A RIS-enabled dynamic vehicle network wireless information transmission channel modeling method

Abstract

The invention discloses a modeling method for a wireless information transmission channel of a RIS-enabled dynamic vehicle network, comprising: constructing a rectangular coordinate system physical transmission model for a wireless information transmission scenario of the RIS-enabled dynamic vehicle network; calculating time-varying variables between a transmitting end vehicle, a receiving end vehicle and a RIS array based on the rectangular coordinate system physical transmission model, and constructing a first complex impulse response function of a signal transmission path; calculating time-varying variables between a transmitting end vehicle, a receiving end vehicle and an obstacle, and constructing a second complex impulse response function of the signal transmission path; and constructing a correlation function of the signal transmission path at different dynamic times based on the complex impulse response function. The invention can obtain the transmission characteristics of the wireless information transmission scenario of the RIS-enabled dynamic vehicle network, and has important theoretical significance and application value for evaluating the performance of the information transmission system of the RIS-enabled dynamic vehicle network.

Description

Technical Field

[0001] The invention relates to a RIS-enabled dynamic vehicle networking wireless information transmission channel modeling method, belonging to the technical field of wireless communications. Background Art

[0002] In recent years, with the widespread application of the fifth generation (5G) mobile information transmission technology, users have put forward higher requirements for wireless information transmission technology. RIS technology can effectively improve the performance of information transmission systems by effectively regulating signal amplitude / phase, so it is hailed as a key technology in the sixth generation of mobile information transmission. Therefore, conducting physical layer theoretical research on RIS-enabled wireless information transmission systems has important theoretical significance and application value for further promoting the design, performance analysis, and algorithm optimization of RIS-enabled wireless information transmission systems.

[0003] Currently, many research teams have conducted research on the characteristics of RIS-enabled wireless information transmission. However, the existing technologies for analyzing the characteristics of RIS-enabled multi-scenario wireless information transmission mostly assume that the channel is stable, which cannot effectively describe the actual dynamic wireless information transmission environment. Therefore, when obtaining the transmission characteristics of RIS-enabled dynamic wireless information transmission scenarios, the existing technologies are no longer applicable. Summary of the invention

[0004] The purpose of the present invention is to overcome the deficiencies in the prior art and provide a RIS-enabled dynamic vehicle network wireless information transmission channel modeling method to solve the technical problem that the prior art is not suitable for obtaining the transmission characteristics of RIS-enabled dynamic wireless information transmission scenarios.

[0005] To achieve the above object, the present invention is implemented by adopting the following technical solutions:

[0006] In a first aspect, the present invention provides a RIS-enabled dynamic vehicle network wireless information transmission channel modeling method, comprising:

[0007] For the RIS-enabled dynamic vehicle networking wireless information transmission scenario, a rectangular coordinate system physical transmission model based on geometric characteristics is constructed;

[0008] Based on the rectangular coordinate system physical transmission model, when the signal sent by the transmitting vehicle reaches the receiving vehicle after being regulated by the RIS array, the time-varying transmission distance and time-varying angle parameters between the transmitting vehicle and the receiving vehicle and the RIS array are calculated;

[0009] Constructing a first complex impulse response function of a signal transmission path based on time-varying transmission distances and time-varying angle parameters between the transmitting end vehicle and the receiving end vehicle and the RIS array;

[0010] Based on the rectangular coordinate system physical transmission model, when the signal sent by the transmitting vehicle is reflected by the obstacle and reaches the receiving vehicle, the time-varying transmission distance and time-varying angle parameters between the transmitting vehicle and the receiving vehicle and the obstacle are calculated;

[0011] Based on the time-varying transmission distance and time-varying angle parameters between the transmitting end vehicle and the receiving end vehicle and the obstacle, construct a second complex impulse response function of the signal transmission path;

[0012] Based on the first complex impulse response function and the second complex impulse response function of the signal transmission path, correlation functions of the signal transmission path at different dynamic times are constructed.

[0013] Optionally, the step of constructing a rectangular coordinate system physical transmission model based on geometric characteristics includes:

[0014] The line connecting the midpoint of the antenna array of the transmitting vehicle and the midpoint of the antenna array of the receiving vehicle is defined as the x-axis; the line passing through the midpoint of the antenna array of the transmitting vehicle and perpendicular to the x-axis is defined as the y-axis; the line passing through the midpoint of the antenna array of the transmitting vehicle and perpendicular to the plane where the x and y axes are located is defined as the z-axis.

[0015] Optionally, the calculating of the time-varying transmission distance between the transmitting end vehicle and the receiving end vehicle and the RIS array includes:

[0016] Calculate the midpoint of the antenna array of the transmitting vehicle to reach the mth x Row m z The components of the time-varying distance vector of the array element on the x, y, and z axes are:

[0017]

[0018]

[0019]

[0020]

[0021] In the formula, x RIS ,y RIS 、z RIS is the coordinate of the midpoint of the RIS matrix, d x ,d z is the distance between any two array elements in the x and z directions in the RIS matrix, v T.x =v T cosη T , v T.y =v T sinη T , v T.x 、v T.yis the component of the velocity vector of the transmitting vehicle on the x and y axes, v T , η T are the moving speed variables and moving direction variables of the transmitting vehicle; t is the moving time of the transmitting vehicle and the receiving vehicle;

[0022] Calculate the time-varying transmission distance between the transmitting vehicle and the RIS array:

[0023]

[0024] Calculate the midpoint of the antenna array of the receiving vehicle to reach the mth x Row m z The components of the time-varying distance vector of the array element on the x, y, and z axes are:

[0025]

[0026]

[0027]

[0028]

[0029] Where D0 is the distance between the midpoints of the antenna arrays of the transmitting vehicle and the receiving vehicle, v R.x =v R cosη R , v R.y =v R sinη R , v R.x 、v R.y is the component of the velocity vector of the receiving vehicle on the x and y axes, v R , η R are the moving speed variable and moving direction variable of the receiving vehicle;

[0030] Calculate the time-varying transmission distance between the receiving vehicle and the RIS array:

[0031]

[0032] Optionally, the calculating of the time-varying angle parameters between the transmitting end vehicle and the receiving end vehicle and the RIS array includes:

[0033] Calculate the midpoint of the antenna array of the transmitting vehicle to reach the mth x Row m z Time-varying angle parameters of array elements:

[0034]

[0035]

[0036] Calculate the midpoint of the antenna array of the receiving vehicle to reach the mth x Row m z Time-varying angle parameters of array elements:

[0037]

[0038]

[0039] Optionally, the first complex impulse response function for constructing the signal transmission path includes:

[0040]

[0041] Where K is the Rice factor, M x 、M z is the number of rows and columns of array elements in the RIS array, is the mth x Row m z The time-varying control amplitude and time-varying control phase of the signal by the array element; j is a complex number, λ is the wavelength, The midpoint of the antenna array of the transmitting vehicle and the receiving vehicle reaches the mth x Row m z Time-varying direction vector of an array element:

[0042]

[0043]

[0044] d T.p (t), d R.q (t) is the distance vector between the transmitting vehicle and the receiving vehicle from the coordinate origin:

[0045]

[0046]

[0047] Where M T 、M R is the number of antennas of the transmitting vehicle and the receiving vehicle, d T.p is the distance vector from the pth antenna of the transmitting vehicle to the origin of the coordinate system, d R.q is the distance vector from the qth antenna of the transmitting vehicle to the origin of the coordinate system, ψ T , R The angle between the antenna arrays of the transmitting vehicle and the receiving vehicle and the water surface.

[0048] Optionally, the calculating of the time-varying transmission distances between the transmitting end vehicle and the receiving end vehicle and the obstacle includes:

[0049] Calculate the components of the time-varying distance vector from the midpoint of the antenna array of the transmitting vehicle to the nth scatterer in the obstacle on the x, y, and z axes:

[0050]

[0051] d T.n.x (t) = x 簇.n -v T.x t

[0052] d T.n.y (t) = y 簇.n -v T.y t

[0053] In the formula, x 簇.n ,y 簇.n 、z 簇.n are the coordinates of n scatterers in the obstacle;

[0054] Calculate the time-varying transmission distance between the transmitting vehicle and n scatterers in the obstacle:

[0055] ξ T.n (t) = ‖d T.n (t)‖

[0056] Calculate the components of the time-varying distance vector from the midpoint of the antenna array of the receiving vehicle to the nth scatterer in the obstacle on the x, y, and z axes:

[0057]

[0058] d R.n.x (t) = x 簇.n -v R.x t

[0059] d R.n.y (t) = y 簇.n -v R.y t

[0060] Calculate the time-varying transmission distance between the receiving vehicle and n scatterers in the obstacle:

[0061] ξ R.n (t) = ‖d R.n (t)‖.

[0062] Optionally, the calculating of the time-varying angle parameters between the transmitting end vehicle and the receiving end vehicle and the obstacle includes:

[0063] Calculate the time-varying angle parameter of the midpoint of the antenna array of the transmitting vehicle reaching the nth scatterer in the obstacle:

[0064]

[0065]

[0066] Calculate the time-varying angle parameter of the midpoint of the antenna array of the receiving vehicle reaching the nth scatterer in the obstacle:

[0067]

[0068]

[0069] Optionally, the second complex impulse response function for constructing the signal transmission path includes:

[0070]

[0071] In the formula, is the random phase, N is the number of scatterers in the obstacle, e T.n (t), e R.n (t) is the time-varying direction vector from the midpoint of the antenna array of the transmitting vehicle and the receiving vehicle to the nth scatterer in the obstacle:

[0072]

[0073]

[0074] Optionally, the construction of correlation functions of the signal transmission path at different dynamic times includes:

[0075] When the signal from the transmitting vehicle reaches the receiving vehicle after being regulated by the RIS array, the correlation function of the signal transmission path between the pth antenna of the transmitting vehicle and the qth antenna of the receiving vehicle at different dynamic times is calculated:

[0076]

[0077] When the signal sent by the transmitting vehicle is reflected by an obstacle and reaches the receiving vehicle, the correlation function of the signal transmission path between the pth antenna of the transmitting vehicle and the qth antenna of the receiving vehicle at different dynamic times is calculated:

[0078]

[0079]

[0080] Compared with the prior art, the present invention has the following beneficial effects:

[0081] The present invention provides a RIS-enabled dynamic vehicle network wireless information transmission channel modeling method, which can effectively describe the actual dynamic wireless information transmission environment and obtain the transmission characteristics of the RIS-enabled dynamic vehicle network wireless information transmission scenario, and has important theoretical significance and application value for evaluating the performance of the RIS-enabled dynamic vehicle network information transmission system. BRIEF DESCRIPTION OF THE DRAWINGS

[0082] Figure 1 It is a flow chart of a RIS-enabled dynamic vehicle networking wireless information transmission channel modeling method provided by an embodiment of the present invention;

[0083] Figure 2 It is a schematic diagram of a RIS-enabled dynamic vehicle networking wireless information transmission scenario provided by an embodiment of the present invention;

[0084] Figure 3 is a curve diagram showing the influence of different transmitting end vehicles / receiving end vehicles on the transmission characteristics of RIS-enabled dynamic Internet of Vehicles provided by an embodiment of the present invention;

[0085] Figure 4 is a curve diagram showing the influence of different numbers of RIS array elements on the RIS dynamic vehicle network information transmission characteristics provided by an embodiment of the present invention;

[0086] Figure 5 It is a curve diagram of the influence of the distances between different transmitting end vehicles and receiving end vehicles on the transmission characteristics of RIS-enabled dynamic Internet of Vehicles provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0087] The present invention will be further described below in conjunction with the accompanying drawings. The following embodiments are only used to more clearly illustrate the technical solution of the present invention, and cannot be used to limit the protection scope of the present invention.

[0088] Embodiment 1:

[0089] like Figure 1 As shown, an embodiment of the present invention provides a RIS-enabled dynamic vehicle network wireless information transmission channel modeling method, comprising the following steps:

[0090] Step S1: constructing a rectangular coordinate system physical transmission model based on geometric characteristics for the RIS-enabled dynamic vehicle networking wireless information transmission scenario;

[0091] like Figure 2 As shown, the RIS provided in this embodiment enables a dynamic vehicle network wireless information transmission scenario, including a transmitting vehicle, a receiving vehicle, an obstacle, and a RIS array (intelligent metasurface); constructing a rectangular coordinate system physical transmission model based on geometric characteristics includes:

[0092] The line connecting the midpoint of the antenna array of the transmitting vehicle and the midpoint of the antenna array of the receiving vehicle is defined as the x-axis; the line passing through the midpoint of the antenna array of the transmitting vehicle and perpendicular to the x-axis is defined as the y-axis; the line passing through the midpoint of the antenna array of the transmitting vehicle and perpendicular to the plane where the x and y axes are located is defined as the z-axis.

[0093] Step S2, based on the rectangular coordinate system physical transmission model, when the signal sent by the transmitting vehicle reaches the receiving vehicle after being regulated by the RIS array, the time-varying transmission distance and time-varying angle parameters between the transmitting vehicle and the receiving vehicle and the RIS array are calculated;

[0094] (1) Calculating the time-varying transmission distance between the transmitting vehicle and the receiving vehicle and the RIS array includes:

[0095] Calculate the midpoint of the antenna array of the transmitting vehicle to reach the mth x Row m z The components of the time-varying distance vector of the array element on the x, y, and z axes are:

[0096]

[0097]

[0098]

[0099]

[0100] In the formula, x RIS ,y RIS 、z RIS is the coordinate of the midpoint of the RIS matrix, d x ,d z is the distance between any two array elements in the x and z directions in the RIS matrix, v T.x =v T cosη T , v T.y =v T sinη T , v T.x 、v T.y is the component of the velocity vector of the transmitting vehicle on the x and y axes, v T , η T are the moving speed variables and moving direction variables of the transmitting vehicle; t is the moving time of the transmitting vehicle and the receiving vehicle;

[0101] Calculate the time-varying transmission distance between the transmitting vehicle and the RIS array:

[0102]

[0103] Calculate the midpoint of the antenna array of the receiving vehicle to reach the mth x Row m z The components of the time-varying distance vector of the array element on the x, y, and z axes are:

[0104]

[0105]

[0106]

[0107]

[0108] Where D0 is the distance between the midpoints of the antenna arrays of the transmitting vehicle and the receiving vehicle, v R.x =v R cosη R , v R.y =v R sinη R , v R.x 、v R.y is the component of the velocity vector of the receiving vehicle on the x and y axes, v R , η R are the moving speed variable and moving direction variable of the receiving vehicle;

[0109] Calculate the time-varying transmission distance between the receiving vehicle and the RIS array:

[0110]

[0111] (2) Calculating the time-varying angle parameters between the transmitting end vehicle and the receiving end vehicle and the RIS array includes:

[0112] Calculate the midpoint of the antenna array of the transmitting vehicle to reach the mth x Row m z Time-varying angle parameters of array elements:

[0113]

[0114]

[0115] Calculate the midpoint of the antenna array of the receiving vehicle to reach the mth x Row m z Time-varying angle parameters of array elements:

[0116]

[0117]

[0118] Step S3: constructing a first complex impulse response function of the signal transmission path based on the time-varying transmission distance and time-varying angle parameters between the transmitting end vehicle and the receiving end vehicle and the RIS array; the specific process is as follows:

[0119]

[0120] Where K is the Rice factor, M x 、M z is the number of rows and columns of array elements in the RIS array, is the mth x Row m z The time-varying control amplitude and time-varying control phase of the signal by the array element; j is a complex number, λ is the wavelength, The midpoint of the antenna array of the transmitting vehicle and the receiving vehicle reaches the mth x Row m z Time-varying direction vector of an array element:

[0121]

[0122]

[0123] d T.p (t), d R.q (t) is the distance vector between the transmitting vehicle and the receiving vehicle from the coordinate origin:

[0124]

[0125]

[0126] Where M T 、M R is the number of antennas of the transmitting vehicle and the receiving vehicle, d T.p is the distance vector from the pth antenna of the transmitting vehicle to the origin of the coordinate system, d R.q is the distance vector from the qth antenna of the transmitting vehicle to the origin of the coordinate system, ψ T , R The angle between the antenna arrays of the transmitting vehicle and the receiving vehicle and the water surface.

[0127] Step S4, based on the rectangular coordinate system physical transmission model, when the signal sent by the transmitting vehicle is reflected by the obstacle and reaches the receiving vehicle, the time-varying transmission distance and time-varying angle parameters between the transmitting vehicle and the receiving vehicle and the obstacle are calculated;

[0128] (1) Calculating the time-varying transmission distance between the transmitting end vehicle and the receiving end vehicle and the obstacle includes:

[0129] Calculate the components of the time-varying distance vector from the midpoint of the antenna array of the transmitting vehicle to the nth scatterer in the obstacle on the x, y, and z axes:

[0130]

[0131] d T.n.x (t) = x 簇.n -v T.x t

[0132] d T.n.y (t) = y 簇.n -v T.y t

[0133] In the formula, x 簇.n ,y 簇.n 、z 簇.n are the coordinates of n scatterers in the obstacle;

[0134] Calculate the time-varying transmission distance between the transmitting vehicle and n scatterers in the obstacle:

[0135] ξ T.n (t) = ‖d T.n (t)‖

[0136] Calculate the components of the time-varying distance vector from the midpoint of the antenna array of the receiving vehicle to the nth scatterer in the obstacle on the x, y, and z axes:

[0137]

[0138] d R.n.x (t) = x 簇.n -v R.x t

[0139] d R.n.y (t) = y 簇.n -v R.y t

[0140] Calculate the time-varying transmission distance between the receiving vehicle and n scatterers in the obstacle:

[0141] ξ R.n (t) = ‖d R.n (t)‖

[0142] (2) Calculating the time-varying angle parameters between the transmitting end vehicle and the receiving end vehicle and the obstacle includes:

[0143] Calculate the time-varying angle parameter of the midpoint of the antenna array of the transmitting vehicle reaching the nth scatterer in the obstacle:

[0144]

[0145]

[0146] Calculate the time-varying angle parameter of the midpoint of the antenna array of the receiving vehicle reaching the nth scatterer in the obstacle:

[0147]

[0148]

[0149] Step S5: constructing a second complex impulse response function of the signal transmission path based on the time-varying transmission distance and time-varying angle parameters between the transmitting end vehicle and the receiving end vehicle and the obstacle; the specific process is as follows:

[0150]

[0151] In the formula, is the random phase, N is the number of scatterers in the obstacle, e T.n (t), e R.n (t) is the time-varying direction vector from the midpoint of the antenna array of the transmitting vehicle and the receiving vehicle to the nth scatterer in the obstacle:

[0152]

[0153]

[0154] Step S6, constructing a correlation function of the signal transmission path at different dynamic times based on the first complex impulse response function and the second complex impulse response function of the signal transmission path, specifically includes:

[0155] When the signal sent by the transmitting vehicle reaches the receiving vehicle after being regulated by the RIS array, the correlation function of the signal transmission path between the pth antenna of the transmitting vehicle and the qth antenna of the receiving vehicle at different dynamic times is calculated:

[0156]

[0157] When the signal from the transmitting vehicle is reflected by an obstacle and reaches the receiving vehicle, the correlation function of the signal transmission path between the pth antenna of the transmitting vehicle and the qth antenna of the receiving vehicle at different dynamic times is calculated:

[0158]

[0159] Based on the above method, Figure 2-4 The time-domain non-stationary characteristics of the RIS-enabled dynamic Internet of Vehicles scenario proposed in the present invention are given.

[0160] Figure 2The influence of the movement speed of different transmitting vehicles / receiving vehicles on the time domain non-stationary transmission characteristics in the RIS-enabled dynamic vehicle networking scenario is described. The simulation results show that when the movement speed of the transmitting vehicle and the receiving vehicle changes, the transmission characteristics of the channel will change. Therefore, when designing the wireless information transmission system of RIS-enabled dynamic vehicle networking in the later stage, the influence of the movement speed of the transmitting vehicle and the receiving vehicle on the system transmission performance should be considered.

[0161] Figure 3 The influence of different numbers of RIS array elements on the transmission characteristics in the RIS-enabled dynamic vehicle networking scenario is described. The simulation results show that when the number of array elements in the RIS array is very small, the transmission performance of the channel is relatively poor. When the number of RIS array elements increases to 100, the transmission performance of the channel will continue to improve. Therefore, in the later design of the RIS-enabled dynamic vehicle networking wireless information transmission system, the influence of the number of RIS array elements on the system transmission performance should be considered.

[0162] Figure 4 The influence of different distances between the transmitting vehicle and the receiving vehicle on the channel transmission characteristics in the RIS-enabled dynamic vehicle networking scenario is described. The simulation results show that when the distance between the transmitting vehicle and the receiving vehicle changes, the transmission characteristics of the channel will change. Therefore, in the later design of the RIS-enabled dynamic vehicle networking wireless information transmission system, the influence of the distance between the transmitting vehicle and the receiving vehicle on the system transmission performance should be considered.

[0163] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0164] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1A device that provides the functions specified in a block or multiple blocks.

[0165] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0166] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0167] The above is only a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the technical principles of the present invention. These improvements and modifications should also be regarded as the scope of protection of the present invention.

Claims

1. A RIS-enabled dynamic vehicle network wireless information transmission channel modeling method, characterized in that: include: For the RIS-enabled dynamic vehicle networking wireless information transmission scenario, a rectangular coordinate system physical transmission model based on geometric characteristics is constructed; Based on the rectangular coordinate system physical transmission model, when the signal sent by the transmitting vehicle reaches the receiving vehicle after being regulated by the RIS array, the time-varying transmission distance and time-varying angle parameters between the transmitting vehicle and the receiving vehicle and the RIS array are calculated; Constructing a first complex impulse response function of a signal transmission path based on time-varying transmission distances and time-varying angle parameters between the transmitting end vehicle and the receiving end vehicle and the RIS array; Based on the rectangular coordinate system physical transmission model, when the signal sent by the transmitting vehicle is reflected by the obstacle and reaches the receiving vehicle, the time-varying transmission distance and time-varying angle parameters between the transmitting vehicle and the receiving vehicle and the obstacle are calculated; Based on the time-varying transmission distance and time-varying angle parameters between the transmitting end vehicle and the receiving end vehicle and the obstacle, construct a second complex impulse response function of the signal transmission path; Based on the first complex impulse response function and the second complex impulse response function of the signal transmission path, constructing the correlation function of the signal transmission path at different dynamic times; The construction of a rectangular coordinate system physical transmission model based on geometric characteristics includes: Define the line connecting the midpoint of the antenna array of the transmitting vehicle and the midpoint of the antenna array of the receiving vehicle as the x-axis; define the line passing through the midpoint of the antenna array of the transmitting vehicle and perpendicular to the x-axis as the y-axis; define the line passing through the midpoint of the antenna array of the transmitting vehicle and perpendicular to the plane where the x- and y-axes are located as the z-axis; The calculating of the time-varying transmission distance between the transmitting end vehicle and the receiving end vehicle and the RIS array comprises: Calculate the midpoint of the antenna array of the transmitting vehicle to reach the mth x Row m z The components of the time-varying distance vector of the array element on the x, y, and z axes are: In the formula, x RIS ,y RIS 、z RIS is the coordinate of the midpoint of the RIS matrix, d x ,d z is the distance between any two array elements in the x and z directions in the RIS matrix, v T.x =v T cosη T , v T.y =v T sinη T , v T.x 、v T.y is the component of the velocity vector of the transmitting vehicle on the x and y axes, v T , η T are the moving speed variables and moving direction variables of the transmitting vehicle; t is the moving time of the transmitting vehicle and the receiving vehicle; Calculate the time-varying transmission distance between the transmitting vehicle and the RIS array: Calculate the midpoint of the antenna array of the receiving vehicle to reach the mth x Row m z The components of the time-varying distance vector of the array element on the x, y, and z axes are: Where D0 is the distance between the midpoints of the antenna arrays of the transmitting vehicle and the receiving vehicle, v R.x =v R cosη R , v R.y =v R sinη R , v R.x 、v R.y is the component of the velocity vector of the receiving vehicle on the x and y axes, v R , η R are the moving speed variable and moving direction variable of the receiving vehicle; Calculate the time-varying transmission distance between the receiving vehicle and the RIS array:

2. The RIS-enabled dynamic vehicle networking wireless information transmission channel modeling method according to claim 1 is characterized in that: The calculating of the time-varying angle parameters between the transmitting end vehicle and the receiving end vehicle and the RIS array comprises: Calculate the midpoint of the antenna array of the transmitting vehicle to reach the mth x Row m z Time-varying angle parameters of array elements: Calculate the midpoint of the antenna array of the receiving vehicle to reach the mth x Row m z Time-varying angle parameters of array elements:

3. The RIS-enabled dynamic vehicle network wireless information transmission channel modeling method according to claim 2 is characterized in that: The first complex impulse response function for constructing the signal transmission path includes: Where K is the Rice factor, M x 、M z is the number of rows and columns of array elements in the RIS array, is the mth x Row m z The time-varying control amplitude and time-varying control phase of the signal by the array element; j is a complex number, λ is the wavelength, The midpoint of the antenna array of the transmitting vehicle and the receiving vehicle reaches the mth x Row m z Time-varying direction vector of an array element: d T.p (t), d R.q (t) is the distance vector between the transmitting vehicle and the receiving vehicle from the coordinate origin: Where M T 、M R is the number of antennas of the transmitting vehicle and the receiving vehicle, d T.p is the distance vector from the pth antenna of the transmitting vehicle to the origin of the coordinate system, d R.q is the distance vector from the qth antenna of the transmitting vehicle to the origin of the coordinate system, ψ T , R The angle between the antenna arrays of the transmitting vehicle and the receiving vehicle and the horizontal plane.

4. The RIS-enabled dynamic vehicle network wireless information transmission channel modeling method according to claim 3 is characterized in that: The calculating of the time-varying transmission distance between the transmitting end vehicle and the receiving end vehicle and the obstacle comprises: Calculate the components of the time-varying distance vector from the midpoint of the antenna array of the transmitting vehicle to the nth scatterer in the obstacle on the x, y, and z axes: d T.n.x (t)=x 簇.n -v T.x t d T.n.y (t)=y 簇.n -v T.y t In the formula, x 簇.n ,y 簇.n 、z 簇.n are the coordinates of n scatterers in the obstacle; Calculate the time-varying transmission distance between the transmitting vehicle and n scatterers in the obstacle: ξ T.n (t)=‖d T.n (t)‖ Calculate the components of the time-varying distance vector from the midpoint of the antenna array of the receiving vehicle to the nth scatterer in the obstacle on the x, y, and z axes: d R.n.x (t)=x 簇.n -v R.x t d R.n.y (t)=y 簇.n -v R.y t Calculate the time-varying transmission distance between the receiving vehicle and n scatterers in the obstacle: ξ R.n (t)=‖d R.n (t)‖。 5. The RIS-enabled dynamic vehicle network wireless information transmission channel modeling method according to claim 4 is characterized in that: The calculating of the time-varying angle parameters between the transmitting end vehicle and the receiving end vehicle and the obstacle comprises: Calculate the time-varying angle parameter of the midpoint of the antenna array of the transmitting vehicle reaching the nth scatterer in the obstacle: Calculate the time-varying angle parameter of the midpoint of the antenna array of the receiving vehicle reaching the nth scatterer in the obstacle:

6. The RIS-enabled dynamic vehicle network wireless information transmission channel modeling method according to claim 5 is characterized in that: The second complex impulse response function for constructing the signal transmission path includes: In the formula, is the random phase, N is the number of scatterers in the obstacle, e T.n (t), e R.n (t) is the time-varying direction vector from the midpoint of the antenna array of the transmitting vehicle and the receiving vehicle to the nth scatterer in the obstacle:

7. The RIS-enabled dynamic vehicle network wireless information transmission channel modeling method according to claim 6 is characterized in that: The construction of correlation functions of the signal transmission path at different dynamic times includes: When the signal from the transmitting vehicle reaches the receiving vehicle after being regulated by the RIS array, the correlation function of the signal transmission path between the pth antenna of the transmitting vehicle and the qth antenna of the receiving vehicle at different dynamic times is calculated: When the signal from the transmitting vehicle is reflected by an obstacle and reaches the receiving vehicle, the correlation function of the signal transmission path between the pth antenna of the transmitting vehicle and the qth antenna of the receiving vehicle at different dynamic times is calculated:

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