Omnidirectional intelligent metasurface assisted non-orthogonal transmission method, device, medium and terminal

Abstract

The application provides an omnidirectional intelligent metasurface assisted non-orthogonal transmission method, device, medium and terminal, which comprises the following steps: updating a receiving end beamforming parameter based on a minimum mean square error receiver algorithm; taking the maximum energy efficiency of an omnidirectional intelligent metasurface assisted non-orthogonal transmission system as a target, updating amplitude and phase parameters of the omnidirectional intelligent metasurface and a transmission power coefficient of a transmitting end; and when a target function of the target converges, performing non-orthogonal transmission by using the updated beamforming parameter, amplitude and phase parameter and transmission power coefficient. The omnidirectional intelligent metasurface assisted non-orthogonal transmission method, device, medium and terminal of the application enhance the receiving signal based on the omnidirectional intelligent metasurface, thereby improving the energy efficiency of the non-orthogonal transmission system.

Description

Technical Field

[0001] This invention relates to the field of wireless communication technology, and in particular to an omnidirectional intelligent metasurface-assisted nonorthogonal transmission method, apparatus, medium, and terminal. Background Technology

[0002] With the rapid development of mobile communication networks and the continuous growth of various network services, mobile data traffic and the number of users are experiencing explosive growth, bringing new challenges to future wireless communication networks. Currently, existing wireless cellular networks mainly employ orthogonal multiple access (OMA) technology, which is characterized by supporting only one user for signal transmission within an orthogonal radio resource. However, as the number of user terminals in cellular networks increases, OMA technology will gradually become insufficient to meet the needs of future wireless communication networks.

[0003] To address this issue, Non-orthogonal multiple access (NOMA) technology emerged. This technology, by multiplexing time-frequency resources, can simultaneously provide services to multiple users within a single orthogonal radio resource. Several methods for non-orthogonal data transmission have been developed, one of which involves multiplexing in the power domain: at the transmitter, signals from different users are superimposed in the power domain; at the receiver, serial interference cancellation techniques can be used to sequentially separate each user's signal. The introduction of NOMA technology has brought new possibilities to the development of future wireless communication networks, better meeting the growing demands of users. However, the energy efficiency of non-orthogonal transmission systems is not ideal, and further research and exploration are needed to optimize and improve this technology to more effectively leverage its performance advantages. Summary of the Invention

[0004] In view of the shortcomings of the prior art described above, the purpose of this invention is to provide an omnidirectional intelligent metasurface-assisted non-orthogonal transmission method, device, medium, and terminal, which enhances the received signal based on the omnidirectional intelligent metasurface, thereby improving the energy efficiency of the non-orthogonal transmission system.

[0005] In a first aspect, the present invention provides an omnidirectional intelligent metasurface-assisted nonorthogonal transmission method, applied to an omnidirectional intelligent metasurface-assisted nonorthogonal transmission system, wherein the omnidirectional intelligent metasurface-assisted nonorthogonal transmission system includes an omnidirectional intelligent metasurface, a transmitter, and a receiver; the transmitter includes a transmission transmitter and / or a reflection transmitter; the omnidirectional intelligent metasurface-assisted nonorthogonal transmission method includes the following steps: updating the receiver beamforming parameters based on a minimum mean square error receiver algorithm; updating the beamforming parameters of the receiver with the goal of maximizing the energy efficiency of the omnidirectional intelligent metasurface-assisted nonorthogonal transmission system. The amplitude and phase parameters of the omnidirectional intelligent metasurface are determined. The transmit power coefficient of the transmitter is updated with the goal of maximizing the energy efficiency of the non-orthogonal transmission system assisted by the omnidirectional intelligent metasurface. Based on the updated receiver beamforming parameters, amplitude and phase parameters, and transmit power coefficient, it is determined whether the objective function has converged. If so, non-orthogonal transmission is performed using the updated receiver beamforming parameters, amplitude and phase parameters, and transmit power coefficient. If not, the receiver beamforming parameters, amplitude and phase parameters, and transmit power coefficient are updated again until the objective function converges.

[0006] In one implementation of the first aspect, according to Update the receiver beamforming parameters for both the transmitting and transmitting ends, where G represents the channel coefficient between the omnidirectional smart metasurface and the receiver, and B... k =p k′ GΘ k′ h k′ (GΘ k′ h k′ ) H +σ 2 I N k∈{r,t}, where r represents the reflecting emitter and t represents the transmitting emitter. When k=r, k′=t; when k=t, k′=r, h k / h k′ Θ represents the channel coefficient between the transmitter and the omnidirectional smart metasurface. k / Θ k′ p represents the transmission / reflection coefficient matrix of an omnidirectional intelligent metasurface. k′ The interference experienced by the reflecting / transmitting transmitter during non-orthogonal transmission, where H represents the conjugate transpose, and σ represents the interference experienced by the reflecting / transmitting transmitter. 2 I represents noise power. N This represents an N×N identity matrix.

[0007] In one implementation of the first aspect, updating the amplitude and phase parameters of the fully intelligent metasurface includes the following steps:

[0008] Using the reflection amplitude, reflection phase, transmission amplitude, and transmission phase of the omnidirectional intelligent metasurface as variable parameters, and the remaining parameters as constant parameters, a first optimization problem is constructed.

[0009] Solve the first optimization problem to obtain the updated amplitude and phase parameters.

[0010] In one implementation of the first aspect, in the first optimization problem, by maximizing ∑ k R k To obtain updated amplitude and phase parameters, where R k Let k ∈ {r,t} be the equivalent channel capacity for different transmitters.

[0011] In one implementation of the first aspect, updating the transmit power coefficient of the transmitter includes the following steps:

[0012] Using the transmit power coefficient of the transmitter as a variable parameter and the other parameters as constant parameters, a second optimization problem is constructed; the second optimization problem is solved to obtain the updated transmit power coefficient.

[0013] In one implementation of the first aspect, in the second optimization problem, an updated transmit power system is obtained under the target based on updated beamforming parameters, amplitude and phase parameters.

[0014] In one implementation of the first aspect, the energy efficiency k∈{r,t}, where R represents the power consumed by the transmitting circuit. k For the equivalent channel capacity of different transmitters, ρ k This refers to the interference experienced by the reflective / transmitting transmitter during non-orthogonal transmission.

[0015] Secondly, the present invention provides an omnidirectional intelligent metasurface-assisted non-orthogonal transmission device, applied to an omnidirectional intelligent metasurface-assisted non-orthogonal transmission system, wherein the omnidirectional intelligent metasurface-assisted non-orthogonal transmission system includes an omnidirectional intelligent metasurface, a transmitter, and a receiver; the transmitter includes a transmission transmitter and / or a reflection transmitter.

[0016] The omnidirectional intelligent metasurface-assisted nonorthogonal transport device includes a first update module, a second update module, a third update module, and a convergence module;

[0017] The first update module is used to update the receiver beamforming parameters based on the minimum mean square error receiver algorithm;

[0018] The second update module is used to update the amplitude and phase parameters of the omnidirectional intelligent metasurface with the goal of maximizing the energy efficiency of the non-orthogonal transport system assisted by the omnidirectional intelligent metasurface.

[0019] The third update module is used to update the transmit power coefficient of the transmitter with the goal of maximizing the energy efficiency of the omnidirectional intelligent metasurface-assisted non-orthogonal transmission system.

[0020] The convergence module is used to determine whether the objective function of the target has converged based on the updated receiver beamforming parameters, amplitude and phase parameters, and transmit power coefficient. If it has converged, non-orthogonal transmission is performed using the updated receiver beamforming parameters, amplitude and phase parameters, and transmit power coefficient. If it has not converged, the receiver beamforming parameters, amplitude and phase parameters, and transmit power coefficient are updated again until the objective function converges.

[0021] Thirdly, the present invention provides a storage medium on which a computer program is stored, which, when executed by a processor, implements the above-described omnidirectional intelligent metasurface-assisted non-orthogonal transmission method.

[0022] Fourthly, the present invention provides a terminal, comprising: a processor and a memory;

[0023] The memory is used to store computer programs;

[0024] The processor is used to execute the computer program stored in the memory, so that the terminal performs the above-described omnidirectional intelligent metasurface-assisted non-orthogonal transmission method.

[0025] As described above, the omnidirectional intelligent metasurface-assisted non-orthogonal transport method, apparatus, medium, and terminal of the present invention have the following beneficial effects:

[0026] (1) Based on the omnidirectional intelligent metasurface enhanced signal reception, the energy efficiency of the non-orthogonal transmission system is effectively improved, which is in line with the development concept of green communication;

[0027] (2) By changing the amplitude and phase of the signal through an omnidirectional intelligent metasurface, the beamforming effect is achieved, so that the transmitter, which is far from the receiver or is blocked and is in the signal coverage blind zone in non-orthogonal transmission, can transmit the signal smoothly, thereby solving the problem of communication rate limitation and low energy efficiency of communication system caused by the obstruction between the transmitter and the receiver.

[0028] (3) It can expand the communication coverage and reduce communication blind spots at low cost;

[0029] (4) The carrier for realizing omnidirectional intelligent metasurfaces is a passive printed circuit board with a thickness of only a few millimeters. It does not require complex circuits and chips to process reflected or transmitted signals. Therefore, omnidirectional intelligent metasurfaces have advantages such as low cost, low power consumption and easy deployment, and are suitable for large-scale deployment to improve and regulate the radio electromagnetic environment. Attached Figure Description

[0030] Figure 1 The diagram shown is a structural schematic of an embodiment of the omnidirectional intelligent metasurface-assisted nonorthogonal transport system of the present invention.

[0031] Figure 2 The flowchart shown is an embodiment of the omnidirectional intelligent metasurface-assisted nonorthogonal transport method of the present invention;

[0032] Figure 3 The diagram shown is a structural schematic of an embodiment of the omnidirectional intelligent metasurface-assisted nonorthogonal transport device of the present invention.

[0033] Figure 4 The diagram shown is a structural schematic of the terminal of the present invention in one embodiment. Detailed Implementation

[0034] The following specific examples illustrate the implementation of the present invention. 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, and various 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, unless otherwise specified, the following embodiments and features described therein can be combined with each other.

[0035] It should be noted that the illustrations provided in the following embodiments are only schematic representations of the basic concept of the present invention. Therefore, the drawings only show the components related to the present invention and are not drawn according to the actual number, shape and size of the components in the actual implementation. In the actual implementation, the form, quantity and proportion of each component can be arbitrarily changed, and the layout of the components may also be more complex.

[0036] Reconfigurable intelligent surfaces (RIS) are typically composed of a large number of electromagnetic units. By applying control signals to these units, radio electromagnetic waves can be dynamically and actively reconfigured to form electromagnetic fields with controllable amplitude and phase. Compared to traditional signal relay methods, RIS have advantages in terms of low cost, low power consumption, and ease of deployment, and have the potential to address the needs and challenges of future wireless communication networks.

[0037] RIS (Radio Reflector System) is a wireless physical layer technology for next-generation mobile communication networks. A RIS reflector unit is a passive device capable of adjusting the phase and amplitude of radio electromagnetic wave signal propagation. RIS uses multiple reflector units to beamform free-space signals, significantly enhancing signal strength at the receiver and improving communication quality and reliability. Among these, the Simultaneously Transmitting and Reflecting RIS (STAR-RIS) is an emerging branch of RIS technology, characterized by its ability to simultaneously change the phase and amplitude of both transmitted and reflected signals, thereby reducing the difficulty of RIS deployment and increasing coverage. This invention utilizes an omnidirectional intelligent metasurface to assist in non-orthogonal multiple access technology, enabling more flexible responses to different communication scenarios and needs, providing customized signal coverage and transmission performance, and improving the energy efficiency of non-orthogonal signal transmission.

[0038] like Figure 1 As shown, an omnidirectional smart metasurface-assisted non-orthogonal multiple access transmission system typically includes two single-antenna transmitters (i.e., a reflective transmitter and a transmissive transmitter), an omnidirectional smart metasurface, and a receiver. The smart metasurface integrates both reflection and transmission functions. The transmissive and reflective transmitters can transmit their respective communication data with specific transmission power, modulation scheme, and coding rate according to control signals sent by the receiver. The receiver sends control signals containing information such as transmission power, modulation scheme, and coding rate to the transmissive and reflective transmitters, and then receives the communication data from them. It should be noted that the omnidirectional smart metasurface-assisted non-orthogonal multiple access transmission system can have both reflective and transmissive transmitters simultaneously, or only one or the other. The reflective and transmissive transmitters are named according to their relative positions to the omnidirectional smart metasurface and the receiver; they do not need to be customized or have differences in hardware specifications or communication standards. The transmitter and receiver in the omnidirectional intelligent metasurface-assisted nonorthogonal multiple access transmission system can be single-antenna devices or multi-antenna devices.

[0039] When an obstacle blocks the line-of-sight communication link between the transmitter and receiver, signal transmission may be obstructed, resulting in poor received signal quality and signal coverage blind spots. To address this, omnidirectional smart metasurfaces can be deployed in suitable spatial locations to construct reflection or transmission channels, thereby establishing a virtual line-of-sight communication link, improving channel quality, and ensuring smooth signal transmission.

[0040] Compared to single-function smart metasurfaces that only reflect or transmit signals, omnidirectional smart metasurfaces integrate both reflection and transmission capabilities, offering omnidirectional coverage and greater adjustment freedom. Firstly, traditional smart metasurfaces, supporting only a single reflection or transmission function, require the transmitter and receiver to be located on the same side of a plane, limiting their deployment. Omnidirectional smart metasurfaces, integrating transmission and reflection, allow the transmitter and receiver to be located on opposite sides, with different transmitters also possible, achieving omnidirectional coverage and making deployment more flexible. Secondly, single-function passive smart metasurfaces typically only adjust the phase of the reflected or transmitted signal. Omnidirectional smart metasurfaces, however, can perform energy segmentation of the reflected and transmitted signals, adjusting not only the phase but also the amplitude of both signals simultaneously. This provides greater adjustment freedom and results in better energy efficiency through signal energy adjustment.

[0041] In non-orthogonal transmission, differences in channel quality are necessary for different users to reduce inter-user interference and achieve better communication performance gains. Omnidirectional smart metasurfaces effectively meet this requirement by segmenting the energy of reflected and transmitted signals, increasing the diversity of channel conditions for non-orthogonal users. Therefore, omnidirectional smart metasurface-assisted non-orthogonal transmission technology can fully utilize the low cost, low power consumption, and easy deployment characteristics of omnidirectional smart metasurfaces to maximize the performance gains of non-orthogonal transmission and improve the energy efficiency of communication systems.

[0042] The omnidirectional intelligent metasurface-assisted nonorthogonal transport method of the present invention is applied to the aforementioned omnidirectional intelligent metasurface-assisted nonorthogonal transport system. For example... Figure 2 As shown, in one embodiment, the omnidirectional intelligent metasurface-assisted nonorthogonal transport method of the present invention includes steps S1 to S4.

[0043] Step S1: Update the receiver beamforming parameters based on the minimum mean square error receiver algorithm.

[0044] Specifically, the channel coefficient between the transmission transmitter and the omnidirectional smart metasurface is: The channel coefficient between the reflective transmitter and the omnidirectional smart metasurface is The channel coefficient between the omnidirectional intelligent metasurface and the receiver is The transmission / reflection coefficient matrix of the omnidirectional intelligent metasurface is It reflects the amplitude and phase variation properties of the electromagnetic units of the omnidirectional intelligent metasurface. Here, M represents the number of electromagnetic units of the omnidirectional intelligent metasurface, and N represents the number of antennas at the receiver. Therefore, the non-orthogonal superposition signal received by the receiver can be represented as...

[0045]

[0046] Where, p r x represents the signal transmission power of the reflecting transmitter. r p represents the unit power signal at the reflected transmitter. t x represents the signal transmission power of the transmission transmitter. t This represents the unit power signal at the transmitting end. represents the beamforming vectors of the receiver for the reflecting / transmitting transmitter, respectively, and n represents additive white Gaussian noise.

[0047] Energy efficiency is an important performance indicator for non-orthogonal transmission systems. Energy efficiency refers to the sum of the effective information transmitted by all users within the system per unit of energy consumed. In this invention, the energy efficiency of a non-orthogonal transmission system can be expressed as:

[0048]

[0049] Where r represents the reflecting emitter, t represents the transmitting emitter, and k∈{r,t}. When k=r, k′=t; when k=t, ... R represents the power consumed by the transmitting circuit. k The equivalent channel capacity for different transmitters is expressed as follows:

[0050]

[0051] Where ρ k The interference experienced by the reflection / transmission transmitter during non-orthogonal transmission is mainly determined by the demodulation order; the signal demodulated first will be affected by interference from the signal demodulated later.

[0052] In this invention, the receiver beamforming parameters designed using a minimum mean square error receiver can be expressed as follows: Where G represents the channel coefficient between the omnidirectional intelligent metasurface and the receiver, and B... k =p k′ GΘ k′ h k′ (GΘ k′ h k′ ) H +σ 2 I N h k / h k′ Θ represents the channel coefficient between the transmitter and the omnidirectional smart metasurface. j / Θ k′ p represents the transmission / reflection coefficient matrix of an omnidirectional intelligent metasurface. k′ The interference experienced by the reflecting / transmitting transmitter during non-orthogonal transmission, where H represents the conjugate transpose, and σ represents the interference experienced by the reflecting / transmitting transmitter.2 I represents noise power. N This represents an N×N identity matrix.

[0053] Step S2: With the goal of maximizing the energy efficiency of the omnidirectional intelligent metasurface-assisted non-orthogonal transport system, update the amplitude and phase parameters of the omnidirectional intelligent metasurface.

[0054] Specifically, the amplitude and phase parameters of the omnidirectional intelligent metasurface are determined by solving an optimization problem that maximizes energy efficiency. These amplitude and phase parameters include the reflection amplitude parameter, transmission amplitude parameter, reflection phase parameter, and transmission phase parameter of the omnidirectional intelligent metasurface. It can be understood that in the expression for energy efficiency, the denominator includes... It is only related to the power parameters of the transmitter, and is a constant in the parameter optimization process of the omnidirectional smart metasurface. Therefore, to simplify the problem, only the numerator of the energy efficiency can be considered in this step, i.e., by maximizing ∑ k R k The optimal amplitude and phase parameters of the omnidirectional intelligent metasurface are obtained. First, the reflection amplitude, reflection phase, transmission amplitude, and transmission phase of the omnidirectional intelligent metasurface are used as variable parameters, while the remaining parameters are constant parameters, to construct a first optimization problem. Then, the first optimization problem is solved to obtain the updated amplitude and phase parameters.

[0055] Step S3: Update the transmit power coefficient of the transmitter with the goal of maximizing the energy efficiency of the omnidirectional intelligent metasurface-assisted non-orthogonal transmission system.

[0056] Specifically, firstly, a second optimization problem is constructed using the transmit power coefficient of the transmitting end as a variable parameter and the other parameters as constant parameters; then, the second optimization problem is solved to obtain the updated transmit power coefficient.

[0057] Step S4: Based on the updated receiver beamforming parameters, amplitude and phase parameters, and transmit power coefficient, determine whether the objective function of the target has converged; if yes, perform non-orthogonal transmission with the updated receiver beamforming parameters, amplitude and phase parameters, and transmit power coefficient; if no, update the receiver beamforming parameters, amplitude and phase parameters, and transmit power coefficient again until the objective function converges.

[0058] Specifically, this invention improves communication performance and increases the energy efficiency of the system by optimizing the receiver beamforming parameters, transmitter power coefficient, and receiver beamforming parameters of the omnidirectional intelligent metasurface unit for different channel conditions. Therefore, when the value of the objective function stabilizes, it indicates that the parameters in the system have stabilized and converged, and the energy efficiency of the omnidirectional intelligent metasurface-assisted non-orthogonal transmission system is optimal. Non-orthogonal transmission can then be performed based on the optimal receiver beamforming parameters, amplitude and phase parameters, and transmitter power coefficient. Otherwise, steps S1-S3 are repeated until the objective function converges.

[0059] It should be noted that the omnidirectional intelligent metasurface-assisted non-orthogonal transmission method of the present invention optimizes parameters with the goal of maximizing system energy efficiency. Depending on the type and number of transmitters, the number of transmitter antennas, the number of receiver antennas, and the number of intelligent metasurface units in the non-orthogonal transmission system, the types and dimensions of system variable parameters can vary, and no specific limitations are imposed in this invention.

[0060] The scope of protection of the omnidirectional intelligent metasurface-assisted non-orthogonal transport method described in this embodiment is not limited to the execution order of the steps listed in this embodiment. Any solution implemented by adding, subtracting, or replacing steps in the prior art based on the principles of this invention is included within the scope of protection of this invention.

[0061] This invention also provides an omnidirectional intelligent metasurface-assisted non-orthogonal transport system. The omnidirectional intelligent metasurface-assisted non-orthogonal transport system can implement the omnidirectional intelligent metasurface-assisted non-orthogonal transport method described in this invention. However, the implementation device of the omnidirectional intelligent metasurface-assisted non-orthogonal transport system described in this invention includes, but is not limited to, the structure of the omnidirectional intelligent metasurface-assisted non-orthogonal transport system listed in this embodiment. All structural modifications and substitutions of the prior art made according to the principles of this invention are included within the protection scope of this invention.

[0062] The omnidirectional intelligent metasurface-assisted non-orthogonal transmission device of the present invention is applied to an omnidirectional intelligent metasurface-assisted non-orthogonal transmission system, wherein the omnidirectional intelligent metasurface-assisted non-orthogonal transmission system includes an omnidirectional intelligent metasurface, a transmitter, and a receiver; the transmitter includes a transmission transmitter and / or a reflection transmitter.

[0063] like Figure 3 As shown, in one embodiment, the omnidirectional intelligent metasurface-assisted nonorthogonal transport device includes a first update module 31, a second update module 32, a third update module 33, and a convergence module 34.

[0064] The first update module 31 is used to update the receiver beamforming parameters based on the minimum mean square error receiver algorithm.

[0065] The second update module 32 is used to update the amplitude and phase parameters of the omnidirectional intelligent metasurface with the goal of maximizing the energy efficiency of the non-orthogonal transport system assisted by the omnidirectional intelligent metasurface.

[0066] The third update module 33 is used to update the transmit power coefficient of the transmitter with the goal of maximizing the energy efficiency of the omnidirectional intelligent metasurface-assisted non-orthogonal transmission system.

[0067] The convergence module 34 is connected to the first update module 31, the second update module 32, and the third update module 33. It is used to determine whether the objective function of the target has converged based on the updated receiver beamforming parameters, amplitude and phase parameters, and transmit power coefficient. If so, non-orthogonal transmission is performed using the updated receiver beamforming parameters, amplitude and phase parameters, and transmit power coefficient. If not, the receiver beamforming parameters, amplitude and phase parameters, and transmit power coefficient are updated again until the objective function converges.

[0068] It should be noted that the structure and principle of the first update module 31, the second update module 32, the third update module 33 and the convergence module 34 correspond one-to-one with the steps in the above-mentioned omnidirectional intelligent metasurface-assisted non-orthogonal transport method, so they will not be repeated here.

[0069] In the embodiments provided by this invention, it should be understood that the disclosed systems, apparatuses, or methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative. For instance, the division of modules / units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple modules or units may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection of apparatuses or modules or units may be electrical, mechanical, or other forms.

[0070] The modules / units described as separate components may or may not be physically separate. The components shown as modules / units may or may not be physical modules; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules / units can be selected to achieve the objectives of the embodiments of the present invention, depending on actual needs. For example, the functional modules / units in the various embodiments of the present invention may be integrated into one processing module, or each module / unit may exist physically separately, or two or more modules / units may be integrated into one module / unit.

[0071] Those skilled in the art will further recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of both. To clearly illustrate the interchangeability of hardware and software, the components and steps of the various examples have been generally described in terms of functionality in the foregoing description. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementations should not be considered beyond the scope of this invention.

[0072] This invention also provides a computer-readable storage medium. Those skilled in the art will understand that all or part of the steps in the omnidirectional intelligent metasurface-assisted non-orthogonal transmission method of the above embodiments can be executed by a program instructing a processor. The program can be stored in a computer-readable storage medium, which is a non-transitory medium, such as random access memory, read-only memory, flash memory, hard disk, solid-state drive, magnetic tape, floppy disk, optical disk, and any combination thereof. The storage medium can be any available medium accessible to a computer or a data storage device such as a server or data center that integrates one or more available media. This available medium can be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., digital video disc (DVD)), or a semiconductor medium (e.g., solid-state disk (SSD)).

[0073] This invention also provides a terminal. The terminal includes a processor and a memory.

[0074] The memory is used to store computer programs.

[0075] The memory includes various media capable of storing program code, such as ROM, RAM, magnetic disk, USB flash drive, memory card, or optical disk.

[0076] The processor is connected to the memory and is used to execute the computer program stored in the memory so that the terminal performs the above-described omnidirectional intelligent metasurface-assisted non-orthogonal transmission method.

[0077] Preferably, the processor 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, or discrete hardware components.

[0078] like Figure 4 As shown, the terminal of the present invention is presented in the form of a general-purpose computing device. The components of the terminal may include, but are not limited to: one or more processors or processing units 41, a memory 42, and a bus 43 connecting different system components (including the memory 42 and the processing unit 41).

[0079] Bus 43 represents one or more of several bus architectures, including a memory bus or memory controller, a peripheral bus, a graphics acceleration port, a processor, or a local bus using any of the various bus architectures. Examples of these architectures include, but are not limited to, the Industry Standard Architecture (ISA) bus, the Micro Channel Architecture (MAC) bus, the Enhanced ISA bus, the Video Electronics Standards Association (VESA) local bus, and the Peripheral Component Interconnect (PCI) bus.

[0080] Terminals typically include various computer system-readable media. These media can be any available media that can be accessed by the terminal, including volatile and non-volatile media, and removable and non-removable media.

[0081] Memory 42 may include computer system readable media in the form of volatile memory, such as random access memory (RAM) 421 and / or cache memory 422. The terminal may further include other removable / non-removable, volatile / non-volatile computer system storage media. By way of example only, storage system 424 may be used to read and write non-removable, non-volatile magnetic media (…). Figure 4 Not shown; usually referred to as a "hard drive"). Although Figure 4Not shown, a disk drive for reading and writing to a removable non-volatile disk (e.g., a "floppy disk") and an optical disk drive for reading and writing to a removable non-volatile optical disk (e.g., a CD-ROM, DVD-ROM, or other optical media) may be provided. In these cases, each drive may be connected to bus 43 via one or more data media interfaces. Memory 42 may include at least one program product having a set (e.g., at least one) of program modules configured to perform the functions of the embodiments of the present invention.

[0082] A program / utility 424 having a set (at least one) of program modules 4241 may be stored, for example, in memory 42. Such program modules 4241 include, but are not limited to, an operating system, one or more application programs, other program modules, and program data. Each or some combination of these examples may include an implementation of a network environment. Program modules 4241 typically perform the functions and / or methods described in the embodiments of the present invention.

[0083] The terminal can also communicate with one or more external devices (e.g., keyboard, pointing device, display, etc.), one or more devices that enable user interaction with the terminal, and / or any device that enables the terminal to communicate with one or more other computing devices (e.g., network interface card, modem, etc.). This communication can be performed through input / output (I / O) interface 44. Furthermore, the terminal can also communicate with one or more networks (e.g., local area network (LAN), wide area network (WAN), and / or public networks, such as the Internet) through network adapter 45. Figure 4 As shown, network adapter 45 communicates with other modules of the terminal via bus 43. It should be understood that, although not shown in the figure, other hardware and / or software modules can be used in conjunction with the terminal, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems.

[0084] The above embodiments are merely illustrative of the principles and effects of the present invention and are not intended to limit the invention. Any person skilled in the art can 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 those skilled in the art without departing from the spirit and technical concept disclosed in the present invention should still be covered by the claims of the present invention.

Claims

1. A non-orthogonal transport method assisted by an omnidirectional intelligent metasurface, characterized in that: A non-orthogonal transmission system assisted by an omnidirectional intelligent metasurface is provided, comprising an omnidirectional intelligent metasurface, a transmitter, and a receiver; the transmitter includes a transmission transmitter and / or a reflection transmitter. The omnidirectional intelligent metasurface-assisted non-orthogonal transport method includes the following steps: Update the receiver beamforming parameters based on the minimum mean square error receiver algorithm; With the goal of maximizing the energy efficiency of the omnidirectional intelligent metasurface-assisted nonorthogonal transport system, the amplitude and phase parameters of the omnidirectional intelligent metasurface are updated. With the goal of maximizing the energy efficiency of the omnidirectional intelligent metasurface-assisted non-orthogonal transmission system, the transmit power coefficient of the transmitting end is updated; Based on the updated receiver beamforming parameters, amplitude and phase parameters, and transmit power coefficient, determine whether the objective function of the target has converged; if yes, perform non-orthogonal transmission with the updated receiver beamforming parameters, amplitude and phase parameters, and transmit power coefficient; if no, update the receiver beamforming parameters, amplitude and phase parameters, and transmit power coefficient again until the objective function converges. according to Update the beamforming parameters of the receivers at both the reflective and transmissive transmitters, where... This represents the channel coefficient between the omnidirectional intelligent metasurface and the receiver. , r represents the reflective emitter, and t represents the transmissive emitter. hour, ;when hour, , This represents the channel coefficient between the transmitter and the omnidirectional smart metasurface. This represents the transmission / reflection coefficient matrix of an omnidirectional intelligent metasurface. This represents the interference experienced by the reflecting / transmitting transmitter during non-orthogonal transmission, where H denotes the conjugate transpose. Indicates noise power. The dimension is The identity matrix.

2. The omnidirectional intelligent metasurface-assisted non-orthogonal transport method according to claim 1, characterized in that: Updating the amplitude and phase parameters of the omnidirectional smart metasurface includes the following steps: Using the reflection amplitude, reflection phase, transmission amplitude, and transmission phase of the omnidirectional intelligent metasurface as variable parameters, and the remaining parameters as constant parameters, a first optimization problem is constructed. Solve the first optimization problem to obtain the updated amplitude and phase parameters.

3. The omnidirectional intelligent metasurface-assisted non-orthogonal transport method according to claim 2, characterized in that: In the first optimization problem, by maximizing To obtain updated amplitude and phase parameters, where For the equivalent channel capacity of different transmitters, r represents the reflective emitter and t represents the transmissive emitter.

4. The omnidirectional intelligent metasurface-assisted non-orthogonal transport method according to claim 1, characterized in that: Updating the transmit power coefficient of the transmitter includes the following steps: Using the transmit power coefficient of the transmitter as a variable parameter and the other parameters as constant parameters, a second optimization problem is constructed; the second optimization problem is solved to obtain the updated transmit power coefficient.

5. The omnidirectional intelligent metasurface-assisted non-orthogonal transport method according to claim 4, characterized in that: In the second optimization problem, an updated transmit power system is obtained under the target based on the updated beamforming parameters, amplitude and phase parameters.

6. The omnidirectional intelligent metasurface-assisted non-orthogonal transport method according to claim 1, characterized in that: energy efficiency ,in This refers to the power consumed by the transmitting circuit. For the equivalent channel capacity of different transmitters, This refers to the interference experienced by the reflective / transmitting transmitter during non-orthogonal transmission.

7. An omnidirectional intelligent metasurface-assisted non-orthogonal transport device, characterized in that: A non-orthogonal transmission system assisted by an omnidirectional intelligent metasurface is provided, comprising an omnidirectional intelligent metasurface, a transmitter, and a receiver; the transmitter includes a transmission transmitter and / or a reflection transmitter. The omnidirectional intelligent metasurface-assisted nonorthogonal transport device includes a first update module, a second update module, a third update module, and a convergence module; The first update module is used to update the receiver beamforming parameters based on the minimum mean square error receiver algorithm; The second update module is used to update the amplitude and phase parameters of the omnidirectional intelligent metasurface with the goal of maximizing the energy efficiency of the non-orthogonal transport system assisted by the omnidirectional intelligent metasurface. The third update module is used to update the transmit power coefficient of the transmitter with the goal of maximizing the energy efficiency of the omnidirectional intelligent metasurface-assisted non-orthogonal transmission system. The convergence module is used to determine whether the objective function of the target has converged based on the updated receiver beamforming parameters, amplitude and phase parameters, and transmit power coefficient. If it has converged, non-orthogonal transmission is performed using the updated receiver beamforming parameters, amplitude and phase parameters, and transmit power coefficient. If it has not converged, the receiver beamforming parameters, amplitude and phase parameters, and transmit power coefficient are updated again until the objective function converges. according to Update the beamforming parameters of the receivers at both the reflective and transmissive transmitters, where... This represents the channel coefficient between the omnidirectional intelligent metasurface and the receiver. , r represents the reflective emitter, and t represents the transmissive emitter. hour, ;when hour, , This represents the channel coefficient between the transmitter and the omnidirectional smart metasurface. This represents the transmission / reflection coefficient matrix of an omnidirectional intelligent metasurface. This represents the interference experienced by the reflecting / transmitting transmitter during non-orthogonal transmission, where H denotes the conjugate transpose. Indicates noise power. The dimension is The identity matrix.

8. A storage medium having a computer program stored thereon, characterized in that, When executed by a processor, the program implements the omnidirectional intelligent metasurface-assisted nonorthogonal transport method as described in any one of claims 1 to 6.

9. A terminal, characterized in that, include: Processor and memory; The memory is used to store computer programs; The processor is used to execute the computer program stored in the memory to cause the terminal to perform the omnidirectional intelligent metasurface-assisted non-orthogonal transport method according to any one of claims 1 to 6.

Images