A method for channel modeling in vehicle-to-everything (V2X) networks based on a wireless channel simulator

Abstract

This invention discloses a method for channel modeling of vehicular networks (V2X) based on a wireless channel simulator, comprising the following steps: Step 1, establishing a model and a vehicular network model based on the velocity scalar, elevation angle, and azimuth angle of the V2X receiver and the velocity scalar, elevation angle, and azimuth angle of the V2X transmitter; Step 2, obtaining the V2X channel model by performing radiation pattern modeling on all elements in a single element of the wireless channel simulator based on the established V2X channel model; Step 3, obtaining the vehicle motion trajectory by realizing the uniform acceleration or deceleration trajectory points of vehicles in the V2X network based on half-wavelength sampling density using the established V2X channel model. This invention achieves accurate channel modeling by considering the relative positional relationship between vehicles, antenna radiation patterns, and the influence of vehicle acceleration and deceleration on the channel. It enables simulation of specified scenarios in V2X, such as overtaking, congestion, and intersections.

Description

Technical Field

[0001] This invention relates to the field of vehicle networking, specifically a method for vehicle networking channel modeling based on a wireless channel simulator. Background Technology

[0002] Traditional vehicular network (V2V) channel modeling algorithms collect wireless channel information between vehicles, typically including attenuation values, propagation delays, Doppler amplitude, and phase, and then import this information into a wireless channel simulator for simulation or configure a V2V channel model using statistical modeling to perform small-scale multipath fading simulations. While traditional V2V wireless channel modeling algorithms can perform V2V channel simulations, they do not consider the relative positions of vehicles, antenna patterns, and the effects of vehicle acceleration and deceleration on the channel, thus lacking accuracy. Summary of the Invention

[0003] The purpose of this invention is to overcome the shortcomings of the prior art and provide a method for vehicle network channel modeling based on a wireless channel simulator, comprising the following steps:

[0004] Step 1: Based on the speed scalar, pitch angle, and azimuth angle of the vehicle-to-everything (V2X) receiver, and the speed scalar, pitch angle, and azimuth angle of the V2X transmitter, establish... Model and Model;

[0005] Step two, based on the established Model and The model is obtained by performing pattern modeling on all the elements in a single element of a wireless channel simulator to obtain the channel model of the vehicle network.

[0006] Step 3: Using the established channel model of the vehicle network, the uniform acceleration or deceleration trajectory points of vehicles in the vehicle network are realized based on half-wavelength sampling density, thus obtaining the motion trajectory of vehicles in the vehicle network.

[0007] Furthermore, based on the speed scalar, pitch angle, and azimuth angle of the vehicle network receiver, and the speed scalar, pitch angle, and azimuth angle of the vehicle network transmitter, the aforementioned system is established... Model and The model includes:

[0008] The model is:

[0009]

[0010] The model is:

[0011]

[0012] u represents the antenna index of the receiving antenna; s represents the antenna index of the transmitting antenna; n represents the cluster index; m represents the sub-path index; P n The normalized cluster power is represented by M; the number of sub-paths is represented by θ; and the pitch angle is represented by θ. Indicates azimuth; F rx,u,θ This indicates the radiation pattern in the vertical direction of the receiving antenna; This represents the radiation pattern of the receiving antenna in the horizontal direction; κ represents the cross-polarization ratio; Φ represents the random phase. This represents the coordinates of the receiving terminal in a spherical coordinate system; This represents the coordinates of the transmitting base station in a spherical coordinate system; Represents the coordinate vector of the u-th receiving antenna; λ represents the coordinate vector of the s-th transmitting antenna; λ0 represents the wavelength; v represents the velocity vector of the terminal;

[0013] For any time t, v is:

[0014]

[0015] Among them

[0016]

[0017]

[0018] Among them, v rx and v tx Let θ represent the speed scalars of the receiver and transmitter in the vehicle-to-everything (V2X) network at time t, respectively. v,rx and φ v,rx θ represents the pitch and azimuth angles of the receiver in the vehicle-to-everything (V2X) network at time t, respectively. v,tx and φ v,tx These represent the pitch and azimuth angles of the transmitter's motion in the vehicle-to-everything (V2X) network at time t, respectively.

[0019] Furthermore, the aforementioned based on the established Model and The model, obtained by performing pattern modeling on all elements in a single element of a wireless channel simulator, yields a channel model for the vehicle-to-everything (V2X) network, including:

[0020] For any permutation of N A Let the center of each array be the origin, and the polar spherical coordinates of any point P in the far field be... Simultaneously, let the Cartesian coordinates of the antenna array be (x... i ,y i ,z i ), 1≤i≤N A The path difference from each antenna element to point P is:

[0021]

[0022] The direction pattern at point P is:

[0023]

[0024] in, The antenna pattern representing the i-th array;

[0025] Let ρ be the half-wavelength sampling density, representing the number of sampling points along half a wavelength during the modeling process, and let the interval between two sampling points be ρ. λ represents wavelength;

[0026] According to the Doppler formula:

[0027]

[0028] Among them, f center The center frequency is given, v represents the terminal speed, and Ω is the angle of arrival. t0 represents the sampling time between two sample points. Substituting v into the Doppler formula, we get:

[0029]

[0030] make Indicates the baseband sampling rate, then:

[0031]

[0032] in This indicates the maximum Doppler frequency shift.

[0033] Furthermore, the aforementioned method of obtaining the vehicle trajectory by realizing the uniform acceleration or uniform deceleration trajectory points of vehicles in the vehicle network based on the established vehicle network channel model and half-wavelength sampling density includes:

[0034] For two cars moving at a constant speed, we have

[0035] 2ρ tx f d,Txmax =2ρ rx f d,Rxmax

[0036] Where f d,Txmax f represents the maximum Doppler of the starting vehicle. d,Rxmax ρ represents the maximum Doppler of the receiving vehicle. tx ρ represents the half-wavelength sampling density of the starting vehicle. rx This represents the half-wavelength sampling density of the receiving vehicle; in order to satisfy the Nyquist theorem, then...

[0037] min(ρtx ,ρ rx )=ρ

[0038] but

[0039]

[0040] According to min(ρ) tx ,ρ rx ) = ρ and The half-wavelength sampling density sequence χ=[ρ is obtained through iteration. s ,ρ s -Δρ,ρ s -2Δρ,…,ρ e ], based on the obtained half-wavelength sampling density sequence χ=[ρ s ,ρ s -Δρ,ρ s -2Δρ,…,ρ e And based on the coordinate position, the initial velocity v is obtained through data interpolation. s The cutoff velocity is v e The uniform acceleration or deceleration trajectory points of vehicles in the vehicle network are used to obtain the motion trajectory of vehicles in the vehicle network.

[0041] Furthermore, the statement based on min(ρ) tx ,ρ rx ) = ρ and The half-wavelength sampling density sequence χ=[ρ is obtained through iteration. s ,ρ s -Δρ,ρ s -2Δρ,…,ρ e ],include:

[0042] 1) Define error variables

[0043] 2) Based on min(ρ) tx ,ρ rx ) = ρ and Get the current vehicle's initial speed v s and cutoff speed v e The corresponding half-wavelength sampling densities ρ s and ρ e ;

[0044] 3) Define the initial increment of ρ as Δρ = 1;

[0045] 4) Calculation make

[0046] 5) Order like make Return to step 4);

[0047] like Then the half-wavelength sampling density sequence χ=[ρ s ,ρ s -Δρ,ρ s -2Δρ,…,ρ e And exit the current loop; where This indicates rounding down to the nearest integer.

[0048] The beneficial effects of this invention are: it calculates the angular relationship between two vehicles based on their position information, considers the influence of arbitrary antenna array arrangement on the antenna pattern, and achieves uniform acceleration and deceleration of the vehicles based on half-wavelength sampling density. Based on the above modeling and simulation, it can realize the simulation of specified scenarios in the Internet of Vehicles, such as overtaking, traffic jams, and intersections. Attached Figure Description

[0049] Figure 1 This is a flowchart illustrating a method for modeling vehicle-to-everything (V2X) channels based on a wireless channel simulator.

[0050] Figure 2 A schematic diagram of a single-array radiation pattern for vehicle-to-everything (V2X) communication.

[0051] Figure 3 The composite pattern of 8x8 identical mononuclear arrays;

[0052] Figure 4 The combined radiation pattern of 8x8 identical single-element arrays (10° electric downtilt);

[0053] Figure 5 This is a schematic diagram of the trajectory sampling points;

[0054] Figure 6 This is a schematic diagram illustrating the movement of the two vehicles;

[0055] Figure 7 This is a schematic diagram of the channel impulse response between the two vehicles. Detailed Implementation

[0056] The technical solution of the present invention will be further described in detail below with reference to the accompanying drawings, but the scope of protection of the present invention is not limited to the following description.

[0057] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention; that is, the described embodiments are only some embodiments of the invention, and not all embodiments. The components of the embodiments of the invention described and shown in the accompanying drawings can generally be arranged and designed in various different configurations.

[0058] Therefore, the following detailed description of the embodiments of the invention provided in the accompanying drawings is not intended to limit the scope of the claimed invention, but merely to illustrate selected embodiments of the invention. All other embodiments obtained by those skilled in the art based on the embodiments of the invention without inventive effort are within the scope of protection of the invention. It should be noted that relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations.

[0059] Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

[0060] The features and performance of the present invention will be further described in detail below with reference to embodiments.

[0061] like Figure 1 As shown, a method for vehicle-to-everything (V2X) channel modeling based on a wireless channel simulator includes the following steps:

[0062] Step 1: Based on the speed scalar, pitch angle, and azimuth angle of the vehicle-to-everything (V2X) receiver, and the speed scalar, pitch angle, and azimuth angle of the V2X transmitter, establish... Model and Model;

[0063] Step two, based on the established Model and The model is obtained by performing pattern modeling on all the elements in a single element of a wireless channel simulator to obtain the channel model of the vehicle network.

[0064] Step 3: Using the established channel model of the vehicle network, the uniform acceleration or deceleration trajectory points of vehicles in the vehicle network are realized based on half-wavelength sampling density, thus obtaining the motion trajectory of vehicles in the vehicle network.

[0065] The aforementioned method establishes a system based on the speed scalar, pitch angle, and azimuth angle of the vehicle-to-everything (V2X) receiver and the speed scalar, pitch angle, and azimuth angle of the V2X transmitter. Model and The model includes:

[0066] The model is:

[0067]

[0068] The model is:

[0069]

[0070] u represents the antenna index of the receiving antenna; s represents the antenna index of the transmitting antenna; n represents the cluster index; m represents the sub-path index; P n The normalized cluster power is represented by M; the number of sub-paths is represented by θ; and the pitch angle is represented by θ. Indicates azimuth; F rx,u,θ This indicates the radiation pattern in the vertical direction of the receiving antenna; This represents the radiation pattern of the receiving antenna in the horizontal direction; κ represents the cross-polarization ratio; Φ represents the random phase. This represents the coordinates of the receiving terminal in a spherical coordinate system; This represents the coordinates of the transmitting base station in a spherical coordinate system; Represents the coordinate vector of the u-th receiving antenna; λ represents the coordinate vector of the s-th transmitting antenna; λ0 represents the wavelength; v represents the velocity vector of the terminal;

[0071] For any time t, v is:

[0072]

[0073] Among them

[0074]

[0075]

[0076] Among them, v rx and v tx Let θ represent the speed scalars of the receiver and transmitter in the vehicle-to-everything (V2X) network at time t, respectively. v,rx and φ v,rx θ represents the pitch and azimuth angles of the receiver in the vehicle-to-everything (V2X) network at time t, respectively. v,tx and φ v,tx These represent the pitch and azimuth angles of the transmitter's motion in the vehicle-to-everything (V2X) network at time t, respectively.

[0077] The aforementioned based on the established Model and The model, obtained by performing pattern modeling on all elements in a single element of a wireless channel simulator, yields a channel model for the vehicle-to-everything (V2X) network, including:

[0078] For any permutation of N ALet the center of each array be the origin, and the polar spherical coordinates of any point P in the far field be... Simultaneously, let the Cartesian coordinates of the antenna array be (x... i ,y i ,z i ), 1≤i≤N A The path difference from each antenna element to point P is:

[0079]

[0080] The direction pattern at point P is:

[0081]

[0082] in, The antenna pattern representing the i-th array;

[0083] Let ρ be the half-wavelength sampling density, representing the number of sampling points along half a wavelength during the modeling process, and let the interval between two sampling points be ρ. λ represents wavelength;

[0084] According to the Doppler formula:

[0085]

[0086] Among them, f center The center frequency is given, v represents the terminal speed, and Ω is the angle of arrival. t0 represents the sampling time between two sample points. Substituting v into the Doppler formula, we get:

[0087]

[0088] make Indicates the baseband sampling rate, then:

[0089]

[0090] in This indicates the maximum Doppler frequency shift.

[0091] The aforementioned method, through the established channel model of the vehicle-to-everything (V2X) network, uses half-wavelength sampling density to realize the uniform acceleration or deceleration trajectory points of vehicles in the V2X network, thereby obtaining the motion trajectory of vehicles in the V2X network, includes:

[0092] For two cars moving at a constant speed, we have

[0093] 2ρ tx f d,Txmax =2ρ rx f d,Rxmax

[0094] Where fd,Txmax f represents the maximum Doppler of the starting vehicle. d,Rxmax ρ represents the maximum Doppler of the receiving vehicle. tx ρ represents the half-wavelength sampling density of the starting vehicle. rx This represents the half-wavelength sampling density of the receiving vehicle; in order to satisfy the Nyquist theorem, then...

[0095] min(ρ tx ,ρ rx )=ρ

[0096] but

[0097]

[0098] According to min(ρ) tx ,ρ rx ) = ρ and The half-wavelength sampling density sequence χ=[ρ is obtained through iteration. s ,ρ s -Δρ,ρ s -2Δρ,…,ρ e ], based on the obtained half-wavelength sampling density sequence χ=[ρ s ,ρ s -Δρ,ρ s -2Δρ,…,ρ e And based on the coordinate position, the initial velocity v is obtained through data interpolation. s The cutoff velocity is v e The uniform acceleration or deceleration trajectory points of vehicles in the vehicle network are used to obtain the motion trajectory of vehicles in the vehicle network.

[0099] The above is based on min(ρ) tx ,ρ rx ) = ρ and The half-wavelength sampling density sequence χ=[ρ is obtained through iteration. s ,ρ s -Δρ,ρ s -2Δρ,…,ρ e ],include:

[0100] 1) Define error variables

[0101] 2) Based on min(ρ) tx ,ρ rx ) = ρ and Get the current vehicle's initial speed v s and cutoff speed v e The corresponding half-wavelength sampling densities ρ s and ρ e ;

[0102] 3) Define the initial increment of ρ as Δρ = 1;

[0103] 4) Calculation make

[0104] 5) Order like make Return to step 4);

[0105] like Then the half-wavelength sampling density sequence χ=[ρ s ,ρ s -Δρ,ρ s -2Δρ,…,ρ e And exit the current loop; where This indicates rounding down to the nearest integer.

[0106] Specifically, this invention provides a vehicle-to-everything (V2X) channel modeling method based on a wireless channel simulator. It calculates the angular relationship between two vehicles based on their position information, considers the influence of arbitrary antenna array arrangement on the antenna pattern, and implements uniform acceleration and deceleration of the vehicles based on half-wavelength sampling density. Based on this modeling and simulation, it can simulate specified scenarios in V2X, such as overtaking, traffic congestion, and intersections.

[0107] According to the 3GPP-38901 protocol, the traditional geometry-based modeling formula is as follows:

[0108]

[0109] in Indicates a non-direct line of sight. Indicates the direct line of sight, K R The Rice K-factor represents the proportion of the LOS (Left-of-Sight) path among all paths. Each non-direct-view path is composed of 20 sub-paths.

[0110] and The modeling method is as follows:

[0111]

[0112]

[0113] in:

[0114] u represents the antenna index of the receiving antenna; s represents the antenna index of the transmitting antenna; n represents the cluster index; m represents the sub-path index; P n The normalized cluster power is represented by M; the number of sub-paths is represented by θ; and the pitch angle is represented by θ. Indicates azimuth; F rx,u,θThis indicates the radiation pattern in the vertical direction of the receiving antenna; This represents the radiation pattern of the receiving antenna in the horizontal direction; κ represents the cross-polarization ratio; Φ represents the random phase. This represents the coordinates of the receiving terminal in a spherical coordinate system; This represents the coordinates of the transmitting base station in a spherical coordinate system; Represents the coordinate vector of the u-th receiving antenna; λ represents the coordinate vector of the s-th transmitting antenna; λ0 represents the wavelength; v represents the velocity vector of the terminal.

[0115] For vehicle-to-everything (V2X) networks, the transmitting and receiving ends may be in relative motion. For any time t, v in formula (2) or (3) can be expressed as:

[0116]

[0117] Among them

[0118]

[0119]

[0120] Among them, v rx and v tx Let θ represent the velocity scalars at the receiver and transmitter at time t, respectively. v,rx and φ v,rx θ represents the pitch and azimuth angles of the receiver at time t, respectively. v,tx and φ v,tx These represent the elevation and azimuth angles of the transmitter at time t, respectively.

[0121] Due to hardware cost considerations, channel modeling for vehicle-to-everything (V2X) networks requires pattern modeling for all elements within a single sub-cell to conserve simulator ports. For any arrangement of N... A A sub-element, assuming the center of this sub-element is the origin, considering the far-field conditions and the plane wave model, the polar spherical coordinates of any point P in the far field are: Meanwhile, it is assumed that the Cartesian coordinates of the antenna array are (x... i ,y i ,z i ), 1≤i≤N A The path difference from each antenna element to point P can be expressed as:

[0122]

[0123] The direction pattern at point P can then be represented as:

[0124]

[0125] in, The antenna pattern representing the i-th element is as follows: Figure 2 As shown. The synthesized array element pattern can be obtained by traversing the polar spherical coordinate system in formula (8), as shown... Figure 3 As shown.

[0126] If electric downward tilt is taken into account, then formula (8) can be written as

[0127]

[0128]

[0129] Where w i Let z represent the complex weight of the i-th element. i Let represent the Z-axis coordinate of the i-th element, and γ be the electric downtilt angle. The result is as follows: Figure 4 As shown, the composite radiation pattern of 8x8 identical single-element arrays is 10° electrically downtilted.

[0130] Assuming the half-wavelength sampling density is ρ, representing the number of sampling points along half a wavelength during modeling, and the interval between two sampling points is... λ represents wavelength, such as Figure 5 As shown. In traditional cellular modeling theory, assuming a terminal moves from point a to point b, its propagation delay is... Transform into Where c represents the speed of light, the propagation delay is controlled by the wireless channel simulator hardware through delay control of the input signal, and the channel modeling algorithm does not involve delay control.

[0131] According to the Doppler formula:

[0132]

[0133] Among them, f center The center frequency is Ω, v represents the terminal operating speed, and Ω is the angle of arrival, which is determined based on the geometric relationship between the transmitting and receiving ends. t0 represents the sampling time between two sample points. Substituting v into formula (11) yields...

[0134]

[0135] make Let the baseband sampling rate be represented, then formula (12) can be expressed as:

[0136]

[0137] in This represents the maximum Doppler frequency shift. When the terminal velocity v is constant, f d,maxIt is a definite value. Formula (13) shows that as long as the wireless channel simulator strictly controls t0 and calculates the spatial angle θ in real time according to the geometric relationship (which can be represented by the azimuth and elevation angles), it can realize the control of the Doppler frequency shift. At the same time, the angle information imported from the external field can be substituted into formula (2) or (3) to calculate the antenna pattern (F). tx and F rx Cross-polarization ratio matrix (NLOS scenario), the projection of the diameter onto the antenna panel ( and The impact of the channel impulse response is investigated, thereby simulating the wireless channel.

[0138] For vehicle network modeling, since both the transmitting and receiving ends may move, and due to limitations in the implementation of the wireless channel simulator and overall resources, F in formula (13) s If the value is kept constant, then for two cars moving at a constant speed, we have:

[0139] 2ρ tx f d,Txmax =2ρ rx f d,Rxmax (14)

[0140] Where f d,Txmax f represents the maximum Doppler of the starting vehicle. d,Rxmax ρ represents the maximum Doppler of the receiving vehicle. tx ρ represents the half-wavelength sampling density of the starting vehicle. rx This represents the half-wavelength sampling density of the receiving vehicle. To satisfy the Nyquist theorem, it should be ensured that...

[0141] min(ρ tx ,ρ rx )=ρ (15)

[0142] but

[0143]

[0144] When the cars follow a trajectory of uniform acceleration (uniform deceleration can be calculated accordingly), consider one of the cars, assuming its initial velocity is v. s The cutoff speed is v e (v s <v e The total running length is S meters. Due to the uniform acceleration of the velocity, f d,max For uniformly accelerated change, F in formula (13) s For it to remain constant, ρ needs to change with uniform deceleration, and the sum of the distances traveled by the points on the trajectory must be equal to S.

[0145] Since it is uniformly accelerated motion, from the derivation of formulas (15) and (16), we can obtain the cutoff velocity v. e The corresponding half-wavelength sampling density of the trajectory points is ρ, since v e Since ρ is the maximum value of the velocity, the half-wavelength sampling density corresponding to the velocity of any other trajectory point is greater than ρ, which ensures that the signal at the sampling point satisfies the Nyquist theorem.

[0146] To ensure uniform acceleration of the trajectory points and that the total distance traveled by the trajectory points equals S, the following iterative method can be used to find a suitable increment Δρ of ρ (Δρ is negative during uniform acceleration and positive during uniform deceleration):

[0147] 6) Define error variables

[0148] 7) Calculate the current vehicle's initial speed v according to formulas (15) and (16). s and cutoff speed v e The corresponding half-wavelength sampling densities ρ s and ρ e ;

[0149] 8) Define the initial increment of ρ as Δρ = 1;

[0150] 9) Calculation in To indicate rounding down, let

[0151] 10) Order if make Return to step (4);

[0152] 11) If Then a suitable half-wavelength sampling density sequence χ=[ρ s ,ρ s -Δρ,ρ s -2Δρ,…,ρ e And exit the current loop.

[0153] Based on the obtained χ sequence and data interpolation according to the coordinate position, the initial velocity v can be obtained. s The cutoff velocity is v e The trajectory points of uniform acceleration (deceleration).

[0154] If both vehicles are in uniform acceleration (deceleration) motion, the half-wavelength sampling density corresponding to each speed can be calculated according to formulas (15) and (16) and the starting and ending speeds of the two vehicles. Then, the motion trajectory of each vehicle can be calculated according to the above iterative algorithm.

[0155] According to the scheme defined in this paper, a scenario is defined where the first car moves 12.7m at a constant speed of 3km / h, and the second car accelerates uniformly and moves in the opposite direction from the first car, with an initial speed of 3km / h and a final speed of 23.6km / h, moving 30m. With a base station half-wavelength sampling density of 8 and a center frequency of 2.6GHz, the number of trajectory points for both cars is calculated to be the same. The motion diagram is shown below. Figure 6 As shown.

[0156] Channel impulse response between the two vehicles, such as Figure 7 As shown, since there is no change in angle between the two vehicles, the time-domain impact response in the left figure shows no change in amplitude; since the two vehicles are accelerating away from each other, the frequency-domain impact response in the right figure shows a negative frequency offset.

[0157] The above description is merely a preferred embodiment of the present invention. It should be understood that the present invention is not limited to the forms disclosed herein and should not be construed as excluding other embodiments. It can be used in various other combinations, modifications, and environments, and can be altered within the scope of the concept described herein through the above teachings or related technologies or knowledge. Modifications and variations made by those skilled in the art that do not depart from the spirit and scope of the present invention should be within the protection scope of the appended claims.

Claims

1. A method for modeling vehicle network channels based on a wireless channel simulator, characterized in that, Includes the following steps: Step 1: Based on the speed scalar, pitch angle, and azimuth angle of the vehicle-to-everything (V2X) receiver, and the speed scalar, pitch angle, and azimuth angle of the V2X transmitter, establish... Model and Model; Step two, based on the established Model and The model is obtained by performing pattern modeling on all the elements in a single element of a wireless channel simulator to obtain the channel model of the vehicle network. Step 3: Using the established channel model of the vehicle network, the uniform acceleration or uniform deceleration trajectory points of vehicles in the vehicle network are realized based on half-wavelength sampling density, thus obtaining the motion trajectory of vehicles in the vehicle network. The aforementioned based on the established Model and The model, obtained by performing pattern modeling on all elements in a single element of a wireless channel simulator, yields a channel model for the vehicle-to-everything (V2X) network, including: For any permutation of N A Let the center of each array be the origin, and the polar spherical coordinates of any point P in the far field be... Simultaneously, let the Cartesian coordinates of the antenna array be (x... i ,y i ,z i ), 1≤i≤N A The path difference from each antenna element to point P is: The direction pattern at point P is: in, The antenna pattern representing the i-th array; Let ρ be the half-wavelength sampling density, representing the number of sampling points along half a wavelength during the modeling process, and let the interval between two sampling points be ρ. λ represents wavelength; According to the Doppler formula: Among them, f center The center frequency is given, v represents the terminal speed, and Ω is the angle of arrival. t0 represents the sampling time between two sample points. Substituting v into the Doppler formula, we get: make Indicates the baseband sampling rate, then: in This indicates the maximum Doppler frequency shift.

2. The method for vehicle network channel modeling based on a wireless channel simulator according to claim 1, characterized in that, The aforementioned method establishes a system based on the speed scalar, pitch angle, and azimuth angle of the vehicle-to-everything (V2X) receiver and the speed scalar, pitch angle, and azimuth angle of the V2X transmitter. Model and The model includes: The model is: The model is: u represents the antenna index of the receiving antenna; s represents the antenna index of the transmitting antenna; n represents the cluster index; m represents the sub-path index; P n The normalized cluster power is represented by M; the number of sub-paths is represented by θ; and the pitch angle is represented by θ. Indicates azimuth; F rx,u,θ This indicates the radiation pattern in the vertical direction of the receiving antenna; This represents the radiation pattern of the receiving antenna in the horizontal direction; κ represents the cross-polarization ratio; Φ represents the random phase. This represents the coordinates of the receiving terminal in a spherical coordinate system; This represents the coordinates of the transmitting base station in a spherical coordinate system; Represents the coordinate vector of the u-th receiving antenna; λ represents the coordinate vector of the s-th transmitting antenna; λ0 represents the wavelength; v represents the velocity vector of the terminal; For any time t, v is: Among them Among them, v rx and v tx Let θ represent the speed scalars of the receiver and transmitter in the vehicle-to-everything (V2X) network at time t, respectively. v,rx and φ v,rx θ represents the pitch and azimuth angles of the receiver in the vehicle-to-everything (V2X) network at time t, respectively. v,tx and φ v,tx These represent the pitch and azimuth angles of the transmitter's motion in the vehicle-to-everything (V2X) network at time t, respectively.

3. The method for vehicle network channel modeling based on a wireless channel simulator according to claim 1, characterized in that, The aforementioned method, through the established channel model of the vehicle-to-everything (V2X) network, uses half-wavelength sampling density to realize the uniform acceleration or deceleration trajectory points of vehicles in the V2X network, thereby obtaining the motion trajectory of vehicles in the V2X network, includes: For two cars moving at a constant speed, we have 2ρ tx f d,Txmax =2ρ rx f d,Rxmax Where f d,Txmax f represents the maximum Doppler of the starting vehicle. d,Rxmax ρ represents the maximum Doppler of the receiving vehicle. tx ρ represents the half-wavelength sampling density of the starting vehicle. rx This represents the half-wavelength sampling density of the receiving vehicle; in order to satisfy the Nyquist theorem, then... min(r tx ,r rx )=ρ but According to min(ρ) tx ,ρ rx ) = ρ and The half-wavelength sampling density sequence χ=[ρ is obtained through iteration. s ,ρ s -△ρ,ρ s -2△ρ,…,ρ e ], based on the obtained half-wavelength sampling density sequence χ=[ρ s ,ρ s -△ρ,ρ s -2△ρ,…,ρ e And based on the coordinate position, the initial velocity v is obtained through data interpolation. s The cutoff velocity is v e The uniform acceleration or deceleration trajectory points of vehicles in the vehicle network are used to obtain the motion trajectory of vehicles in the vehicle network.

4. The method for vehicle network channel modeling based on a wireless channel simulator according to claim 3, characterized in that, The above is based on min(ρ) tx ,ρ rx ) = ρ and The half-wavelength sampling density sequence X = [ρ] is obtained through iteration. s ,ρ s -△ρ,ρ s -2△ρ,…,ρ e ],include: 1) Define error variables 2) Based on min(ρ) tx ,ρ rx ) = ρ and Get the current vehicle's initial speed v s and cutoff speed v e The corresponding half-wavelength sampling densities ρ s and ρ e ; 3) Define the initial increment of ρ as Δρ = 1; 4) Calculation make 5) Order like make Return to step 4); like Then the half-wavelength sampling density sequence X = [ρ] is obtained. s ,ρ s -△ρ,ρ s -2△ρ,…,ρ e And exit the current loop; where This indicates rounding down to the nearest integer.

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