An intelligent metasurface coding design method in a live network multi-beam incidence scene

Abstract

The application discloses a kind of intelligent metasurface coding design methods under the scene of present network multi-beam incidence, belong to wireless communication field, wherein, method includes: according to the azimuth information of target terminal, a group of coding is configured to intelligent metasurface, target terminal records each coding corresponding reception power, and accordingly obtain from base station to intelligent metasurface this section channel, the signal beam quantity, direction and intensity incident to intelligent metasurface;According to the incident beam quantity and direction, determine the first reflection phase of the electromagnetic unit of each incident beam corresponding intelligent metasurface is generated;According to the incident beam intensity, determine the power weight coefficient corresponding to each incident beam;According to the first reflection phase and the power weight coefficient, determine the second reflection phase of the electromagnetic unit of intelligent metasurface, and generate coding.The application can flexibly cope with the complex multi-beam incidence scene in present network environment, and guarantees that the communication quality of target terminal is efficiently improved using intelligent metasurface.

Description

Technical Field

[0001] This invention belongs to the field of wireless communication technology, and in particular relates to an intelligent metasurface coding design method for multi-beam incident scenarios in existing networks. Background Technology

[0002] A reconfigurable intelligent surface (RIMS) is a highly controllable artificial two-dimensional electromagnetic surface. By designing the reflection coefficients of the surface's electromagnetic units, the direction and amplitude of electromagnetic wave reflection can be controlled. It offers advantages such as low cost, low power consumption, easy deployment, and enabling intelligent wireless environments. Through the rational design of the reflection phase of each electromagnetic unit on the intelligent surface, it can effectively improve the performance of wireless communication systems.

[0003] Existing technologies, when designing the reflection phase of intelligent metasurface electromagnetic units in multi-beam incident scenarios, cannot efficiently estimate the incident channel due to the quasi-passive nature of intelligent metasurfaces. Therefore, blind beamforming design schemes utilizing conditional sample statistical characteristics are employed, but these require collecting thousands of samples, resulting in excessive time costs and susceptibility to interference from time-varying transmission channels. Consequently, existing intelligent metasurface electromagnetic unit reflection phase design schemes are unsuitable for the communication requirements of current multi-beam incident scenarios and cannot guarantee the communication quality of the target terminal. Summary of the Invention

[0004] The purpose of this invention is to provide a smart metasurface coding design method in a multi-beam incident scenario in a current network environment. This method solves the problem of designing the reflection phase of the electromagnetic unit of the smart metasurface in order to improve the received signal quality of the target terminal in a scenario where multiple beams are incident on the smart metasurface in a current network environment.

[0005] To solve the above-mentioned technical problems, the specific technical solution of the present invention is as follows: A method for designing intelligent metasurface coding in a live multi-beam incident scenario includes the following steps: Based on the azimuth information of the target terminal, a set of codes is configured for the smart metasurface. The target terminal records the received power corresponding to each code and obtains the number, direction and intensity information of the signal beams incident on the smart metasurface in the channel from the base station to the smart metasurface. Based on the number and direction of the incident beams, determine the first reflection phase of the intelligent metasurface electromagnetic unit corresponding to each incident beam; Based on the incident beam intensity, determine the power weighting coefficient corresponding to each incident beam; Based on the first reflection phase and the power weighting coefficient, the second reflection phase of the intelligent metasurface electromagnetic unit is determined, and the intelligent metasurface code is generated.

[0006] Furthermore, based on the target terminal's azimuth information, a set of codes is configured for the smart metasurface. The target terminal records the received power corresponding to each code and thereby obtains the number, direction, and intensity information of the signal beams incident on the smart metasurface in the channel from the base station to the smart metasurface, including: Based on the orientation information of the target terminal, the signal reflection direction of the smart metasurface is determined. Assuming k possible incident signal beam directions, for each assumed incident beam direction, a reflection phase design for the smart metasurface electromagnetic unit that reflects the signal to the target terminal is generated, along with the corresponding encoding.

[0007] The generated codes are sequentially assigned to the smart metasurface, and the target terminal records the received power under each code. Compare the assumed incident beam directions and corresponding received power. Size, based on the above information, generate the received power. The distribution of signals in various directions provides information on the number, direction, and intensity of signal beams incident on the smart metasurface.

[0008] Furthermore, based on the first reflection phase and the power weighting coefficient, the second reflection phase of the intelligent metasurface electromagnetic unit is determined, and an encoding is generated, including: Based on the power weighting coefficient, the first reflection phase corresponding to each incident beam is weighted and superimposed to obtain the second reflection phase of the intelligent metasurface electromagnetic unit.

[0009] Furthermore, based on the power weighting coefficient, the first reflection phase corresponding to each incident beam is weighted and superimposed to obtain the second reflection phase of the intelligent metasurface electromagnetic unit, including: The second reflection phase of the intelligent metasurface electromagnetic unit is determined by weighted superposition of the first reflection phases corresponding to each incident beam according to the following formula: in This represents the second reflection phase of the intelligent metasurface electromagnetic unit. This represents the power weighting coefficient corresponding to the i-th incident beam; Let represent the first reflection phase of the intelligent metasurface electromagnetic unit corresponding to the _n_th incident beam, _{n} represent the row index of the intelligent metasurface electromagnetic unit, and _{n} represent the column index of the intelligent metasurface electromagnetic unit.

[0010] The present invention provides a smart metasurface coding design method for existing multi-beam incident scenarios, which has the following advantages: This invention configures a set of codes for a smart metasurface and records the received power of the target terminal corresponding to each code to obtain information such as the number, direction, and intensity of the incident beams. Based on the intensity differences of the incident beams, a power weighting coefficient is determined, and the smart metasurface code is calculated. This invention takes into account the multi-beam incident scenarios in the current network and the differences in the direction and intensity of different incident beams. Compared with existing technical solutions, it can avoid the overhead of incident channel estimation and can flexibly cope with complex multi-beam incident scenarios in the current network environment, ensuring that the communication quality of target terminals in the current network is efficiently improved by using smart metasurfaces. Attached Figure Description

[0011] Figure 1 This is a flowchart of an intelligent metasurface coding design method for a real-world multi-beam incident scenario, provided by an embodiment of the present invention. Figure 2 This is a schematic diagram of a smart metasurface coding design method for a real-world multi-beam incident scenario according to an embodiment of the present invention. Figure 3 is a schematic diagram of the parameters of a wireless communication system based on a smart metasurface according to an embodiment of the present invention; Figure 4 This is a simulation diagram of the incident beam estimation of the intelligent metasurface coding design method provided in an embodiment of the present invention; Figure 5 This is a schematic diagram of the simulation results of the intelligent metasurface coding design method provided in an embodiment of the present invention. Detailed Implementation

[0012] To better understand the purpose, structure, and function of this invention, the following description, in conjunction with the accompanying drawings, provides a more detailed account of an intelligent metasurface coding design method for existing multi-beam incident scenarios.

[0013] like Figure 1 As shown in the figure, an embodiment of the present invention provides a smart metasurface coding design method for existing network multi-beam incident scenarios, comprising: Step 101: Based on the azimuth information of the target terminal, configure a set of codes for the smart metasurface. The target terminal records the received power corresponding to each code and obtains the number, direction and intensity information of the signal beams incident on the smart metasurface in the channel from the base station to the smart metasurface. Step 102: Based on the number and direction of the incident beams, determine the first reflection phase of the intelligent metasurface electromagnetic unit corresponding to each incident beam. Step 103: Determine the power weighting coefficient corresponding to each incident beam based on the incident beam intensity; Step 104: Determine the second reflection phase of the intelligent metasurface electromagnetic unit based on the first reflection phase and the power weighting coefficient.

[0014] In this embodiment, the target terminal is a base station communication target terminal connected to the existing network. A schematic diagram of the intelligent metasurface coding design method in a multi-beam incident scenario on the existing network is shown below. Figure 2 As shown, the direct link between the base station and the target terminal is blocked. An auxiliary link is established through a smart metasurface to enable communication between the base station and the target terminal. Furthermore, due to signal reflection from a scattering element, the transmission link between the existing base station and the smart metasurface results in signals emitted by the base station arriving at the smart metasurface via different paths, meaning multiple beams are incident on the smart metasurface. After intelligent reflection by the smart metasurface, the base station signal is combined into a single reflected beam pointing towards the target terminal.

[0015] Optionally, based on the target terminal's azimuth information, a set of codes is configured for the smart metasurface. The target terminal records the received power corresponding to each code and obtains the number, direction, and intensity information of the signal beams incident on the smart metasurface in the channel from the base station to the smart metasurface, including: Based on the orientation information of the target terminal, the signal reflection direction of the smart metasurface is determined. Assuming k possible incident signal beam directions, a reflection phase design for the smart metasurface electromagnetic unit is generated for each assumed incident beam direction to reflect the signal to the target terminal.

[0016] Let the incident azimuth angle of the i-th assumed incident beam be... The incident elevation angle is The intelligent metasurface requires a reflection azimuth angle of 10° to reflect the incident beam to the target terminal. The reflection pitch angle is The corresponding intelligent metasurface electromagnetic unit reflection phase design It can be expressed by the following formula: Where n and m are the row index and column index of the electromagnetic unit, The wavelength of the signal reflected by the intelligent metasurface. , These represent the length and width of the electromagnetic unit, respectively.

[0017] The generated codes are sequentially assigned to the smart metasurface, and the target terminal records the received power under each code. Compare the assumed incident directions and their corresponding... Based on the above information, the distribution of received power in each direction is generated, thereby determining the number, direction, and intensity of the signal beams incident on the smart metasurface.

[0018] Optionally, based on the number and direction of the incident beams, the first reflection phase of the intelligent metasurface electromagnetic unit corresponding to each incident beam is determined, including: For the j-th beam incident on the smart metasurface, let its incident azimuth angle be... The incident elevation angle is The intelligent metasurface requires a reflection azimuth angle of 10° to reflect the incident beam to the target terminal. The reflection pitch angle is Then the first reflection phase of the intelligent metasurface electromagnetic unit corresponding to the incident beam It can be represented as: Where n and m are the row index and column index of the electromagnetic unit, The wavelength of the signal reflected by the intelligent metasurface. , These represent the length and width of the electromagnetic unit, respectively.

[0019] Optionally, the second reflection phase of the intelligent metasurface electromagnetic unit is determined based on the first reflection phase and the power weighting coefficient, including: Based on the power weighting coefficient, the first reflection phase corresponding to each incident beam is weighted and superimposed to obtain the second reflection phase of the intelligent metasurface electromagnetic unit.

[0020] Optionally, based on the power weighting coefficient, the first reflection phase corresponding to each incident beam is weighted and superimposed to obtain the second reflection phase of the intelligent metasurface electromagnetic unit, including: The second reflection phase of the intelligent metasurface electromagnetic unit is determined by weighted superposition of the first reflection phases corresponding to each incident beam according to the following formula: in This represents the second reflection phase of the intelligent metasurface electromagnetic unit. This represents the power weighting coefficient corresponding to the i-th incident beam; represents the first reflection phase of the intelligent metasurface electromagnetic unit that generates the nth beam, 𝑛 represents the row index of the intelligent metasurface electromagnetic unit, and 𝑚 represents the column index of the intelligent metasurface electromagnetic unit.

[0021] In this embodiment, for each beam incident on the smart metasurface, the first reflection phase of the corresponding electromagnetic unit is determined. Based on the weighting coefficients of each beam, the first reflection phases corresponding to each incident beam are weighted and superimposed to efficiently obtain the solution of the design formula for the reflection phase of the electromagnetic unit of the smart metasurface under the multi-beam incident scenario.

[0022] The implementation process of the intelligent metasurface coding design method in a real-world multi-beam incidence scenario is illustrated below with an example. It should be noted that the wireless channel model used in the example is intended only to facilitate understanding of the invention and is not intended to limit it in any way.

[0023] Parameters of the intelligent metasurface-assisted wireless communication system are as follows Figure 3 As shown: The intelligent metasurface is arranged on the xoy plane of a three-dimensional Cartesian coordinate system, with its geometric center coinciding with the origin of the coordinate system. The intelligent metasurface is composed of... lines and Composed of electromagnetic units arranged in a regular pattern. and All are even numbers. The length of each electromagnetic unit along the x-axis is... The length along the y-axis is Its size is typically on the subwavelength scale. The normalized power radiation pattern of the electromagnetic unit is as follows: This characterizes the relationship between the power intensity of the induced and reflected signals of a single electromagnetic unit and the incident and reflection angles. This represents the scattering gain of the electromagnetic unit. (Using...) Indicates that it is located at Line number The electromagnetic units of the column, and , .

[0024] Coordinates are The distance from the center of the intelligent metasurface is The corresponding programmable reflection coefficient is .also, This indicates the distance from the transmitter to the center of the smart metasurface; This indicates the distance from the receiver to the center of the smart metasurface; and These represent the elevation and azimuth angles from the center of the smart metasurface to the transmitter, respectively. and These represent the elevation and azimuth angles from the center of the smart metasurface to the receiver, respectively.

[0025] For electromagnetic units , Indicates transmitter to The distance; Indicates receiver to distance; and They represent Elevation and azimuth angles to the transmitter; and They represent The elevation and azimuth angles to the receiver. Located at The transmitter transmits power to the smart metasurface at a power of And the wavelength is The signal. The normalized power radiation pattern of the transmitting antenna is as follows. The gain is The signal is reflected by the smart metasurface and located in The receiver receives the signal, and the normalized power radiation pattern of the receiving antenna is as follows: The gain is .use These represent the transmitting antenna to... Elevation and azimuth angles, receiving antenna to The elevation angle and azimuth angle.

[0026] Specifically, the intelligent metasurface coding design method for multi-beam incident scenarios in the current network includes: Step 1: The target terminal reports its location. =0°, =30° direction. Assume the incident beam's incident direction range is... , ,Pick and combination , As the incident direction of the i-th incident beam. Because There are 9 possible values. There are 8 possible values, therefore, it is assumed that the total number of incident beams is 72, i.e., i = 1, 2, ..., 72. Based on the assumed incident beam direction and target terminal reflection direction, the phase design of the generated electromagnetic unit is as follows: After obtaining the phase design, the corresponding codes are quantized and sequentially assigned to the smart metasurface. The target terminal received power corresponding to each code is also recorded.

[0027] The reflection coefficients of all electromagnetic units on the intelligent metasurface have the same amplitude component. By intelligently reflecting signals to the target region using a smart metasurface, and employing a radio wave propagation model for a smart metasurface-assisted wireless communication system, the expression for the received signal power of the communication target is obtained as follows: in, The joint normalized power radiation pattern of the transmitting antenna, metasurface electromagnetic unit, and receiving antenna is expressed as follows: In this embodiment, the parameters of the smart metasurface and the base station transmitting and target terminal receiving antennas are as follows: The smart metasurface has A total of 512 units, unit size The operating frequency is Electromagnetic unit amplitude component , .

[0028] Finally, the target terminal received power under the coding of 72 assumed incident beams was obtained, such as Figure 4 As shown in the figure. It is clear from the figure that the received power has two maximum points: when the incident beam direction is... ,as well as At this point, the target terminal's received power reaches its maximum value, indicating that there are indeed actual signals incident on the smart metasurface in these two incident directions, significantly increasing the target terminal's received power. Therefore, the obtained incident beam information is: Incident beam 1: Incident direction The received power is -80 dBm; Incident beam 2: Incident direction The received power is -86 dBm.

[0029] Step 2: After knowing the incident directions and intensities of incident beams 1 and 2, generate the first reflection phases corresponding to the two incident beams. , .

[0030] Step 3: Based on the received power corresponding to the two incident beams, determine the power weighting coefficients for the two beams. .

[0031] Step 4: Using a weighted superposition method, obtain the phase design of the intelligent metasurface electromagnetic unit in the current multi-beam incident scenario, i.e., the second reflection phase, according to the following formula. : The second reflection phase After quantization into encoding, the signal is configured onto the smart metasurface, and the resulting received signal power distribution is as follows: Figure 5 As shown in the figure, after configuring the encoding corresponding to the second reflection phase, the smart metasurface successfully reflected the energy of the two beams to the reflection direction of the target terminal through smart reflection. =0°, =30° direction. It is demonstrated that the proposed intelligent metasurface coding design method successfully analyzes the incident signal information incident on the intelligent metasurface and designs the corresponding coding to concentrate the energy reflected towards the target direction.

[0032] It is understood that the present invention has been described through some embodiments, and those skilled in the art will recognize that various changes or equivalent substitutions can be made to these features and embodiments without departing from the spirit and scope of the invention. Furthermore, under the teachings of the present invention, these features and embodiments can be modified to adapt to specific situations and materials without departing from the spirit and scope of the invention. Therefore, the present invention is not limited to the specific embodiments disclosed herein, and all embodiments falling within the scope of the claims of this application are within the protection scope of the present invention.

Claims

1. A method for intelligent metasurface coding design in existing multi-beam incident scenarios, characterized in that, Includes the following steps: Step 101: Based on the azimuth information of the target terminal, configure a set of codes for the smart metasurface. The target terminal records the received power corresponding to each code and obtains the number, direction and intensity information of the signal incident beams on the smart metasurface in the channel from the base station to the smart metasurface. Step 102: Based on the number and direction of the incident beams, determine the first reflection phase of the intelligent metasurface electromagnetic unit corresponding to each incident beam. Step 103: Determine the power weighting coefficient corresponding to each incident beam based on the incident beam intensity; Step 104: Determine the second reflection phase of the intelligent metasurface electromagnetic unit based on the first reflection phase and the power weighting coefficient, and generate the intelligent metasurface code; Step 101 specifically includes the following steps: Based on the orientation information of the target terminal, determine the signal reflection direction of the smart metasurface; set k signal beam incident directions, and for each incident beam direction, generate a smart metasurface electromagnetic unit reflection phase design that reflects the signal to the target terminal, and generate the corresponding code; The generated codes are sequentially assigned to the smart metasurface, and the target terminal records the received power under each code. Compare the incident beam direction and corresponding received power for each setting. Size, based on the above information, generate the received power. The distribution in each direction provides information on the number, direction, and intensity of signal beams incident on the smart metasurface. Step 104 specifically includes the following steps: Based on the power weighting coefficient, the first reflection phase corresponding to each incident beam is weighted and superimposed to obtain the second reflection phase of the intelligent metasurface electromagnetic unit.

2. The intelligent metasurface coding design method for existing multi-beam incident scenarios according to claim 1, characterized in that, The second reflection phase of the intelligent metasurface electromagnetic unit is determined by weighted superposition of the first reflection phases corresponding to each incident beam according to the following formula: in This represents the second reflection phase of the intelligent metasurface electromagnetic unit. This represents the power weighting coefficient corresponding to the i-th incident beam; represents the first reflection phase of the intelligent metasurface electromagnetic unit corresponding to the nth incident beam, 𝑛 represents the row index of the intelligent metasurface electromagnetic unit, and 𝑚 represents the column index of the intelligent metasurface electromagnetic unit.

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