are not drawn according to the number, shape, and size of components in actual implementation. In actual implementation, the type, quantity, and proportion of each component may be changed arbitrarily, and the component layout may also be more complex.

[0047] The downlink non-orthogonal multiple access communication method and system, storage medium and terminal of the present invention adopt downlink non-orthogonal multiple access technology assisted by multiple intelligent reflective surfaces, so that users in all ranges can receive signals sent by the base station, thereby effectively enhancing the performance of the communication system and being extremely practical.

[0048] like Figure 1 As shown, in one embodiment, the downlink non-orthogonal multiple access communication method of the present invention includes the following steps:

[0049] Step S1: Acquire signals sent to each user by a base station after being cooperatively reflected by multiple smart reflective surfaces.

[0050] Specifically, if Figure 1 As shown, in a downlink non-orthogonal multiple access communication system composed of a base station (BS) and multiple users (User1, User2, etc.), the present invention deploys multiple intelligent reflecting surfaces (IRS1, IRS2, etc.). The multiple intelligent reflecting surfaces collaboratively serve multiple users. The base station broadcasts the superimposed signal required by multiple users. The superimposed signal is transmitted to multiple users through the collaborative reflection of the multiple intelligent reflecting surfaces. The displacement range of the multiple users is between the multiple intelligent reflecting surfaces. It should be noted that the multiple users can adopt a centralized distribution method or a decentralized distribution method. The multiple intelligent reflecting surfaces work simultaneously, and the positions are flexible and variable, not fixed. The intelligent reflecting surfaces can be deployed on the base station side, between the base station and the user, and on the user side. Different deployment positions will have different impacts on system performance.

[0051] In order to optimize the downlink non-orthogonal multiple access communication of the present invention, it is necessary to analyze the signal transmission process and then achieve system optimization by setting parameters of the base station and the smart reflective surface.

[0052] In one embodiment of the present invention, obtaining a signal sent by a base station to each user after being cooperatively reflected by multiple smart reflective surfaces includes the following steps:

[0053] 11) Get the signal from the base station Where K represents the number of users, p k represents the power allocated by the base station to the kth user, s k represents the data flow allocated by the base station to the k-th user.

[0054] Specifically, for a wireless broadcast transmission signal system, assume there are K users, N smart reflectors, and 1 base station. The power allocated by the base station to the Kth user is p k , the data flow is s k Therefore, the signal finally sent by the base station is

[0055] 12) According to Calculate the signal sent by the base station to the kth user after being reflected by multiple smart reflective surfaces, where N represents the number of smart reflective surfaces, g n represents the channel coefficient between the base station and the nth smart reflector surface, f n,k represents the channel coefficient between the nth smart reflector and the kth user, h k represents the channel coefficient between the base station and the user, Θ n represents the reflection coefficient matrix of the nth smart reflector, n0 represents additive Gaussian white noise, n0~CN(0,σ 2 ), H represents transpose.

[0056] Specifically, each smart reflective surface has M passive reflective elements. where λ n,m and θ n,m The reflection amplitude and reflection phase corresponding to the mth reflection element of the nth smart reflection surface, 1≤m≤M,λ n,m ∈[0,1],θ n,m ∈[0,2π), n=1,2…N.

[0057] The channel g corresponding to the link between the base station and the nth smart reflector n The channel f corresponding to the link between the nth smart reflector and the kth user n,k They are all Rice fading channels, and the expressions are as follows:

[0058]

[0059]

[0060] in, represents the path loss, α is the path damage coefficient; γ is the Rice fading factor; g LoS 、f LoS With g NLoS 、f NLoS They represent the visible path component and the non-visible path component in the corresponding link, B represents the base station, and I n Indicates the nth smart reflective surface, U k represents the kth user, BI n represents the link between the base station and the nth smart reflector, I n U k Indicates the link between the nth smart reflector and the kth user.

[0061] Step S2: Calculate the signal-to-interference-and-noise ratio of the signal.

[0062] Specifically, the signal to interference plus noise ratio (SINR) is the ratio of the signal power received by the user to the sum of the interference signal power and the ambient noise power. In the present invention, the SINR can be expressed in a customized manner according to different users or in a unified manner.

[0063] Since multiple smart reflective surfaces collaborate to serve multiple users in the communication network, the signal received by one user is a superimposed signal from multiple combined channels reflected by the smart reflective surfaces. According to the principle of Successive Interference Cancellation (SIC) applied at the receiver end in the downlink NOMA technology, the demodulation order of users is determined according to the strength of the channel state in which the users are located. Whenever a user's signal is successfully decoded, it is eliminated from the received superimposed signal, and all signals that have not been decoded are treated as noise. Assuming that the channel state of the (k-1)th user is better than that of the kth user, the receiver demodulates in the order of demodulating the information of the K, K-1, ..., 1th users. Then, the signal-to-interference-and-noise ratio corresponding to the kth user is where σ 2 represents the power of additive white Gaussian noise.

[0064] Step S3: Obtain the sum of the rates of each user based on the signal to interference and noise ratio.

[0065] Specifically, when the transmission rate of the limited user is not less than the minimum transmission rate, and the sum of the power allocated to the user by the base station is not greater than the total power emitted by the base station, the sum of the rates of the various users is At the same time, the composite channel gain corresponding to user k is Among them, R k represents the transmission rate of user k.

[0066] Step S4: Obtain the reflection coefficient matrix of the smart reflecting surface corresponding to the maximum value of the rate sum and the power allocated to the user by the base station, so as to implement downlink non-orthogonal multiple access communication assisted by multiple smart reflecting surfaces based on the reflection coefficient matrix and the power.

[0067] Specifically, based on the sum of the rates, the sum of the rates is maximized. Preferably, by optimizing some parameters that determine the sum of the rates, such as the power allocated by the base station to the user and the reflection coefficient of the smart reflective surface, through mathematical methods such as convex optimization algorithms, the system performance can be enhanced. Figure 3 As shown in the figure, when multiple smart reflectors are deployed on the base station side, between the base station and the user, and on the user side, the system rate and change vary with user displacement. Furthermore, based on optimized base station power allocation, the solid line represents the rate and change corresponding to the optimized reflection coefficient, while the dashed line represents the rate and change corresponding to the random reflection coefficient.

[0068] Specifically, combined with some constraints in the communication system, such as the user's transmission rate R k Not less than the minimum transmission rate R min , the sum of the power allocated by the base station to the user Not greater than the total power p emitted by the base station max For a system consisting of two smart reflective surfaces, the optimization problem of the sum of the rates can be expressed as:

[0069]

[0070] sqFt k ≥R min

[0071]

[0072] |Θ n，mm |≤1

[0073] C1≥C2

[0074]

[0075] The above optimization problem is a non-convex problem and needs to be transformed into a convex problem. First, a new variable μ is introduced k , the expression is as follows:

[0076]

[0077] Then, the optimization problem is transformed into

[0078]

[0079]

[0080]

[0081] |Θ n，mm |≤1

[0082] C1≥C2

[0083]

[0084] Because p k and Θ n The coupling degree is relatively high, so the above optimization problem is transformed into two sub-problems:

[0085] Sub-question 1:

[0086]

[0087] sqFt k ≥R min

[0088]

[0089]

[0090]

[0091] Sub-question 2:

[0092] findΘ n

[0093] st|Θ n，mm |≤1

[0094] C1≥C2

[0095]

[0096]

[0097] Therefore, the optimal p corresponding to subproblem 1 is solved using the convex upper bound iterative approximation method. k and μ k , use the continuous convex approximation method to solve the optimal reflection coefficient matrix Θ corresponding to subproblem 2 n , we can get the maximum rate and. According to the maximum rate and corresponding p k and Θ n , efficient downlink non-orthogonal multiple access communication can be achieved.

[0098] like Figure 4 As shown, in one embodiment, the downlink non-orthogonal multiple access communication system of the present invention includes a signal acquisition module 41 , a calculation module 42 , a rate and acquisition module 43 and a communication module 44 .

[0099] The signal acquisition module 41 is used to acquire the signal sent by the base station to each user after being cooperatively reflected by multiple smart reflective surfaces.

[0100] The calculation module 42 is connected to the signal acquisition module 41 and is configured to calculate the signal-to-interference-and-noise ratio (SINR) of the signal.

[0101] The rate sum acquisition module 43 is connected to the calculation module 42 and is configured to acquire the rate sum of each user based on the signal to interference and noise ratio.

[0102] The communication module 44 is connected to the rate and acquisition module 43, and is used to obtain the reflection coefficient matrix of the intelligent reflection surface corresponding to the maximum value of the rate and the power allocated to the user by the base station, so as to realize downlink non-orthogonal multiple access communication assisted by multiple intelligent reflection surfaces based on the reflection coefficient matrix and the power.

[0103] The structures and principles of the signal acquisition module 41, the calculation module 42, the rate and acquisition module 43 and the communication module 44 correspond to the steps in the above-mentioned downlink non-orthogonal multiple access communication method, and are therefore not described in detail here.

[0104] It should be understood that the division of the various modules of the above apparatus is merely a division of logical functions. In actual implementation, they may be fully or partially integrated into a single physical entity or physically separated. Furthermore, these modules may be implemented entirely in software called by a processing element, entirely in hardware, or partially in software called by a processing element, while others may be implemented in hardware. For example, module x may be a separate processing element or integrated into a chip of the above apparatus. Furthermore, module x may be stored in the form of program code in the memory of the above apparatus, called by a processing element of the apparatus to perform the functions of module x. The implementation of other modules is similar. These modules may be fully or partially integrated or implemented independently. The processing element described herein may be an integrated circuit with signal processing capabilities. During implementation, the steps of the above method or the above modules may be performed by hardware integrated logic circuits in the processor element or by software instructions. The above modules can be one or more integrated circuits configured to implement the above methods, such as one or more application-specific integrated circuits (ASICs), one or more digital signal processors (DSPs), one or more field programmable gate arrays (FPGAs), etc. When a module is implemented by scheduling program code through a processing element, the processing element can be a general-purpose processor, such as a central processing unit (CPU) or other processor capable of calling program code. These modules can be integrated together and implemented in the form of a system-on-a-chip (SOC).

[0105] The storage medium of the present invention stores a computer program that, when executed by a processor, implements the aforementioned downlink non-orthogonal multiple access communication method. Preferably, the storage medium includes any medium capable of storing program code, such as ROM, RAM, a magnetic disk, a USB flash drive, a memory card, or an optical disk.

[0106] like Figure 5 As shown, in one embodiment, the downlink non-orthogonal multiple access communication terminal of the present invention includes: a processor 51 and a memory 52.

[0107] The memory 52 is used to store computer programs.

[0108] The memory 52 includes various media capable of storing program codes, such as ROM, RAM, magnetic disk, USB flash drive, memory card or optical disk.

[0109] The processor 51 is connected to the memory 52 and is configured to execute the computer program stored in the memory so as to enable the downlink non-orthogonal multiple access communication terminal to execute the above-mentioned downlink non-orthogonal multiple access communication method.

[0110] Preferably, the processor 51 can be a general-purpose processor, including a central processing unit (CPU), a network processor (NP), etc.; it can also be a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field programmable gate array (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components.

[0111] like Figure 6 As shown, in one embodiment, the downlink non-orthogonal multiple access communication system of the present invention includes the above-mentioned downlink non-orthogonal multiple access communication terminal 61 , a base station 62 , a plurality of smart reflective surfaces 63 and a plurality of users 64 .

[0112] The downlink non-orthogonal multiple access communication terminal 61 is connected to the base station 62 , the multiple smart reflective surfaces 63 and the multiple users 64 .

[0113] The smart reflecting surface 63 is connected to the base station 62 and the multiple users 64 , and is configured to reflect the signals sent by the base station 62 to the multiple users 64 .

[0114] In summary, the present invention's downlink non-orthogonal multiple access communication method and system, storage medium, and terminal utilize downlink non-orthogonal multiple access technology assisted by multiple intelligent reflective surfaces, effectively enhancing communication system performance. Taking into account the dispersed nature of users and the high volume of access, multiple intelligent reflective surfaces are employed to cover all users, making it suitable for distributed multi-user scenarios within communication networks. Therefore, the present invention effectively overcomes the shortcomings of existing technologies and possesses high industrial value.

[0115] The above embodiments are merely illustrative of the principles and effects of the present invention and are not intended to limit the present invention. Anyone skilled in the art may modify or alter the above embodiments without departing from the spirit and scope of the present invention. Therefore, all equivalent modifications or alterations made by one of ordinary skill in the art without departing from the spirit and technical principles disclosed herein are intended to be covered by the claims of the present invention.

Claims

1. A downlink non-orthogonal multiple access communication method, characterized in that: The following steps are involved: Acquire the signal sent by the base station to each user after being collaboratively reflected by multiple intelligent reflective surfaces; Calculating a signal-to-interference-and-noise ratio (SINR) of the signal; Obtaining a sum of rates of each user based on the signal to interference and noise ratio; The reflection coefficient matrix of the smart reflecting surface corresponding to the maximum value of the rate sum and the power allocated to the user by the base station are obtained, so as to realize downlink non-orthogonal multiple access communication assisted by multiple smart reflecting surfaces based on the reflection coefficient matrix and the power.

2. The downlink non-orthogonal multiple access communication method according to claim 1, wherein: Acquiring a signal sent to each user by a base station after being cooperatively reflected by multiple smart reflective surfaces includes the following steps: Get the signal from the base station Where K represents the number of users, p k represents the power allocated by the base station to the kth user, s k represents the data flow allocated by the base station to the k-th user; according to Calculate the signal sent by the base station to the kth user after being reflected by multiple smart reflective surfaces, where N represents the number of smart reflective surfaces, g n represents the channel coefficient between the base station and the nth smart reflector surface, f n,k represents the channel coefficient between the nth smart reflector and the kth user, h k represents the channel coefficient between the base station and the user, Θ n represents the reflection coefficient matrix of the nth smart reflector, n0 represents additive white Gaussian noise, and H represents transpose.

3. The downlink non-orthogonal multiple access communication method according to claim 2, wherein: where λ n,m and θ n,m They respectively represent the reflection amplitude and reflection phase corresponding to the mth reflection element of the nth smart reflection surface, 1≤m≤M, and M represents the number of reflection elements of the smart reflection surface.

4. The downlink non-orthogonal multiple access communication method according to claim 1, wherein: according to Calculate the signal-to-interference-noise ratio of the kth user's signal, where N represents the number of smart reflective surfaces, g n represents the channel coefficient between the base station and the nth smart reflector surface, f n,k represents the channel coefficient between the nth smart reflector and the kth user, h k represents the channel coefficient between the base station and the user, Θ n represents the reflection coefficient matrix of the nth smart reflective surface, p k represents the power allocated by the base station to the kth user, σ 2 represents the power of additive white Gaussian noise, and H represents the transpose.

5. The downlink non-orthogonal multiple access communication method according to claim 1, wherein: according to Get the sum of the rates of each user, where K represents the number of users, SINR k represents the signal-to-interference-and-noise ratio of the k-th user's signal.

6. A downlink non-orthogonal multiple access communication system, characterized in that: It includes a signal acquisition module, a calculation module, a rate and acquisition module and a communication module; The signal acquisition module is used to acquire the signal sent by the base station to each user after being collaboratively reflected by multiple intelligent reflective surfaces; The calculation module is used to calculate the signal-to-interference-and-noise ratio of the signal; The rate sum acquisition module is configured to acquire the rate sum of each user based on the signal to interference and noise ratio; The communication module is used to obtain the reflection coefficient matrix of the smart reflection surface corresponding to the maximum value of the rate sum and the power allocated to the user by the base station, so as to realize downlink non-orthogonal multiple access communication assisted by multiple smart reflection surfaces based on the reflection coefficient matrix and the power.

7. A storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the downlink non-orthogonal multiple access communication method according to any one of claims 1 to 5 is implemented.

8. A downlink non-orthogonal multiple access communication terminal, characterized in that: include: processor and memory; The memory is used to store computer programs; The processor is configured to execute the computer program stored in the memory, so as to enable the downlink non-orthogonal multiple access communication terminal to perform the downlink non-orthogonal multiple access communication method according to any one of claims 1 to 5.

9. A downlink non-orthogonal multiple access communication system, characterized in that: The method comprises the downlink non-orthogonal multiple access communication terminal, a base station, a plurality of smart reflective surfaces and a plurality of users as claimed in claim 8; The smart reflecting surface is used to reflect the signal sent by the base station to the multiple users.

10. The downlink non-orthogonal multiple access communication system according to claim 9, characterized in that: The multiple intelligent reflective surfaces work simultaneously and are positionally variable; the multiple users are distributed in a centralized or decentralized manner.

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