Regulation and control method, device and equipment for reconfigurable intelligent metasurface and storage medium

Abstract

The invention provides a reconfigurable intelligent metasurface regulation and control method and device, equipment and a storage medium. The method comprises the steps that at least one to-be-adjusted area and a target adjustment intention corresponding to the at least one to-be-adjusted area are determined; and controlling at least one reconfigurable intelligent metasurface to respectively form a wave beam capable of covering the at least one to-be-adjusted area according to the target adjustment intention. According to the embodiment of the invention, the at least one to-be-adjusted area is adjusted all the time, so that the signal change of the at least one to-be-adjusted area can be realized by laying the RIS on a large scale, the deployment cost of the base station is reduced, and many future applications such as the Internet of Vehicles and automatic driving are better supported.

Description

Technical Field

[0001] The present application belongs to the technical field of mobile communications, and specifically relates to a control method, device, equipment and storage medium for a reconfigurable intelligent metasurface. Background Art

[0002] Driven by emerging data-intensive applications such as virtual reality, holographic projection, self-driving cars, and tactile Internet, global mobile data traffic will continue to grow exponentially, reaching 5ZB per month by 2030, which is difficult for the fifth-generation mobile communication technology (5G) to provide. In order to further expand the available spectrum resources, the future sixth-generation mobile communication technology (6G) will develop towards higher frequency bands (such as millimeter waves and terahertz bands).

[0003] However, electromagnetic wave communications in high-frequency bands will inevitably bring the following problems: Severe signal attenuation: In high-frequency bands (such as millimeter wave and terahertz bands), wireless signals are more susceptible to scattering by tiny particles such as raindrops, fog, and dust, as well as absorption by molecules such as water vapor and oxygen during propagation, resulting in large signal attenuation and significantly shortened transmission distance. Blind spot and dead angle problems: Due to the strong directness of high-frequency signals, especially in high-density urban building environments or indoor environments, the number of blind spots and dead angles covered by signals increases, and traditional base stations or access points are difficult to provide effective coverage. Cost and energy efficiency issues: If the existing network infrastructure wants to solve these blind spot and dead angle problems, it usually needs to deploy a large number of base stations or relay equipment, which not only increases operating costs, but also places higher requirements on the energy efficiency of the network.

[0004] Reconfigurable Intelligent Surface (RIS) integrates controllable materials (such as liquid crystal, graphene, MEMS) and can respond to external voltage, light, heat and other signals to dynamically control electromagnetic waves. Its core is to be able to focus reflected waves in a preset direction, optimize the propagation path of wireless signals, and improve communication and perception performance.

[0005] Most current RIS control methods are user tracking-based, with the core idea being to optimize RIS based on the channel state information (CSI) provided by the connected users in real time. The important prerequisite for implementing this solution is the high accuracy of channel estimation (i.e., CSI estimation) and channel prediction. However, the cascaded channels formed by RIS are difficult to estimate signals under the premise of deploying passive RIS, and the addition of a small amount of signal processing units in RIS will affect its advantages of low cost and ease of mass deployment. This problem has become a dilemma for user tracking solutions. Summary of the invention

[0006] The present application proposes a control method, device, equipment and storage medium for a reconfigurable intelligent metasurface, which can solve the technical problem that the channel state information of the current RIS control method is difficult to estimate, resulting in difficulty in control.

[0007] The first embodiment of the present application proposes a method for controlling a reconfigurable intelligent metasurface, comprising:

[0008] Determining at least one area to be adjusted and a target adjustment intention corresponding to the at least one area to be adjusted;

[0009] According to the target adjustment intention, at least one reconfigurable intelligent metasurface is controlled to form beams that can cover the at least one area to be adjusted.

[0010] The embodiment of the second aspect of the present application provides a control device for a reconfigurable intelligent metasurface, comprising:

[0011] A determination module, used to determine at least one area to be adjusted and a target adjustment intention corresponding to the at least one area to be adjusted;

[0012] The adjustment module is used to control at least one reconfigurable intelligent metasurface to form a beam that can cover the at least one area to be adjusted according to the target adjustment intention.

[0013] An embodiment of the third aspect of the present application provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the method described in the first aspect above.

[0014] An embodiment of the fourth aspect of the present application provides a computer-readable storage medium on which a computer program is stored, and the program is executed by a processor to implement the method described in the first aspect above.

[0015] The technical solution provided in the embodiments of the present application has at least the following technical effects or advantages:

[0016] The present application proposes a control method, device, equipment and storage medium of a reconfigurable intelligent super surface, including: determining at least one area to be adjusted and the target adjustment intention corresponding to the at least one area to be adjusted; controlling at least one reconfigurable intelligent super surface to form a beam that can cover the at least one area to be adjusted according to the target adjustment intention. The embodiment of the present application adjusts at least one area to be adjusted all the time, so by laying RIS on a large scale, the signal change of at least one area to be adjusted can be achieved, so as to reduce the deployment cost of base stations and better support many future applications such as Internet of Vehicles and autonomous driving.

[0017] Additional aspects and advantages of the present application will be given in part in the description below, and in part will become apparent from the description below, or will be learned through the practice of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] By reading the detailed description of the preferred embodiment below, various other advantages and benefits will become clear to those of ordinary skill in the art. The accompanying drawings are only used for the purpose of illustrating the preferred embodiment and are not considered to be limitations of the present application. In addition, the same reference symbols are used to represent the same components throughout the accompanying drawings.

[0019] In the attached picture:

[0020] Figure 1 A schematic diagram of a scene showing a method for regulating a reconfigurable intelligent metasurface provided by related technologies;

[0021] Figure 2 A flow chart of a control method for a reconfigurable intelligent metasurface provided in an embodiment of the present application is shown;

[0022] Figure 3 A schematic diagram of a scenario of a method for controlling a reconfigurable intelligent metasurface provided in an embodiment of the present application is shown;

[0023] Figure 4 A schematic diagram of a scenario of a method for controlling a reconfigurable intelligent metasurface provided in an embodiment of the present application is shown;

[0024] Figure 5 A schematic diagram of a scenario of a method for controlling a reconfigurable intelligent metasurface provided in an embodiment of the present application is shown;

[0025] Figure 6 A schematic diagram of a scenario of a method for controlling a reconfigurable intelligent metasurface provided in an embodiment of the present application is shown;

[0026] Figure 7 A schematic diagram of the structure of a control device for a reconfigurable intelligent metasurface provided in one embodiment of the present application is shown;

[0027] Figure 8 A schematic diagram of the structure of an electronic device provided by an embodiment of the present application is shown;

[0028] Fig. 9 A schematic diagram of a storage medium provided in an embodiment of the present application is shown. DETAILED DESCRIPTION

[0029] The exemplary embodiments of the present application will be described in more detail below with reference to the accompanying drawings. Although the exemplary embodiments of the present application are shown in the accompanying drawings, it should be understood that the present application can be implemented in various forms and should not be limited by the embodiments described herein. On the contrary, these embodiments are provided in order to enable a more thorough understanding of the present application and to fully convey the scope of the present application to those skilled in the art.

[0030] It should be noted that, unless otherwise specified, the technical terms or scientific terms used in this application should have the common meanings understood by technicians in the field to which this application belongs.

[0031] The control method of the reconfigurable intelligent metasurface of the present application can be executed by a computing device, and the computing device applies cloud computing and virtualization technology. The computing device can be a server, such as one server, multiple servers, a server cluster, a cloud computing platform, etc. Optionally, the computing device can also be a terminal device, such as a mobile phone, a tablet computer, a game console, a portable computer, a desktop computer, an advertising machine, an all-in-one machine, etc. The present application does not limit the device type and device quantity of the computing device.

[0032] Following the above background technology, RIS is an emerging artificial electromagnetic structure that can dynamically control the propagation characteristics of electromagnetic waves. With its low power consumption, flexibility and programmability, smart metasurfaces are regarded as one of the key technologies for future wireless communications and perception systems. It is a surface composed of a large number of tiny units (usually sub-wavelength reflection units), which achieve directional reflection, refraction or absorption of incident electromagnetic waves by programming and controlling phase, amplitude or polarization. The basic concept of smart metasurfaces is to precisely control the electromagnetic response of these units so that they have functions such as reflection beam control, enhanced channel conditions and interference suppression.

[0033] Smart metasurface units usually integrate controllable materials (such as liquid crystal, graphene, MEMS), which can respond to external voltage, light, heat and other signals, thereby dynamically controlling electromagnetic waves. The core is to be able to focus reflected waves in a preset direction, optimize the propagation path of wireless signals, and improve communication and perception performance.

[0034] Smart metasurfaces can be classified in a variety of ways, mainly including the following: By control method: Passive metasurface: The unit is passive, only the reflection phase is controlled, and the power consumption is low. Active metasurface: Contains amplifiers or oscillators, provides gain, and is suitable for enhancing the received signal.

[0035] Classification by function: Reconfigurable reflective metasurface: Directed reflection of electromagnetic waves through phase adjustment, often used in beamforming. Absorption metasurface: Used to shield or absorb electromagnetic waves in a specific direction, often used for stealth and interference suppression. Waveform control metasurface: Realizes waveform control such as frequency, phase, amplitude, etc., used in radar and sensor systems. Classification by material: Solid-state material metasurface: Such as semiconductors, liquid crystals, piezoelectric materials, etc., with fast response speed. Programmable metasurface: Real-time programming through chips or circuits, suitable for complex wireless communication needs. Classification by frequency band: Microwave / millimeter wave metasurface: Suitable for high-frequency communications such as 5G. Terahertz and light wave metasurfaces: Used for high-speed communication, sensing and imaging.

[0036] The mathematical model of the passive intelligent metasurface (the mathematical model of the reflective and transmissive types is the same) mainly involves the phase and amplitude control of electromagnetic waves. Assume that the intelligent metasurface is located on the Z = 0 plane, contains N units, the incident wave frequency is f, the wavelength is λ, and the incident wave vector is k in The regulation of RIS on the passing (reflected or transmitted) electromagnetic waves is uniquely characterized by the reflection or transmission coefficient of each electromagnetic unit. The coefficient can be specifically expressed as formula (1):

[0037]

[0038] Among them A k (k=1,2...N) is the amplitude of the coefficient, which mainly describes the energy loss of electromagnetic waves after reflection or transmission through RIS. It is related to the RIS material and is generally uncontrollable. θ k (k=1, 2...N) is the phase of the coefficient, which mainly describes the change of the phase of the electromagnetic wave by each electromagnetic unit of the RIS, and can be regulated by an external input signal, which is the main body of the regulation of the present invention. By regulating the phase of the coefficient, all electromagnetic waves passing through the RIS can be aligned, thereby focusing on the user's position and improving the user's receiving power.

[0039] If the transmitting antenna and the receiving antenna are located at positions r T =(x T ,y T , z T ) and r R =(x R ,y R , z R ). The total length of the propagation path through the electromagnetic unit k is as follows:

[0040] d T，k，R =|r T -r k |+|r k -r R | (2)

[0041] The electric field E at the receiving endR The electric field reflected by all units is superimposed as shown in formula (3):

[0042]

[0043] in is the wave number, E T is the transmitting electric field.

[0044] At present, the scenario diagram of RIS is shown in Figure 1. The core idea is to optimize and control RIS based on the channel state information (CSI) fed back by the connected users in real time. The parameters used in the adjustment process are shown in Table 1:

[0045] parameter describe U Number of users N Number of RIS reflector units M Number of AP antennas K Number of user receiving antennas G AP to RIS channel matrix (M×N) <![CDATA[H i ]]> Channel matrix from RIS to the i-th user (N×K) <![CDATA[H d ]]> Direct link channel matrix from AP to the i-th user <![CDATA[θ n ]]> Phase offset of the nth RIS unit <![CDATA[α i ]]> The weight of the i-th user <![CDATA[P Rx，i ]]> The received signal power of the i-th user <![CDATA[w i ]]> Gaussian noise of the i-th user

[0046] Table 1

[0047] For the i-th user, the total received signal can be expressed as formula (4):

[0048]

[0049] The optimization objective can be expressed as follows:

[0050]

[0051] Joint optimization plan / RIS control plan:

[0052] (1) Weighted Optimization Scheme

[0053] Initialization: Randomly set the initial phase θ of each RIS unit n .

[0054] Iterative optimization: gradually adjust θ according to the feedback channel information n , maximizing the weighted signal gain in each iteration.

[0055] Joint channel estimation: Under each user's channel condition, calculate its optimal phase compensation and update θ n value.

[0056] Convergence judgment: Stop the optimization when the total signal gain no longer increases significantly or reaches the preset threshold.

[0057] (2) User-by-user optimization solution

[0058] User-by-user control: The phase of the RIS reflector unit is optimized independently for each user to achieve the optimal signal gain for each user.

[0059] Weight adjustment: Reassign phase weights based on user priorities.

[0060] Global phase adjustment: Under the premise of ensuring the optimal total signal strength, the phase of each unit is updated one by one. The RIS electromagnetic unit phase update formula is as follows:

[0061]

[0062] Most of the existing RIS control methods are user tracking-based, and the core idea is to optimize and control RIS based on the channel state information (CSI) fed back by the connected users in real time. Among them, the important prerequisite for the implementation of this solution is the high accuracy of channel estimation (i.e., CSI estimation) and channel prediction. However, the cascaded channel composed of RIS is difficult to perform signal estimation under the premise of deploying passive RIS, and the addition of a small amount of signal processing units in RIS will affect its advantages of low cost and easy large-scale deployment. This problem has become a dilemma for user tracking solutions.

[0063] In order to solve the above problems, the present application proposes a control method, device, equipment and storage medium of a reconfigurable intelligent super surface, including: determining at least one area to be adjusted and the target adjustment intention corresponding to the at least one area to be adjusted; controlling at least one reconfigurable intelligent super surface to form a beam that can cover the at least one area to be adjusted according to the target adjustment intention. The embodiment of the present application adjusts at least one area to be adjusted all the time, so by laying RIS on a large scale, the signal change of at least one area to be adjusted can be achieved, so as to reduce the deployment cost of base stations and better support many future applications such as Internet of Vehicles and autonomous driving.

[0064] A method for controlling a reconfigurable intelligent metasurface proposed according to an embodiment of the present application is described below in conjunction with the accompanying drawings.

[0065] See also Figure 2 , the method specifically comprises the following steps:

[0066] S201: Determine at least one area to be adjusted and a target adjustment intention corresponding to the at least one area to be adjusted.

[0067] Among them, at least one area to be adjusted is a base station signal blind area or a weak signal area or an area where signal weakening is required. Correspondingly, the target adjustment intention can be a signal enhancement adjustment intention or a signal weakening adjustment intention.

[0068] It should be noted that at least one adjustment area is an adjustment area or different adjustment areas in the same scene, and the target adjustment intention of at least one adjustment area is the same, for example, all are signal enhancement adjustment intentions, or all are signal weakening adjustment intentions.

[0069] RIS can be classified as reflective RIS or projective RIS.

[0070] Based on the number of regions to be adjusted and the type of RIS, various scene graphs can be determined, such as Figure 3-6 As shown:

[0071] Figure 3 There are two RIS, a single area to be adjusted, and a transmissive RIS indoor scene map.

[0072] Figure 4 There are two RIS, two areas to be adjusted, and a transmissive RIS indoor scene map.

[0073] Figure 5 Two RIS, a single area to be adjusted, and a reflective RIS indoor scene map.

[0074] Figure 6 There are two RIS, multiple areas to be adjusted, and a reflective RIS indoor scene map.

[0075] like Figure 3 and Figure 4 As shown, the signal source of RIS is the base station, that is, the signal source is outdoors, and a transmission type RIS is generally used, such as Figure 5 and Figure 6 As shown, the signal source of RIS is a wireless access point, that is, the signal source is indoors, and a reflective RIS is generally used.

[0076] The present application uses a passive type of RIS (i.e. the signal is not amplified twice at the RIS, the RIS electromagnetic unit does not have an RF link or a doped signal processing unit, and can only perform phase adjustment on the passing (including reflected or transmitted) electromagnetic waves).

[0077] This application considers that both the user and the base station are located in the near field area, that is, within the Fresnel distance, and uses the spherical wave model for modeling and solving.

[0078] The communication frequency band targeted by this application is high-frequency electromagnetic waves (such as millimeter wave band), and the RIS is artificially deployed at a reasonable position, so that there is a good direct path between the RIS and the base station and the user, and the direct path is dominant.

[0079] Among them, the method for determining the base station signal blind area and the area with weak signal is as follows:

[0080] Mobile terminal detection method: Detect the current signal strength through the mobile terminal. If the signal strength is less than the preset value, the location information and signal strength of the mobile terminal are recorded to form the blind spot information of the signal blind spot point. This method can automatically determine the signal blind spot without the need for a dedicated person to discover and draw the blind spot, saving manpower and being more accurate and efficient.

[0081] Base station antenna weak coverage area positioning method: Use the coordinate measurement equipment, hanging height measurement equipment and image capture equipment on the drone to obtain the coordinate value, hanging height value and pitch angle value of the base station antenna. Based on these data, the coverage radius and coverage range of the base station antenna are calculated to determine the weak coverage area in the measurement area. This method can quickly and accurately obtain the weak coverage area in the measurement area, saving labor costs.

[0082] Optimize base station site selection with simulated annealing method: By establishing a mathematical programming model based on 0-1 programming, the simulated annealing method is used to solve the model to optimize the coverage problem of the weak coverage area of ​​the current network. This method can reduce the weak coverage area and make the weak coverage area as small as possible.

[0083] Signal blind spot determination method: By determining the 4G mobile terminals that access non-4G base stations, and judging whether it is a blind spot based on the total access time of the target mobile terminals within a set time period, this method can accurately detect mobile network blind spots.

[0084] S202. Control at least one reconfigurable intelligent metasurface according to the target adjustment intention to form a beam that can cover at least one area to be adjusted.

[0085] Among them, Figure 3-6 As shown, after adjusting the RIS, the light beam of each RIS will cover each area to be adjusted.

[0086] As can be seen above, the target adjustment intention is any one of the signal enhancement adjustment intention and the signal weakening adjustment intention. Therefore, the RIS can be adjusted according to the target adjustment intention so that users in at least one area to be adjusted affected by the formed beam can achieve the effect of signal enhancement or signal weakening.

[0087] The present application proposes a control method, device, equipment and storage medium of a reconfigurable intelligent metasurface, including: determining at least one area to be adjusted and the target adjustment intention corresponding to the at least one area to be adjusted; controlling at least one reconfigurable intelligent metasurface to form a beam that can cover at least one area to be adjusted according to the target adjustment intention. The embodiment of the present application adjusts at least one area to be adjusted all the time, so by laying RIS on a large scale, the signal change of at least one area to be adjusted can be achieved, so as to reduce the deployment cost of base stations and better support many future applications such as Internet of Vehicles and autonomous driving.

[0088] In some embodiments, each reconfigurable intelligent metasurface includes multiple electromagnetic units, and at least one reconfigurable intelligent metasurface is controlled according to a target adjustment intention to form a beam that can cover at least one area to be adjusted, including: adjusting the phases corresponding to each of the multiple electromagnetic units included in at least one reconfigurable intelligent metasurface, to obtain a beam that can cover at least one area to be adjusted and meet the target adjustment intention.

[0089] Generally, a reconfigurable intelligent metasurface is composed of multiple electronic units. In order to obtain a beam that can cover at least one area to be adjusted and meet the target adjustment intention, the phase of each electromagnetic unit can be adjusted.

[0090] In some embodiments, the phases corresponding to each of the multiple electromagnetic units of at least one reconfigurable intelligent metasurface are adjusted respectively to obtain a beam that can cover a first area to be adjusted and meet a target adjustment intention, including: differentiating at least one area to be adjusted to obtain a target area including at least one area to be adjusted; and adjusting the phases corresponding to each of the multiple electromagnetic units included in at least one reconfigurable intelligent metasurface respectively to obtain a beam that can cover the target area and meet the target adjustment intention.

[0091] It can be understood that at least one area to be adjusted can be considered as a collection of multiple points. Therefore, at least one area to be adjusted can be differentiated to obtain multiple discrete points. The collection of multiple discrete points, i.e., the target area, can be considered as the at least one area to be adjusted. Therefore, the phases of multiple electromagnetic units can be adjusted according to the target area.

[0092] In some embodiments, the phases corresponding to each of the multiple electromagnetic units included in at least one reconfigurable intelligent metasurface are adjusted respectively to obtain a beam that can cover the target area and meet the target adjustment intention, including: adjusting the phases corresponding to each of the multiple electromagnetic units included in at least one reconfigurable intelligent metasurface according to a preset number of adjustments to obtain a beam that can cover the target area and meet the target adjustment intention.

[0093] It is understandable that in order to obtain the optimal adjustment result, after adjusting the phases corresponding to the multiple electromagnetic units included in at least one reconfigurable intelligent metasurface once, the optimal adjustment result may not be achieved. Therefore, the phases corresponding to the multiple electromagnetic units can be adjusted again until the number of adjustments to the phases corresponding to the multiple electromagnetic units reaches a preset number of adjustments. The preset number of adjustments can be flexibly set based on actual conditions and will not be repeated here.

[0094] In some embodiments, the phases corresponding to the multiple electromagnetic units respectively included in at least one reconfigurable intelligent metasurface are adjusted according to a preset adjustment number to obtain a beam that can cover the target area and meet the target adjustment intention, including: for a first electromagnetic unit, the first electromagnetic unit is any electromagnetic unit among the multiple electromagnetic units respectively included in at least one reconfigurable intelligent metasurface; based on the regional attribute information of the target area and a preset adjustment formula, the optimal phase of the first electromagnetic unit is determined; the phases of the remaining electromagnetic units are kept unchanged and the phase of the first electromagnetic unit is adjusted to the optimal phase, and the remaining electromagnetic units are other electromagnetic units of the multiple electromagnetic units of at least one reconfigurable intelligent metasurface except the first electromagnetic unit.

[0095] The adjustment method for the phase of any electromagnetic unit can be implemented as follows:

[0096] First, an electromagnetic unit is selected, and the optimal phase of the first electromagnetic unit is determined based on the regional attribute information of the target area and a preset adjustment formula; the phases of the remaining electromagnetic units are kept unchanged and the phase of the first electromagnetic unit is adjusted to the optimal phase.

[0097] Furthermore, the phase adjustment process of the next electromagnetic unit is performed until the phases of multiple electromagnetic units of at least one reconfigurable intelligent metasurface are adjusted.

[0098] Furthermore, the phases of multiple electromagnetic units of at least one reconfigurable intelligent metasurface are readjusted according to a preset adjustment number.

[0099] In some embodiments, the optimal phase of the first electromagnetic unit is determined based on regional attribute information of the target area and a preset adjustment formula, including: determining the preset adjustment formula based on the target adjustment intention and the target type of at least one reconfigurable intelligent metasurface; determining the optimal phase of the first electromagnetic unit based on the regional attribute information of the target area and the preset adjustment formula.

[0100] The target adjustment intention is any one of a signal enhancement adjustment intention and a signal reduction adjustment intention, and the target type is any one of a reflection type and a projection type.

[0101] Correspondingly, the following control scenarios can be formed:

[0102] For the reflective RIS, the corresponding target adjustment intention is the signal enhancement adjustment intention or the signal reduction adjustment intention, and for the projection RIS, the corresponding target adjustment intention is the signal enhancement adjustment intention or the signal reduction adjustment intention.

[0103] In the case of projection-type RIS, the following intermediate parameters need to be calculated, as shown in formula (7):

[0104]

[0105] If the adjustment intention is signal enhancement adjustment intention, the phase of each electromagnetic unit can be obtained by formula (8):

[0106]

[0107] If the adjustment intention is to weaken the signal, the phase of each electromagnetic unit can be obtained by formula (9):

[0108]

[0109] Among them, the intermediate parameters A (a, b, c) and the intermediate parameters As shown in formula (10):

[0110]

[0111] In the case of reflective RIS, the following intermediate parameters need to be calculated, as shown in formula (11):

[0112]

[0113] If the adjustment intention is to enhance the signal, the phase of each electromagnetic unit can be obtained by formula (12):

[0114]

[0115] If the adjustment intention is to weaken the signal, the phase of each electromagnetic unit can be obtained by formula (13):

[0116]

[0117] Among them, the intermediate parameters A(a, b, c), K(c) and S are shown in formula (14):

[0118] In order to facilitate the reference of the parameters corresponding to each formula, the parameters of the above formulas (7) to (14) are shown in Table 2:

[0119]

[0120]

[0121] Table 2

[0122] Theoretically, this application can use any geometric configuration as the target area to improve the average signal coverage power of the original area. It has high flexibility and can cope with the simultaneous enhancement of multiple target areas to achieve the theoretical optimal average signal value of all target areas.

[0123] Enables joint optimization of multiple RIS to achieve signal power enhancement in the target area.

[0124] In addition to enhancing the signal in the target area, it can also weaken the signal in the target area. Through its own phase control, the electromagnetic waves passing through the RIS can be phase-offset with each other, almost eliminating the gain brought by the RIS. If RIS is laid on a large scale, signal shielding can be achieved in a designated area.

[0125] The present application also provides a control device for a reconfigurable intelligent supersurface, which is used to perform the control method for a reconfigurable intelligent supersurface provided in any of the above embodiments. Figure 7 As shown, the device includes a determination module 701 and an adjustment module 702 .

[0126] A determination module 701 is used to determine at least one area to be adjusted and a target adjustment intention corresponding to the at least one area to be adjusted;

[0127] The adjustment module 702 is used to control at least one reconfigurable intelligent metasurface to form a beam that can cover the at least one area to be adjusted according to the target adjustment intention.

[0128] The present application proposes a control method, device, equipment and storage medium of a reconfigurable intelligent super surface, including: determining at least one area to be adjusted and the target adjustment intention corresponding to the at least one area to be adjusted; controlling at least one reconfigurable intelligent super surface to form a beam that can cover the at least one area to be adjusted according to the target adjustment intention. The embodiment of the present application adjusts at least one area to be adjusted all the time, so by laying RIS on a large scale, the signal change of at least one area to be adjusted can be achieved, so as to reduce the deployment cost of base stations and better support many future applications such as Internet of Vehicles and autonomous driving.

[0129] In some embodiments, each reconfigurable smart metasurface includes a plurality of electromagnetic units, and the adjustment module 702 is specifically configured to:

[0130] The phases corresponding to the multiple electromagnetic units respectively included in at least one reconfigurable intelligent metasurface are adjusted respectively to obtain a beam that can cover the at least one area to be adjusted and meet the target adjustment intention.

[0131] In some embodiments, the adjustment module 702 is further specifically configured to:

[0132] Differentiating the at least one region to be adjusted to obtain a target region including the at least one region to be adjusted;

[0133] The phases corresponding to the multiple electromagnetic units respectively included in at least one reconfigurable intelligent metasurface are adjusted respectively to obtain a beam that can cover the target area and meet the target adjustment intention.

[0134] In some embodiments, the adjustment module 702 is further specifically configured to:

[0135] The phases corresponding to the multiple electromagnetic units respectively included in at least one reconfigurable intelligent metasurface are adjusted according to a preset adjustment number to obtain a beam that can cover the target area and meet the target adjustment intention.

[0136] In some embodiments, the adjustment module 702 is further specifically configured to:

[0137] With respect to the first electromagnetic unit, the first electromagnetic unit is any electromagnetic unit among the plurality of electromagnetic units respectively included in the at least one reconfigurable smart metasurface;

[0138] Determining the optimal phase of the first electromagnetic unit based on the regional attribute information of the target area and a preset adjustment formula;

[0139] The phases of the remaining electromagnetic units are kept unchanged and the phase of the first electromagnetic unit is adjusted to the optimal phase. The remaining electromagnetic units are other electromagnetic units of the plurality of electromagnetic units of the at least one reconfigurable smart metasurface except the first electromagnetic unit.

[0140] In some embodiments, the adjustment module 702 is further specifically configured to:

[0141] Determining the preset adjustment formula based on the target adjustment intention and the target type of the at least one reconfigurable smart metasurface;

[0142] The optimal phase of the first electromagnetic unit is determined based on the area attribute information of the target area and a preset adjustment formula.

[0143] In some embodiments, the target adjustment intention is any one of a signal enhancement adjustment intention and a signal reduction adjustment intention, and the target type is any one of a reflection type and a projection type.

[0144] The present application also provides an electronic device to perform the above-mentioned control method of the reconfigurable intelligent metasurface. Figure 8 It shows a schematic diagram of an electronic device provided by some embodiments of the present application. Figure 8As shown, the electronic device 7 includes: a processor 700, a memory 701, a bus 702 and a communication interface 703, and the processor 700, the communication interface 703 and the memory 701 are connected through the bus 702; the memory 701 stores a computer program that can be run on the processor 700, and when the processor 700 runs the computer program, it executes the control method of the reconfigurable intelligent metasurface provided in any of the aforementioned embodiments of the present application.

[0145] The memory 701 may include a high-speed random access memory (RAM), and may also include a non-volatile memory, such as at least one disk storage. The communication connection between the device network element and at least one other network element is realized through at least one communication interface 703 (which may be wired or wireless), and the Internet, wide area network, local area network, metropolitan area network, etc. may be used.

[0146] The bus 702 may be an ISA bus, a PCI bus, or an EISA bus, etc. The bus may be divided into an address bus, a data bus, a control bus, etc. Among them, the memory 701 is used to store programs, and the processor 700 executes the program after receiving the execution instruction. The control method of the reconfigurable intelligent metasurface disclosed in any implementation of the above-mentioned embodiment of the present application can be applied to the processor 700, or implemented by the processor 700.

[0147] The processor 700 may be an integrated circuit chip with signal processing capabilities. In the implementation process, each step of the above method can be completed by the hardware integrated logic circuit or software instructions in the processor 700. The above processor 700 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 readily available programmable gate array (FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components. The methods, steps and logic block diagrams disclosed in the embodiments of the present application can be implemented or executed. The general-purpose processor can be a microprocessor or the processor can also be any conventional processor, etc. The steps of the method disclosed in the embodiments of the present application can be directly embodied as a hardware decoding processor to be executed, or the hardware and software modules in the decoding processor can be executed. The software module can be located in a mature storage medium in the field such as a random access memory, a flash memory, a read-only memory, a programmable read-only memory or an electrically erasable programmable memory, a register, etc. The storage medium is located in the memory 701, and the processor 700 reads the information in the memory 701 and completes the steps of the above method in combination with its hardware.

[0148] The electronic device provided in the embodiment of the present application and the control method of the reconfigurable intelligent metasurface provided in the embodiment of the present application are based on the same inventive concept and have the same beneficial effects as the methods adopted, operated or implemented therein.

[0149] The present application also provides a computer-readable storage medium corresponding to the control method of the reconfigurable intelligent metasurface provided in the above embodiment. Fig. 9 , the computer-readable storage medium shown is a CD 30, on which a computer program (i.e., a program product) is stored. When the computer program is run by a processor, it will execute the control method of the reconfigurable intelligent metasurface provided by any of the aforementioned embodiments.

[0150] It should be noted that examples of computer-readable storage media may also include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other optical or magnetic storage media, which are not listed here one by one.

[0151] The computer-readable storage medium provided in the above-mentioned embodiments of the present application and the method for controlling the reconfigurable intelligent metasurface provided in the embodiments of the present application are based on the same inventive concept and have the same beneficial effects as the method adopted, run or implemented by the application program stored therein.

[0152] It should be noted that:

[0153] In the description provided herein, a large number of specific details are described. However, it is understood that the embodiments of the present application can be practiced without these specific details. In some instances, well-known structures and technologies are not shown in detail so as not to obscure the understanding of this description.

[0154] In addition, those skilled in the art will appreciate that, although some embodiments herein include certain features included in other embodiments but not other features, the combination of features of different embodiments is meant to be within the scope of the present application and form different embodiments. For example, in the claims below, any one of the claimed embodiments may be used in any combination.

[0155] The above are only preferred specific implementations of the present application, but the protection scope of the present application is not limited thereto. Any changes or substitutions that can be easily thought of by a person skilled in the art within the technical scope disclosed in the present application should be included in the protection scope of the present application. Therefore, the protection scope of the present application shall be based on the protection scope of the claims.

Claims

1. A method for controlling a reconfigurable intelligent metasurface, characterized in that: include: Determining at least one area to be adjusted and a target adjustment intention corresponding to the at least one area to be adjusted; According to the target adjustment intention, at least one reconfigurable intelligent metasurface is controlled to form beams that can cover the at least one area to be adjusted.

2. The method according to claim 1, characterized in that Each reconfigurable intelligent metasurface includes a plurality of electromagnetic units, and the controlling of at least one reconfigurable intelligent metasurface according to the target adjustment intention to form a beam that can cover the at least one area to be adjusted includes: The phases corresponding to the multiple electromagnetic units respectively included in at least one reconfigurable intelligent metasurface are adjusted respectively to obtain a beam that can cover the at least one area to be adjusted and meet the target adjustment intention.

3. The method according to claim 2, characterized in that The method of respectively adjusting the phases corresponding to the plurality of electromagnetic units of at least one reconfigurable intelligent metasurface to obtain a beam that can cover the first area to be adjusted and meet the target adjustment intention includes: Differentiating the at least one region to be adjusted to obtain a target region including the at least one region to be adjusted; The phases corresponding to the multiple electromagnetic units respectively included in at least one reconfigurable intelligent metasurface are adjusted respectively to obtain a beam that can cover the target area and meet the target adjustment intention.

4. The method according to claim 3, characterized in that The method of respectively adjusting the phases corresponding to the plurality of electromagnetic units respectively included in at least one reconfigurable intelligent metasurface to obtain a beam that can cover the target area and meet the target adjustment intention includes: The phases corresponding to the multiple electromagnetic units respectively included in at least one reconfigurable intelligent metasurface are adjusted according to a preset adjustment number to obtain a beam that can cover the target area and meet the target adjustment intention.

5. The method according to claim 4, characterized in that The method of adjusting the phases of the plurality of electromagnetic units respectively included in at least one reconfigurable intelligent metasurface according to a preset adjustment number to obtain a beam that can cover the target area and meet the target adjustment intention includes: With respect to the first electromagnetic unit, the first electromagnetic unit is any electromagnetic unit among the plurality of electromagnetic units respectively included in the at least one reconfigurable smart metasurface; Determining the optimal phase of the first electromagnetic unit based on the regional attribute information of the target area and a preset adjustment formula; The phases of the remaining electromagnetic units are kept unchanged and the phase of the first electromagnetic unit is adjusted to the optimal phase. The remaining electromagnetic units are other electromagnetic units of the plurality of electromagnetic units of the at least one reconfigurable smart metasurface except the first electromagnetic unit.

6. The method according to claim 5, characterized in that The determining the optimal phase of the first electromagnetic unit based on the area attribute information of the target area and a preset adjustment formula includes: Determining the preset adjustment formula based on the target adjustment intention and the target type of the at least one reconfigurable smart metasurface; The optimal phase of the first electromagnetic unit is determined based on the area attribute information of the target area and a preset adjustment formula.

7. The method according to claim 5, characterized in that The target adjustment intention is any one of a signal enhancement adjustment intention and a signal reduction adjustment intention, and the target type is any one of a reflection type and a projection type.

8. A control device for a reconfigurable intelligent metasurface, characterized in that: include: A determination module, used to determine at least one area to be adjusted and a target adjustment intention corresponding to the at least one area to be adjusted; The adjustment module is used to control at least one reconfigurable intelligent metasurface to form a beam that can cover the at least one area to be adjusted according to the target adjustment intention.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: The processor runs the computer program to implement the method according to any one of claims 1 to 7.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: The program is executed by a processor to implement the method according to any one of claims 1 to 7.

Images