Information transmission method for omni-directional smart reflector assisted non-orthogonal multiple access system

Abstract

The application discloses an information transmission method of an omnidirectional intelligent reflecting surface assisted non-orthogonal multiple access system, which is composed of the following steps: constructing a transmission signal model, determining a cascade channel cumulative distribution function, determining an outage probability and a diversity order, determining a system throughput, and constructing an omnidirectional intelligent reflecting surface element distribution method. The application adopts the omnidirectional intelligent reflecting surface assisted non-orthogonal multiple access system, considers the direct link between a base station and a user, applies a mode switching protocol of the omnidirectional intelligent reflecting surface, constructs a reasonable signal transmission model, uses a new type of channel statistical method to obtain the cumulative distribution function of the cascade channel, and improves the outage probability and the diversity order of the user compared with the prior art. Through the construction of the omnidirectional intelligent reflecting surface element distribution method, the maximum gain of the system throughput is realized. The application has the advantages of reasonable transmission design, easy implementation, good outage performance, high system throughput and the like, and can be used in the field of wireless communication technology.

Description

Technical Field

[0001] This invention belongs to the field of wireless communication technology, specifically relating to information transmission in an omnidirectional intelligent reflector-assisted non-orthogonal multiple access system. Background Technology

[0002] In recent years, the rapid development of the Industrial Internet of Things (IIoT) has led to an increasing demand for large-scale connectivity of various wireless devices and higher spectral and energy efficiency. Smart reflectors have attracted widespread research interest from both academia and industry. Smart reflectors offer significant advantages in improving the spectral and energy efficiency of the networks under consideration. Deploying smart reflectors in traditional communication systems can meet the service requirements of users in signal blind spots by creating direct links to transmit signals without consuming additional RF chains. This results in lower cost, lower power consumption, and higher spectral efficiency for smart reflectors. However, smart reflectors have a significant drawback: they can only serve users on one side, limiting the coverage area to 180 degrees. Therefore, a new type of smart reflector, called the omnidirectional smart reflector, has emerged to overcome the limitation of traditional smart reflectors serving only one side, extending the coverage area from 180 degrees to 360 degrees. Currently, omnidirectional smart reflectors are designed with three protocol modes: time-switching, energy splitting, and mode-switching. The components of the omnidirectional smart reflector reconfigure the transmitted and reflected signals by controlling the transmission and reflection coefficients, thereby introducing additional degrees of freedom to control the signal propagation environment and improve transmission performance. Therefore, this new type of intelligent reflective surface has attracted widespread attention.

[0003] Non-orthogonal multiple access (NOAMI) refers to a system where the transmitter sends superimposed signals and the receiver uses serial interference cancellation. Due to its advantages of supporting massive connectivity and higher spectral efficiency, it holds immense potential. Therefore, the combination of omnidirectional intelligent reflectors and NOAMI can support large-scale device connectivity and 360-degree full coverage, making it a promising research direction for sixth-generation mobile communications.

[0004] Mode switching protocols are one of the three protocols for omnidirectional intelligent reflectors. Currently, most systems using omnidirectional intelligent reflectors to assist non-orthogonal multiple access (NOA) focus on energy splitting protocols. In energy splitting protocols, each element can simultaneously reflect and refract, increasing component complexity and cost. Furthermore, in practical deployments, it's impossible to allocate more elements to users with poor channel conditions for better performance improvement based on their actual channel conditions. However, in mode switching protocols, all elements are divided into two parts: one for reflection and the other for refraction. Although more elements are used compared to energy splitting protocols, manufacturing costs are reduced because each element is responsible for only one function. Additionally, the number of elements in each part can be adjusted according to different users' channel conditions, resulting in higher performance gains.

[0005] In the field of omnidirectional intelligent reflector-assisted nonorthogonal multiple access systems, one of the urgent technical problems to be solved is the signal transmission method that utilizes mode switching protocols to generate greater performance gains. Summary of the Invention

[0006] The technical problem to be solved by the present invention is to overcome the shortcomings of the prior art and provide an information transmission method for an omnidirectional intelligent reflector-assisted nonorthogonal multiple access system with reasonable transmission design, simple method, good interrupt performance, high diversity order, and large system throughput.

[0007] The technical solution adopted to solve the above technical problems consists of the following steps:

[0008] (1) Constructing a transmission signal model

[0009] The transmission signal model consists of a base station, an omnidirectional intelligent reflector, reflecting users, and refracting users. Each base station, reflecting user, and refracting user is equipped with a single antenna. The omnidirectional intelligent reflector uses a mode-switching protocol to construct the transmission signal model. The base station transmits superimposed signals to STAR-RIS. STAR-RIS forwards superimposed signals to both reflecting and refracting users. The base station transmits the required signal to the reflecting user. .

[0010] (2) Determine the cumulative distribution function of the cascaded channel

[0011] The cumulative distribution function of the reflected user concatenated channel is obtained according to equation (1). : (1)

[0012]

[0013]

[0014]

[0015]

[0016] in, This represents the fading parameters of the channel from the base station to the omnidirectional intelligent reflector. The value ranges from 2 to 4. This represents the fading parameters from the omnidirectional intelligent reflector to the reflecting user channel. The value ranges from 2 to 4. The characteristic expression representing the reflected user concatenated channel, The control parameters representing complexity The value ranges from 0.1 to 0.5. Control parameters representing the degree of balance, The value ranges from 100 to 300. This indicates the number of reflective elements in the omnidirectional intelligent reflective surface. Indicates the imaginary part. Represents the gamma function. Denotes the first Gaussian hypergeometric function. This represents the second Gaussian hypergeometric function.

[0017] The cumulative distribution function of the refracted user-cascaded channel is obtained according to equation (2). : (2)

[0018]

[0019] This represents the characteristic expression of the refracting user-cascaded channel. It is the number of refractive elements in the omnidirectional intelligent reflective surface. It is the fading parameter from the omnidirectional intelligent reflector to the refracting user channel. The value ranges from 2 to 4. Represents the third Gaussian hypergeometric function. This represents the fourth Gaussian hypergeometric function.

[0020] (3) Determine the interruption probability and diversity order

[0021] Determine the interruption probability of the reflecting user according to formula (3). :

[0022] (3)

[0023]

[0024]

[0025]

[0026]

[0027]

[0028]

[0029]

[0030] in, These are the Gauss-Chebyshev approximation parameters. The value ranges from 100 to 150. It is the transmit signal-to-noise ratio. The value ranges from 10 to 50 dB. It is the power allocation factor for reflected users. The value is , It is the power allocation factor for the refracting user. The value is , It is the target signal-to-noise ratio of the reflected user. It reflects the user's target signal-to-noise ratio. It is the distance of the direct link from the base station to the reflecting user. It is the path loss index. The value ranges from 2 to 4. These are the fading parameters of the direct link channel from the base station to the reflecting user. The value ranges from 2 to 4.

[0031] Determine the interruption probability of the refracting user according to formula (4). :

[0032] (4)

[0033]

[0034]

[0035] in, It is the distance from the base station to the omnidirectional intelligent reflector. It is the distance from the omnidirectional intelligent reflective surface to the user.

[0036] Determine the diversity order of the reflecting user according to equation (5). :

[0037] (5)

[0038] Determine the diversity order of the refracting user according to formula (6). :

[0039] (6)

[0040] (4) Determine the system throughput

[0041] Determine the system throughput according to formula (7) :

[0042] (7)

[0043] in, This represents the threshold rate for reflecting users. The value ranges from 0.5 to 1 bit / s / Hz. To reflect the user's threshold rate, The value ranges from 0.5 to 1 bit / s / Hz.

[0044] (5) Constructing an omnidirectional intelligent reflective surface element allocation method

[0045] Construct an omnidirectional intelligent reflective surface element allocation method according to formula (8):

[0046] (8)

[0047]

[0048] The optimization conditions are as follows:

[0049]

[0050]

[0051]

[0052] in, The total number of components in the omnidirectional intelligent reflective surface is determined by a one-dimensional linear search to find the optimal component allocation range. .

[0053] In step (2) of the present invention, the formula (1) is described as follows: These are the fading parameters of the channel from the base station to the omnidirectional intelligent reflector. The optimal value is 3.3. Fading parameters from the omnidirectional intelligent reflector to the reflecting user channel. The optimal value is 3. It is a parameter for controlling complexity. The optimal value is 0.15. It is a control parameter for balance. The optimal value is 200. In equation (2) of step (2), the stated... Fading parameters from the omnidirectional intelligent reflector to the refracting user channel. The optimal value is 3.3.

[0054] In step (3) of the present invention, the stated These are the fading parameters of the direct link channel from the base station to the reflecting user. The optimal value for is 3.4. It is the power allocation factor for reflected users. The optimal value for is 0.7. It is the power allocation factor for the refracting user. The optimal value for is 0.3. It is the distance of the direct link from the base station to the reflecting user. The value is 7m. It is the path loss index. The optimal value is 2.3. These are the Gauss-Chebyshev approximation parameters. The optimal value is 125.

[0055] In step (3) of the present invention, the formula (4) is described It is the distance from the base station to the omnidirectional intelligent reflector. The value is 10m. It is the distance from the omnidirectional intelligent reflective surface to the user. The value is 10m.

[0056] In step (4) of the present invention, the formula (7) is described This represents the threshold rate for reflecting users. The optimal value is 0.75 bit / s / Hz. To reflect the user's threshold rate, The optimal value is 0.75 bit / s / Hz.

[0057] In step (5) of the present invention, the formula (8) is described This indicates the total number of components in the omnidirectional intelligent reflective surface. The value ranges from 30 to 60.

[0058] This invention employs an omnidirectional intelligent reflector-assisted non-orthogonal multiple access system, establishes a reasonable transmission signal model, and proposes an information transmission method for such a system. Utilizing limited spectrum resources, it improves the system's interruption performance and diversity order. By constructing an omnidirectional intelligent reflector element allocation method, it achieves higher system throughput. Comparative simulation experiments demonstrate that the interruption performance of this invention is superior to that of the comparative experiments. Compared to the comparative experiments, the interruption probability of reflective users is reduced by 0.23042–0.000001536, and the interruption probability of refracted users is reduced by 0.32171–0.00001548. Therefore, the interruption performance and system throughput of this invention are superior to those of the comparative experiments. This invention has advantages such as reasonable transmission design, ease of implementation, good interruption performance, and high system throughput, and can be used in the field of wireless communication technology. Attached Figure Description

[0059] Figure 1 This is a process flow diagram of Embodiment 1 of the present invention.

[0060] Figure 2 This is a comparative simulation curve of Embodiment 1 of the present invention. Detailed Implementation

[0061] The present invention will be further described below with reference to the accompanying drawings and specific embodiments, but the present invention is not limited to the following embodiments.

[0062] Example 1

[0063] exist Figure 1 In this embodiment, the information transmission method of the omnidirectional intelligent reflector-assisted non-orthogonal multiple access system consists of the following steps:

[0064] (1) Constructing a transmission signal model

[0065] The transmission signal model consists of a base station, an omnidirectional intelligent reflector, reflecting users, and refracting users. Each base station, reflecting user, and refracting user is equipped with a single antenna. The omnidirectional intelligent reflector uses a mode-switching protocol to construct the transmission signal model. The base station transmits superimposed signals to STAR-RIS. STAR-RIS forwards superimposed signals to both reflecting and refracting users. The base station transmits the required signal to the reflecting user. .

[0066] (2) Determine the cumulative distribution function of the cascaded channel

[0067] The method for determining the cumulative distribution function of the cascaded channel follows Equation (1) published in NC Beaulieu's "An infinite series for the computation of the complementary probability distribution function of a sum of independent random variables and its application to the sum of rayleigh random variables, vol. 38, no. 9, pp. 1463–1474, Sep. 1990", to obtain the cumulative distribution function F of the cascaded channel of the reflecting user. X (x):

[0068] (1)

[0069]

[0070]

[0071]

[0072]

[0073] in, This represents the fading parameters of the channel from the base station to the omnidirectional intelligent reflector. The value ranges from 2 to 4, in this embodiment. The value is 3.3. This represents the fading parameters from the omnidirectional intelligent reflector to the reflecting user channel. The value ranges from 2 to 4, in this embodiment. The value of is 3. The characteristic expression representing the reflected user concatenated channel, The control parameters representing complexity The value ranges from 0.1 to 0.5 in this embodiment. The value is 0.15. Control parameters representing the degree of balance, The value ranges from 100 to 300 in this embodiment. The value is 200. This indicates the number of reflective elements in the omnidirectional intelligent reflective surface. Let j represent the imaginary part, and j represent the imaginary number. Represents the gamma function. Denotes the first Gaussian hypergeometric function. This represents the second Gaussian hypergeometric function.

[0074] The cumulative distribution function of the refracted user-cascaded channel is obtained according to equation (2). :

[0075] (2)

[0076]

[0077] in, This represents the characteristic expression of the refracting user-cascaded channel. It is the number of refractive elements in the omnidirectional intelligent reflective surface. It is the fading parameter from the omnidirectional intelligent reflector to the refracting user channel. The value ranges from 2 to 4, as in this embodiment. The value is 3.3. Represents the third Gaussian hypergeometric function. This represents the fourth Gaussian hypergeometric function.

[0078] (3) Determine the interruption probability and diversity order

[0079] Determine the interruption probability of the reflecting user according to formula (3). :

[0080] (3)

[0081]

[0082]

[0083]

[0084]

[0085]

[0086]

[0087]

[0088] in, These are the Gauss-Chebyshev approximation parameters. The value ranges from 100 to 150 in this embodiment. The value is 125. It is the transmit signal-to-noise ratio. The value ranges from 10 to 50 dB in this embodiment. The value is 30dB. It is the power allocation factor for reflected users. In this embodiment The value is 0.7. It is the power allocation factor for the refracting user. The value is In this embodiment The value is 0.3. It is the target signal-to-noise ratio of the reflected user. It reflects the user's target signal-to-noise ratio. It is the distance of the direct link from the base station to the reflecting user. The value is 7m. It is the path loss index. The value ranges from 2 to 4, as in this embodiment. The value is 2.3. These are the fading parameters of the direct link channel from the base station to the reflecting user. The value ranges from 2 to 4, as in this embodiment. The value is 3.4.

[0089] Determine the interruption probability of the refracting user according to formula (4). :

[0090] (4)

[0091]

[0092]

[0093] in, It is the distance from the base station to the omnidirectional intelligent reflector. It is the distance from the omnidirectional intelligent reflective surface to the user.

[0094] Determine the diversity order of the reflecting user according to equation (5). :

[0095] (5)

[0096] Determine the diversity order of the refracting user according to formula (6). :

[0097] (6)

[0098] (4) Determine the system throughput

[0099] Determine the system throughput according to formula (7) :

[0100] (7)

[0101] in, This represents the threshold rate for reflecting users. The value ranges from 0.5 to 1 bit / s / Hz. In this embodiment... The value is 0.75 bit / s / Hz. To reflect the user's threshold rate, The values ​​range from 0.5 to 1 bit / s / Hz in this embodiment. The value is 0.75 bit / s / Hz.

[0102] (5) Constructing an omnidirectional intelligent reflective surface element allocation method

[0103] Construct an omnidirectional intelligent reflective surface element allocation method according to formula (8):

[0104] (8)

[0105]

[0106] The optimization conditions are as follows:

[0107]

[0108]

[0109]

[0110] in, It is the total number of components in the omnidirectional intelligent reflective surface. The value ranges from 30 to 60 in this embodiment. The value is 40, and the optimal component allocation interval is obtained through a one-dimensional linear search. .

[0111] A method for information transmission in an omnidirectional intelligent reflective surface-assisted nonorthogonal multiple access system.

[0112] Example 2

[0113] The information transmission method of the omnidirectional intelligent reflector-assisted nonorthogonal multiple access system in this embodiment consists of the following steps:

[0114] (1) Constructing a transmission signal model

[0115] The steps are the same as in Example 1.

[0116] (2) Determine the cumulative distribution function of the cascaded channel

[0117] In equation (1) of this step, where This represents the fading parameters of the channel from the base station to the omnidirectional intelligent reflector. The value ranges from 2 to 4, in this embodiment. The value of is 2. This represents the fading parameters from the omnidirectional intelligent reflector to the reflecting user channel. The value ranges from 2 to 4, in this embodiment. The value of is 2. The characteristic expression representing the reflected user concatenated channel, The control parameters representing complexity The value ranges from 0.1 to 0.5 in this embodiment. The value is 0.1. Control parameters representing the degree of balance, The value ranges from 100 to 300 in this embodiment. The value is 100. This indicates the number of reflective elements in the omnidirectional intelligent reflective surface. Indicates the imaginary part. Represents the gamma function. Denotes the first Gaussian hypergeometric function. This represents the second Gaussian hypergeometric function.

[0118] In equation (1) of this step, where This represents the characteristic expression of the refracting user-cascaded channel. It is the number of refractive elements in the omnidirectional intelligent reflective surface. It is the fading parameter from the omnidirectional intelligent reflector to the refracting user channel. The value ranges from 2 to 4, as in this embodiment. The value is 2. Represents the third Gaussian hypergeometric function. This represents the fourth Gaussian hypergeometric function.

[0119] The other steps in this procedure are the same as in Example 1.

[0120] (3) Determine the interruption probability and diversity order

[0121] In equation (3) of this step, where These are the Gauss-Chebyshev approximation parameters. The value ranges from 100 to 150 in this embodiment. The value is 100. It is the transmit signal-to-noise ratio. The value ranges from 10 to 50 dB in this embodiment. The value is 10dB. It is the power allocation factor for reflected users. In this embodiment The value is 0.1. It is the power allocation factor for the refracting user. The value is In this embodiment The value is 0.9. It is the target signal-to-noise ratio of the reflected user. It reflects the user's target signal-to-noise ratio. It is the distance of the direct link from the base station to the reflecting user. The value is 7m. It is the path loss index. The value ranges from 2 to 4, as in this embodiment. The value is 2. These are the fading parameters of the direct link channel from the base station to the reflecting user. The value ranges from 2 to 4, as in this embodiment. The value is 2.

[0122] The other steps in this procedure are the same as in Example 1.

[0123] (4) Determine the system throughput

[0124] In equation (4) of this step, where This represents the threshold rate for reflecting users. The value ranges from 0.5 to 1 bit / s / Hz. In this embodiment... The value is 0.5 bit / s / Hz. To reflect the user's threshold rate, The values ​​range from 0.5 to 1 bit / s / Hz in this embodiment. The value is 0.5 bit / s / Hz.

[0125] The other steps in this procedure are the same as in Example 1.

[0126] (5) Constructing an omnidirectional intelligent reflective surface element allocation method

[0127] In this step, where It is the total number of components in the omnidirectional intelligent reflective surface. The value ranges from 30 to 60 in this embodiment. The value is set to 30, and the optimal component allocation interval is obtained through a one-dimensional linear search. .

[0128] A method for information transmission in an omnidirectional intelligent reflective surface-assisted nonorthogonal multiple access system.

[0129] Example 3

[0130] The information transmission method of the omnidirectional intelligent reflector-assisted nonorthogonal multiple access system in this embodiment consists of the following steps:

[0131] (1) Constructing a transmission signal model

[0132] The steps are the same as in Example 1.

[0133] (2) Determine the cumulative distribution function of the cascaded channel

[0134] In equation (1) of this step, where This represents the fading parameters of the channel from the base station to the omnidirectional intelligent reflector. The value ranges from 2 to 4, in this embodiment. The value of is 4. This represents the fading parameters from the omnidirectional intelligent reflector to the reflecting user channel. The value ranges from 2 to 4, in this embodiment. The value of is 4. The characteristic expression representing the reflected user concatenated channel, The control parameters representing complexity The value ranges from 0.1 to 0.5 in this embodiment. The value is 0.5. Control parameters representing the degree of balance, The value ranges from 100 to 300; in this embodiment, the value is 300. This indicates the number of reflective elements in the omnidirectional intelligent reflective surface. Indicates the imaginary part. Represents the gamma function. Denotes the first Gaussian hypergeometric function. This represents the second Gaussian hypergeometric function.

[0135] In equation (1) of this step, where This represents the characteristic expression of the refracting user-cascaded channel. It is the number of refractive elements in the omnidirectional intelligent reflective surface. It is the fading parameter from the omnidirectional intelligent reflector to the refracting user channel. The value ranges from 2 to 4, as in this embodiment. The value is 4. Represents the third Gaussian hypergeometric function. This represents the fourth Gaussian hypergeometric function.

[0136] The other steps in this procedure are the same as in Example 1.

[0137] (3) Determine the interruption probability and diversity order

[0138] In equation (3) of this step, where These are the Gauss-Chebyshev approximation parameters. The value ranges from 100 to 150 in this embodiment. The value is 150. It is the transmit signal-to-noise ratio. The value ranges from 10 to 50 dB in this embodiment. The value is 50dB. It is the power allocation factor for reflected users. In this embodiment The value is 0.9. It is the power allocation factor for the refracting user. The value is In this embodiment The value is 0.1. It is the target signal-to-noise ratio of the reflected user. It reflects the user's target signal-to-noise ratio. It is the distance of the direct link from the base station to the reflecting user. The value is 7m. It is the path loss index. The value ranges from 2 to 4, as in this embodiment. The value is 4. These are the fading parameters of the direct link channel from the base station to the reflecting user. The value ranges from 2 to 4, as in this embodiment. The value is 4.

[0139] The other steps in this procedure are the same as in Example 1.

[0140] (4) Determine the system throughput

[0141] In equation (4) of this step, where This represents the threshold rate for reflecting users. The value ranges from 0.5 to 1 bit / s / Hz. In this embodiment... The value is 1 bit / s / Hz. To reflect the user's threshold rate, The values ​​range from 0.5 to 1 bit / s / Hz in this embodiment. The value is 1 bit / s / Hz.

[0142] The other steps in this procedure are the same as in Example 1.

[0143] (5) Constructing an omnidirectional intelligent reflective surface element allocation method

[0144] In this step, where It is the total number of components in the omnidirectional intelligent reflective surface. The value ranges from 30 to 60 in this embodiment. The value is set to 60, and the optimal component allocation interval is obtained through a one-dimensional linear search. .

[0145] A method for information transmission in an omnidirectional intelligent reflective surface-assisted nonorthogonal multiple access system.

[0146] To verify the beneficial effects of the present invention, the inventors conducted a comparative simulation experiment using the information transmission method of the omnidirectional intelligent reflector-assisted non-orthogonal multiple access system of Embodiment 1 of the present invention and J. Xu, Y. Liu, X. Mu, R. Schober and HVPoor, "STAR-RISs: A Correlated T&R Phase-Shift Model and Practical Phase-Shift Configuration Strategies," in IEEE Journal of Selected Topics in Signal Processing, vol. 16, no. 5, pp. 1097-1111, Aug. 2022 (hereinafter referred to as the comparative experiment). The experimental results are shown in […]. Figure 2 ,exist Figure 2 The horizontal axis represents the transmit signal-to-noise ratio, and the vertical axis represents the interruption probability. Figure 2 It can be seen that, in When the transmit signal-to-noise ratio of each transmission cycle is 10dB to 50dB, compared with the comparative experiment, the interruption probability of the reflected user is reduced by 0.23042 to 0.000001536, and the interruption probability of the refracted user is reduced by 0.32171 to 0.00001548. The interruption performance of the present invention is better than that of the comparative experiment.

Claims

1. An information transmission method for an omnidirectional intelligent reflective surface-assisted non-orthogonal multiple access system, characterized in that... It consists of the following steps: (1) Constructing a transmission signal model The transmission signal model consists of a base station, an omnidirectional intelligent reflector, reflecting users, and refracting users. Each base station, reflecting user, and refracting user is equipped with a single antenna. The omnidirectional intelligent reflector uses a mode-switching protocol to construct the transmission signal model. The base station transmits superimposed signals to STAR-RIS. STAR-RIS forwards superimposed signals to both reflecting and refracting users. The base station transmits the required signal to the reflecting user. ; (2) Determine the cumulative distribution function of the cascaded channel The cumulative distribution function of the reflected user concatenated channel is obtained according to equation (1). : （1） in, This represents the fading parameters of the channel from the base station to the omnidirectional intelligent reflector. The value ranges from 2 to 4. This represents the fading parameters from the omnidirectional intelligent reflector to the reflecting user channel. The value ranges from 2 to 4. The characteristic expression representing the reflected user concatenated channel, The control parameters representing complexity The value ranges from 0.1 to 0.

5. Control parameters representing the degree of balance, The value ranges from 100 to 300. This indicates the number of reflective elements in the omnidirectional intelligent reflective surface. Indicates the imaginary part. Represents the gamma function. Represents the first Gaussian hypergeometric function. Represents the second Gaussian hypergeometric function; The cumulative distribution function of the refracted user-cascaded channel is obtained according to equation (2). : （2） This represents the characteristic expression of the refracting user-cascaded channel. It is the number of refractive elements in the omnidirectional intelligent reflective surface. It is the fading parameter from the omnidirectional intelligent reflector to the refracting user channel. The value ranges from 2 to 4. Represents the third Gaussian hypergeometric function. Represents the fourth Gaussian hypergeometric function; (3) Determine the interruption probability and diversity order Determine the interruption probability of the reflecting user according to formula (3). : （3） in, These are the Gauss-Chebyshev approximation parameters. The value ranges from 100 to 150. It is the transmit signal-to-noise ratio. The value ranges from 10 to 50 dB. It is the power allocation factor for reflected users. The value is , It is the power allocation factor for the refracting user. The value is , It is the target signal-to-noise ratio of the reflected user. It reflects the user's target signal-to-noise ratio. It is the distance of the direct link from the base station to the reflecting user. It is the path loss index. The value ranges from 2 to 4. These are the fading parameters of the direct link channel from the base station to the reflecting user. The value ranges from 2 to 4; Determine the interruption probability of the refracting user according to formula (4). : （4） in, It is the distance from the base station to the omnidirectional intelligent reflector. It is the distance from the omnidirectional intelligent reflective surface to the user. Determine the diversity order of the reflecting user according to equation (5). : （5） Determine the diversity order of the refracting user according to formula (6). : （6） (4) Determine the system throughput Determine the system throughput according to formula (7) : （7） in, This represents the threshold rate for reflecting users. The value ranges from 0.5 to 1 bit / s / Hz. To reflect the user's threshold rate, The value ranges from 0.5 to 1 bit / s / Hz; (5) Constructing an omnidirectional intelligent reflective surface element allocation method Construct an omnidirectional intelligent reflective surface element allocation method according to formula (8): （8） The optimization conditions are as follows: in, The total number of components in the omnidirectional intelligent reflective surface is determined by a one-dimensional linear search to find the optimal component allocation range. .

2. The information transmission method of the omnidirectional intelligent reflective surface-assisted non-orthogonal multiple access system according to claim 1, characterized in that: In step (2) of equation (1), the said These are the fading parameters of the channel from the base station to the omnidirectional intelligent reflector. The value is 3.

3. Fading parameters from the omnidirectional intelligent reflector to the reflecting user channel. The value is 3, as stated It is a parameter for controlling complexity. The value is 0.

15. It is a control parameter for balance. The value is 200; in equation (2) of step (2), the... Fading parameters from the omnidirectional intelligent reflector to the refracting user channel. The value is 3.

3.

3. The information transmission method of the omnidirectional intelligent reflective surface-assisted non-orthogonal multiple access system according to claim 1, characterized in that: In step (3) of equation (3), the said These are the fading parameters of the direct link channel from the base station to the reflecting user. The value is 3.

4. It is the power allocation factor for reflected users. The value is 0.

7. It is the power allocation factor for the refracting user. The value is 0.

3. It is the distance of the direct link from the base station to the reflecting user. The value is 7m. It is the path loss index. The value is 2.

3. These are the Gauss-Chebyshev approximation parameters. The value is 125; In equation (4) of step (3), the said It is the distance from the base station to the omnidirectional intelligent reflector. The value is 10m. It is the distance from the omnidirectional intelligent reflective surface to the user. The value is 10m.

4. The information transmission method of the omnidirectional intelligent reflective surface-assisted non-orthogonal multiple access system according to claim 1, characterized in that: In step (4) of equation (7), the said This represents the threshold rate for reflecting users. The value is 0.75 bit / s / Hz. To reflect the user's threshold rate, The value is 0.75 bit / s / Hz.

5. The information transmission method of the omnidirectional intelligent reflective surface-assisted non-orthogonal multiple access system according to claim 1, characterized in that: In step (5) of equation (8), the said This indicates the total number of components in the omnidirectional intelligent reflective surface. The value ranges from 30 to 60.

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