CN104467935B - The data transmission method and device of full duplex base station - Google Patents

Abstract

The present invention provides a data transmission method and device for a full-duplex base station. The method includes: acquiring channel information of a full-duplex secure communication system; An optimization model of a duplex secure communication system; according to the optimization model, the optimal information beamforming assignment vector and the optimal interference beamforming autocorrelation matrix are obtained; according to the optimal information beamforming assignment vector and the optimal interference beamforming autocorrelation matrix, Perform information beamforming and interference beamforming, and perform data transmission based on information beamforming and interference beamforming. The above method can realize simultaneous self-interference cancellation and uplink and downlink secure data transmission of the full-duplex base station, and can efficiently solve the beamforming parameters to ensure that the full-duplex base station meets the different signal-to-noise ratio requirements of all users with the minimum transmission power.

Description

Data transmission method and device for full-duplex base station

technical field

The invention relates to the technical field of full-duplex secure communication, relates to beamforming design in a full-duplex wireless network, and in particular to a data transmission method and device for a full-duplex base station.

Background technique

In wireless communication systems, full-duplex technology can theoretically double the huge potential of spectrum utilization and achieve more flexible spectrum use. Full-duplex technology at the same frequency and at the same time has gradually become a research hotspot. Recently, with the development of device technology and signal processing technology, self-interference cancellation technology in full-duplex wireless communication equipment has been in-depth theoretical research and system experiments, making the practical application of full-duplex wireless communication systems more and more possible .

On the one hand, the challenging problem faced by full-duplex technology is self-interference cancellation. Since the power difference between the received and transmitted signals is very large, the full-duplex wireless communication system faces serious self-interference (for example, up to 100dB), so the primary problem in realizing the application of full-duplex technology is the cancellation of self-interference. Since the signal needs to pass through the digital-to-analog conversion circuit in the process of sending and receiving, the actual self-interference signal is unknown and non-linear. Any self-interference cancellation model needs to establish a nonlinear model of the self-interference signal first, and be able to predict the distortion of the signal, and then achieve the purpose of self-interference cancellation by means of signal compensation at the receiving end. It is impossible for any existing technology to achieve perfect self-interference cancellation. Therefore, the suppression of residual self-interference must also be considered when realizing full-duplex communication. When full-duplex equipment has multiple antennas, research on how to use beamforming technology to suppress residual self-interference will further promote the application of full-duplex systems.

On the other hand, with the popularization of mobile communications and the rapid development of mobile Internet services, wireless networks have become the target of hackers. The openness of the network and the characteristics of wireless transmission make security one of the core issues of the entire mobile communication system. The physical layer security of the communication system is aimed at using the channel characteristics to transmit confidential information. With the development of beamforming technology, simultaneous information beamforming and interference beamforming has gradually become the main research direction of physical layer security communication. This technology requires the information sending end to design the covariance matrix of information and interference at the same time. Its physical meaning is to make the beam direction of the signal parallel to the channel of the legitimate receiver as much as possible and perpendicular to the channel of the eavesdropper; at the same time, the interference The direction of transmission should be as parallel as possible to the eavesdropper's channel and perpendicular to the legitimate receiver's channel. A full-duplex system can achieve single self-interference cancellation or physical layer security through beamforming technology. However, considering self-interference cancellation and physical layer security at the same time, the system design problems to be solved are usually non-convex complex problems, and there is no work related to such problems so far.

In view of this, how to design information beamforming and interference beamforming in the full-duplex base station to achieve simultaneous self-interference cancellation and uplink and downlink secure data transmission of the full-duplex base station, and to ensure that the full-duplex base station satisfies all Different signal-to-noise ratio requirements of users have become a technical problem that needs to be solved at present.

Contents of the invention

Aiming at the defects in the prior art, the present invention provides a data transmission method and device for a full-duplex base station. Through the design of information beamforming and interference beamforming beamforming, simultaneous self-interference cancellation and Uplink and downlink secure data transmission, and can efficiently solve the beamforming parameters to ensure that the full-duplex base station meets the different signal-to-noise ratio requirements of all users with the minimum transmission power.

In a first aspect, the present invention provides a data transmission method for a full-duplex base station, including:

Obtain channel information of a full-duplex secure communication system;

Constructing an optimization model of a full-duplex secure communication system according to the channel information and preset first, second, third, and fourth thresholds;

According to the optimization model, an optimal information beamforming assignment vector and an optimal interference beamforming autocorrelation matrix are obtained;

performing information beamforming and interference beamforming according to the optimal information beamforming assignment vector and the optimal interference beamforming autocorrelation matrix, and performing data transmission based on the information beamforming and interference beamforming;

Wherein, the preset first threshold is the minimum signal-to-noise ratio threshold of information received by the full-duplex base station, and the preset second threshold is the maximum signal-to-noise ratio when the lth eavesdropper eavesdrops on the information received by the full-duplex base station Ratio threshold, the preset third threshold is the minimum signal-to-noise ratio threshold of information sent by the full-duplex base station, and the preset fourth threshold is the maximum signal-to-noise ratio when the lth eavesdropper eavesdrops on the information sent by the full-duplex base station Noise Ratio Threshold, L is the number of eavesdroppers, and L is a positive integer.

Optionally, the channel information of the full-duplex secure communication system includes:

Channel information from a full-duplex base station to a confidential information sending terminal and a classified information receiving terminal, channel information from the confidential information sending terminal to the classified information receiving terminal, from the full-duplex base station to an eavesdropper terminal channel information, and channel information from the confidential information sending terminal to the eavesdropper terminal.

Optionally, the optimization model P1 of the full-duplex secure communication system is:

Wherein, s is the information beamforming assignment vector;

W is the autocorrelation matrix of the interference transmission;

SINR _b (s, W) is the signal-to-noise ratio of the full-duplex base station receiving information, which is calculated by the first formula;

SINR _r (s, W) is the signal-to-noise ratio of the information sent by the full-duplex base station, which is calculated by the second formula;

SINR _{e, b, l} (s, W) is the signal-to-noise ratio when the lth eavesdropper eavesdrops on the information received by the full-duplex base station, which is calculated by the third formula;

SINR _{e, r, l} (s, W) is the signal-to-noise ratio when the lth eavesdropper eavesdrops on the information sent by the full-duplex base station, which is calculated by the fourth formula;

γ _b is the preset first threshold, γ _{e, b, l} is the preset second threshold, γ _r is the preset third threshold, γ _{e, r, l} is the preset fourth threshold;

Among them, the first formula is:

R _b is the independent and identical distribution of the received antenna noise from the full-duplex base station obtained in , P _t is the minimum transmit power of the confidential information sending terminal, is the channel matrix of the full-duplex base station and the confidential information sending terminal, is the fading self-interference channel matrix of the full-duplex base station, and the remaining self-interference channel matrix of the full-duplex base station is 0≤ρ≤1 is the self-interference cancellation parameter, N is the number of transmitting antennas of the full-duplex base station, M is the number of receiving antennas of the full-duplex base station, and M and N are both integers greater than 1;

The second formula is:

is the channel matrix of the full-duplex base station and the confidential information receiving terminal, g _r is the channel matrix of the confidential information sending terminal and the confidential information receiving terminal, is the independent and identical distribution of the antenna noise received from the confidential information receiving terminal obtained from

The third formula is:

The channel matrix between the terminal and the eavesdropper for sending confidential information, is the channel matrix between the full-duplex base station and the eavesdropper, is the independent and identically distributed noise from the receiving antenna of the l-th eavesdropper obtained from

The fourth formula is:

Optionally, the obtaining an optimal information beamforming assignment vector and an optimal interference beamforming autocorrelation matrix according to the optimization model includes:

Converting the optimization model into a convex optimization problem by using semidefinite relaxation technology, and obtaining the information beamforming autocorrelation matrix S ^* and the interference beamforming autocorrelation matrix W ^* ;

Compare the size of Rank(S ^* )=J and 1;

When Rank(S ^* )=J=1, determine S ^* and W ^* as the optimal information beamforming autocorrelation matrix S' ^* and the optimal interference beamforming autocorrelation matrix W'^*;

When Rank(S ^* )=J>1, according to S ^* and W ^* , the optimization model is transformed into a Lagrangian dual problem;

According to the Lagrangian dual problem, the optimal information beamforming autocorrelation matrix S' ^* and the optimal interference beamforming autocorrelation matrix W' ^* are obtained;

Singular value decomposition is performed on S′ ^* to obtain the optimal information beamforming assignment vector s′ ^* .

In a second aspect, the present invention provides a data transmission device for a full-duplex base station, including:

An information acquisition module, configured to acquire channel information of a full-duplex secure communication system;

A model building module, configured to construct an optimization model of a full-duplex secure communication system according to the channel information and preset first, second, third, and fourth thresholds;

An optimal vector and matrix acquisition module, configured to acquire an optimal information beamforming assignment vector and an optimal interference beamforming autocorrelation matrix according to the optimization model;

A data transmission module, configured to perform information beamforming and interference beamforming according to the optimal information beamforming assignment vector and the optimal interference beamforming autocorrelation matrix, and perform data transmission based on the information beamforming and interference beamforming;

Wherein, the preset first threshold is the minimum signal-to-noise ratio threshold of information received by the full-duplex base station, and the preset second threshold is the maximum signal-to-noise ratio when the lth eavesdropper eavesdrops on the information received by the full-duplex base station Ratio threshold, the preset third threshold is the minimum signal-to-noise ratio threshold of information sent by the full-duplex base station, and the preset fourth threshold is the maximum signal-to-noise ratio when the lth eavesdropper eavesdrops on the information sent by the full-duplex base station Noise Ratio Threshold, L is the number of eavesdroppers, and L is a positive integer.

Optionally, the channel information of the full-duplex secure communication system includes:

Channel information from a full-duplex base station to a confidential information sending terminal and a classified information receiving terminal, channel information from the confidential information sending terminal to the classified information receiving terminal, from the full-duplex base station to an eavesdropper terminal channel information, and channel information from the confidential information sending terminal to the eavesdropper terminal.

Optionally, the optimization model P1 of the full-duplex secure communication system is:

Wherein, s is the information beamforming assignment vector;

W is the autocorrelation matrix of the interference transmission;

SINR _b (s, W) is the signal-to-noise ratio of the full-duplex base station receiving information, which is calculated by the first formula;

SINR _r (s, W) is the signal-to-noise ratio of the information sent by the full-duplex base station, which is calculated by the second formula;

SINR _{e, b, l} (s, W) is the signal-to-noise ratio when the lth eavesdropper eavesdrops on the information received by the full-duplex base station, which is calculated by the third formula;

SINR _{e, r, l} (s, W) is the signal-to-noise ratio when the lth eavesdropper eavesdrops on the information sent by the full-duplex base station, which is calculated by the fourth formula;

γ _b is the preset first threshold, γ _{e, b, l} is the preset second threshold, γ _r is the preset third threshold, γ _{e, r, l} is the preset fourth threshold;

Among them, the first formula is:

R _b is the independent and identical distribution of the received antenna noise from the full-duplex base station obtained in , P _t is the minimum transmit power of the confidential information sending terminal, is the channel matrix of the full-duplex base station and the confidential information sending terminal, is the fading self-interference channel matrix of the full-duplex base station, and the remaining self-interference channel matrix of the full-duplex base station is 0≤ρ≤1 is the self-interference cancellation parameter, N is the number of transmitting antennas of the full-duplex base station, M is the number of receiving antennas of the full-duplex base station, and M and N are both integers greater than 1;

The second formula is:

is the channel matrix of the full-duplex base station and the confidential information receiving terminal, g _r is the channel matrix of the confidential information sending terminal and the confidential information receiving terminal, is the independent and identical distribution of the antenna noise received from the confidential information receiving terminal obtained from

The third formula is:

The channel matrix between the terminal and the eavesdropper for sending confidential information, is the channel matrix between the full-duplex base station and the eavesdropper, is the independent and identically distributed noise from the receiving antenna of the l-th eavesdropper obtained from

The fourth formula is:

Optionally, the optimal vector and matrix acquisition module is specifically used for

Converting the optimization model into a convex optimization problem by using semidefinite relaxation technology, and obtaining the information beamforming autocorrelation matrix S ^* and the interference beamforming autocorrelation matrix W ^* ;

Compare the size of Rank(S ^* )=J and 1;

When Rank(S ^* )=J=1, determine S ^* and W ^* as the optimal information beamforming autocorrelation matrix S' ^* and the optimal interference beamforming autocorrelation matrix W'^*;

When Rank(S ^* )=J>1, according to S ^* and W ^* , the optimization model is transformed into a Lagrangian dual problem;

According to the Lagrangian dual problem, the optimal information beamforming autocorrelation matrix S' ^* and the optimal interference beamforming autocorrelation matrix W' ^* are obtained;

Singular value decomposition is performed on S′ ^* to obtain the optimal information beamforming assignment vector s′ ^* .

It can be seen from the above technical solution that the data transmission method and device of the full-duplex base station of the present invention, by obtaining the channel information of the full-duplex secure communication system, according to the channel information and the preset first, second, third, and fourth thresholds, construct An optimization model of a full-duplex secure communication system. According to the optimization model, the optimal information beamforming assignment vector and the optimal interference beamforming autocorrelation matrix are obtained. According to the optimal information beamforming assignment vector and the optimal interference beamforming autocorrelation matrix , carry out information beamforming and interference beamforming, and perform data transmission based on information beamforming and interference beamforming, thus, it is possible to realize simultaneous self-interference cancellation and uplink and downlink secure data transmission of a full-duplex base station, and can efficiently solve The beamforming parameters ensure that the full-duplex base station meets the different signal-to-noise ratio requirements of all users with the minimum transmit power.

Description of drawings

Fig. 1 is the schematic diagram of full-duplex safety communication system of the present invention;

FIG. 2 is a schematic flowchart of a data transmission method for a full-duplex base station provided in the first embodiment of the present invention;

FIG. 3 is an algorithm flow chart of information beamforming and interference beamforming in a full-duplex base station provided by the first embodiment of the present invention;

FIG. 4 is a basic implementation flowchart of a full-duplex base station based on beamforming provided in the first embodiment of the present invention;

5 is a schematic structural diagram of a data transmission device of a full-duplex base station provided in a second embodiment of the present invention;

Fig. 6 is the transmission power P _b curve of the full-duplex base station under different P _t situations of the technical solution provided by the embodiment of the present invention;

Fig. 7 is the transmission power P _b curve of the full-duplex base station under different γ _b conditions of the technical solution provided by the embodiment of the present invention;

Fig. 8 is the transmission power P _b curve of the full-duplex base station under different γ _r conditions of the technical solution provided by the embodiment of the present invention.

detailed description

In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments It is only some embodiments of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

Fig. 1 shows the schematic diagram of the model of the full-duplex safety communication system of the present invention, before carrying out the technical scheme of the present invention, this full-duplex safety communication system has been established, as shown in Figure 1, the full-duplex safety communication of the present invention The system is a radio system. In the full-duplex secure communication system of the present invention, the full-duplex base station FD-BS receives confidential information from the confidential information sending terminal Tx, and simultaneously sends confidential data to the confidential information receiving terminal Rx, FD-BS has multiple antennas: the numbers of receiving and transmitting antennas are set to M and N respectively, and M and N are integers greater than 1; all nodes work in the same frequency band; due to the existence of self-interference, full-duplex base stations need to first Eliminate self-interference, and at the same time, due to the existence of multiple eavesdroppers Eves, the full-duplex base station needs to take into account the security of receiving information and the security of sending information; the full-duplex base station simultaneously receives information, sends information and interferes, the basic process is : In a time slot, the base station receives confidential information from Tx, sends confidential information to Rx at the same time, and implements interference to Eves at the same time;

The signal sent by the full-duplex base station FD-BS is:

x _b =s+w

Among them, s is the information beamforming assignment vector, is the transmitted interference signal, W is the autocorrelation matrix of the interference transmission;

The signal received by the full-duplex base station FD-BS can be expressed as:

Among them, υ _t is the signal sent by the confidential information sending terminal Tx, z _b is the noise of the receiving antenna of the full-duplex base station FD-BS, P _t is the minimum transmit power of Tx, is the channel matrix of FD-BS and Tx, is the FD-BS fading self-interference channel matrix, and the residual self-interference channel matrix of FD-BS is 0≤ρ≤1 is the self-interference cancellation parameter;

The signal received by the confidential information receiving terminal Rx can be expressed as:

in, is the channel matrix of FD-BS and Rx, g _r is the channel matrix of Tx and Rx, z _r is the Rx antenna noise;

The signal received by the lth eavesdropper is:

in, is the channel matrix of Tx and eavesdropper Eves, is the channel matrix between the FD-BS and the eavesdropper Eves, z _{e, l} is the antenna noise of the l-th eavesdropper, L is the number of eavesdroppers, and L is a positive integer.

FIG. 2 shows a schematic flowchart of a data transmission method for a full-duplex base station provided in the first embodiment of the present invention. As shown in FIG. 2 , the data transmission method for a full-duplex base station in this embodiment is as follows.

201. Acquire channel information of a full-duplex secure communication system.

In a specific application, the channel information of the full-duplex secure communication system includes:

Channel information from a full-duplex base station to a confidential information sending terminal and a classified information receiving terminal, channel information from the confidential information sending terminal to the classified information receiving terminal, from the full-duplex base station to an eavesdropper terminal channel information, and channel information from the confidential information sending terminal to the eavesdropper terminal.

202. Construct an optimization model of a full-duplex secure communication system according to the channel information and preset first, second, third, and fourth thresholds.

Wherein, the preset first threshold is the minimum signal-to-noise ratio threshold of information received by the full-duplex base station, and the preset second threshold is the maximum signal-to-noise ratio when the lth eavesdropper eavesdrops on the information received by the full-duplex base station Ratio threshold, the preset third threshold is the minimum signal-to-noise ratio threshold of information sent by the full-duplex base station, and the preset fourth threshold is the maximum signal-to-noise ratio when the lth eavesdropper eavesdrops on the information sent by the full-duplex base station Noise Ratio Threshold, L is the number of eavesdroppers, and L is a positive integer.

203. According to the optimization model, obtain an optimal information beamforming assignment vector and an optimal interference beamforming autocorrelation matrix.

204. Perform information beamforming and interference beamforming according to the optimal information beamforming assignment vector and the optimal interference beamforming autocorrelation matrix, and perform data transmission based on the information beamforming and interference beamforming.

It can be understood that, in a specific application, when the full-duplex base station in this embodiment performs data transmission based on the information beamforming and interference beamforming, the transmission power of the full-duplex base station is minimum, and the full-duplex base station The signal-to-noise ratio of the information received by the duplex base station is greater than or equal to the preset first threshold, and the signal-to-noise ratio of the lth eavesdropper when eavesdropping on the information received by the full-duplex base station is less than or equal to the preset second threshold, and the full-duplex The signal-to-noise ratio of the information sent by the full-duplex base station is greater than or equal to the preset third threshold, and the signal-to-noise ratio of the first eavesdropper when eavesdropping on the information sent by the full-duplex base station is less than or equal to the preset fourth threshold.

In the data transmission method of the full-duplex base station in this embodiment, the channel information of the full-duplex secure communication system is obtained, and according to the channel information and the preset first, second, third, and fourth thresholds, the full-duplex secure communication system is constructed. An optimization model. According to the optimization model, the optimal information beamforming assignment vector and the optimal interference beamforming autocorrelation matrix are obtained, and the information beamforming and interference beamforming are performed according to the optimal information beamforming assignment vector and the optimal interference beamforming autocorrelation matrix. Beamforming, and data transmission based on information beamforming and interference beamforming, thus, simultaneous self-interference cancellation and uplink and downlink secure data transmission of full-duplex base stations can be realized, and beamforming parameters can be efficiently solved to ensure full-duplex The industrial base station meets the different signal-to-noise ratio requirements of all users with the minimum transmission power.

In a specific application, the optimization model P1 of the full-duplex secure communication system is:

Wherein, s is the information beamforming assignment vector;

W is the autocorrelation matrix of the interference transmission;

SINR _b (s, W) is the signal-to-noise ratio of the full-duplex base station receiving information, which is calculated by the first formula;

SINR _r (s, W) is the signal-to-noise ratio of the information sent by the full-duplex base station, which is calculated by the second formula;

SINR _{e, b, l} (s, W) is the signal-to-noise ratio when the lth eavesdropper eavesdrops on the information received by the full-duplex base station, which is calculated by the third formula;

SINR _{e, r, l} (s, W) is the signal-to-noise ratio when the lth eavesdropper eavesdrops on the information sent by the full-duplex base station, which is calculated by the fourth formula;

γ _b is the preset first threshold, γ _{e, b, l} is the preset second threshold, γ _r is the preset third threshold, γ _{e, r, l} is the preset fourth threshold;

Among them, the first formula is:

R _b is the independent and identical distribution of the received antenna noise from the full-duplex base station obtained in , P _t is the minimum transmit power of the confidential information sending terminal, is the channel matrix of the full-duplex base station and the confidential information sending terminal, is the fading self-interference channel matrix of the full-duplex base station, and the remaining self-interference channel matrix of the full-duplex base station is 0≤ρ≤1 is the self-interference cancellation parameter, N is the number of transmitting antennas of the full-duplex base station, M is the number of receiving antennas of the full-duplex base station, and M and N are both integers greater than 1;

The second formula is:

is the channel matrix of the full-duplex base station and the confidential information receiving terminal, g _r is the channel matrix of the confidential information sending terminal and the confidential information receiving terminal, is the independent and identical distribution of the antenna noise received from the confidential information receiving terminal obtained from

The third formula is:

The channel matrix between the terminal and the eavesdropper for sending confidential information, is the channel matrix between the full-duplex base station and the eavesdropper, is the independent and identically distributed noise from the receiving antenna of the l-th eavesdropper obtained from

The fourth formula is:

In a specific application, as shown in FIG. 3, the above step 203 may include steps S1-S6 not shown in the figure:

S1. Transform the optimization model into a convex optimization problem by using a semidefinite relaxation technique, and obtain an information beamforming autocorrelation matrix S ^* and an interference beamforming autocorrelation matrix W ^* .

In a specific application, the convex optimization problem described in this embodiment is:

Then the convex optimization problem is solved to obtain the information beamforming autocorrelation matrix S ^* and the interference beamforming autocorrelation matrix W ^* .

S2. Compare Rank(S ^* )=J with 1.

S3. When Rank(S ^* )=J=1, determine S ^* and W ^* as the optimal information beamforming autocorrelation matrix S' ^* and the optimal interference beamforming autocorrelation matrix W' ^* .

S4. When Rank(S ^* )=J>1, transform the optimization model into a Lagrange dual problem according to S ^* and W ^* .

In a specific application, the process of converting the optimization model described in this step into a Lagrangian dual problem can be:

set parameters By converting the parameters of the optimization model, the following equivalent problems can be obtained:

The Lagrange function of this equivalent problem can be expressed as:

Among them, α, β, λ, {μ _l }, {ν _l } are Lagrangian coefficients, which correspond to the constraints (2)-(6) of the above problems respectively;

The above Lagrangian function is a Lagrangian dual function, which can be expressed as:

The Lagrangian dual problem to be transformed in this step can be obtained:

S5. According to the Lagrangian dual problem, obtain an optimal information beamforming autocorrelation matrix S′ ^* and an optimal interference beamforming autocorrelation matrix W′ ^* .

In a specific application, the specific process of this step S5 can be:

By solving the Lagrangian dual problem, the optimal Lagrangian coefficients α ^* , β ^* , λ ^* , They respectively correspond to the constraints (2)~(6) of P1.1-EQV-A, and their corresponding optimal Φ _s ^* , Φ _w ^* ,

Then solve it by singular value decomposition The null-space unit vector π _j , 1≤j≤N-J+1, Φ _s ^* can be decomposed into:

Then the equivalent optimal Φ _s ^′* and Φ _w ^′* can be calculated as:

The optimal information beamforming autocorrelation matrix S′ ^* can be calculated as:

The optimal interference beamforming autocorrelation matrix W′ ^* can be calculated as:

S6. Singular value decomposition is performed on S′ ^* to obtain an optimal information beamforming assignment vector s′ ^* .

The algorithm of S1 to S6 included in the above step 203 can be simplified as shown in FIG. 3 .

The basic implementation process of the full-duplex base station based on beamforming in the embodiment of the present invention may be shown in FIG. 4 .

Figures 6 to 8 are the performance simulation experiment results of the technical solution of the embodiment of the present invention, and Figures 6 to 8 respectively show the full dual performance of the technical solution provided by the embodiment of the present invention under different P _t , γ _b , and γ _r The transmission power P _b curve of the industrial base station is shown in Figure 6 to Figure 8. The experimental results have clarified that the technical solution provided by the embodiment of the present invention needs to consume full-duplex power on the basis of meeting the different signal-to-noise ratio requirements of all users. The power value of the base station shows the validity of the algorithm of the technical solution provided by the embodiment of the present invention, which can realize simultaneous self-interference elimination and uplink and downlink secure data transmission of the full-duplex base station.

The data transmission method of the full-duplex base station in this embodiment can realize simultaneous self-interference cancellation and uplink and downlink secure data transmission of the full-duplex base station, and can efficiently solve the beamforming parameters to ensure that the full-duplex base station transmits data at the minimum The power meets the different signal-to-noise ratio requirements of all users.

FIG. 5 shows a schematic structural diagram of a data transmission device for a full-duplex base station provided in a second embodiment of the present invention. As shown in FIG. 5 , the data transmission device for a full-duplex base station in this embodiment includes: an information acquisition module 51 , model construction module 52, optimal vector and matrix acquisition module 53, data transmission module 54;

An information acquisition module 51, configured to acquire channel information of a full-duplex secure communication system;

A model construction module 52, configured to construct an optimization model of a full-duplex secure communication system according to the channel information and preset first, second, third, and fourth thresholds;

An optimal vector and matrix acquisition module 53, configured to acquire an optimal information beamforming assignment vector and an optimal interference beamforming autocorrelation matrix according to the optimization model;

The data transmission module 54 is configured to perform information beamforming and interference beamforming according to the optimal information beamforming assignment vector and the optimal interference beamforming autocorrelation matrix, and perform data transmission based on the information beamforming and interference beamforming .

Wherein, the preset first threshold is the minimum signal-to-noise ratio threshold of information received by the full-duplex base station, and the preset second threshold is the maximum signal-to-noise ratio when the lth eavesdropper eavesdrops on the information received by the full-duplex base station Ratio threshold, the preset third threshold is the minimum signal-to-noise ratio threshold of information sent by the full-duplex base station, and the preset fourth threshold is the maximum signal-to-noise ratio when the lth eavesdropper eavesdrops on the information sent by the full-duplex base station Noise Ratio Threshold, L is the number of eavesdroppers, and L is a positive integer;

The channel information of the full-duplex secure communication system includes:

Channel information from a full-duplex base station to a confidential information sending terminal and a classified information receiving terminal, channel information from the confidential information sending terminal to the classified information receiving terminal, from the full-duplex base station to an eavesdropper terminal channel information, and channel information from the confidential information sending terminal to the eavesdropper terminal.

In a specific application, the optimization model P1 of the full-duplex secure communication system is:

Wherein, s is the information beamforming assignment vector;

W is the autocorrelation matrix of the interference transmission;

SINR _b (s, W) is the signal-to-noise ratio of the full-duplex base station receiving information, which is calculated by the first formula;

SINR _r (s, W) is the signal-to-noise ratio of the information sent by the full-duplex base station, which is calculated by the second formula;

SINR _{e, b, l} (s, W) is the signal-to-noise ratio when the lth eavesdropper eavesdrops on the information received by the full-duplex base station, which is calculated by the third formula;

SINR _{e, r, l} (s, W) is the signal-to-noise ratio when the lth eavesdropper eavesdrops on the information sent by the full-duplex base station, which is calculated by the fourth formula;

γ _b is the preset first threshold, γ _{e, b, l} is the preset second threshold, γ _r is the preset third threshold, γ _{e, r, l} is the preset fourth threshold;

Among them, the first formula is:

R _b is the independent and identical distribution of the received antenna noise from the full-duplex base station obtained in , P _t is the minimum transmit power of the confidential information sending terminal, is the channel matrix of the full-duplex base station and the confidential information sending terminal, is the fading self-interference channel matrix of the full-duplex base station, and the remaining self-interference channel matrix of the full-duplex base station is 0≤ρ≤1 is the self-interference cancellation parameter, N is the number of transmitting antennas of the full-duplex base station, M is the number of receiving antennas of the full-duplex base station, and M and N are both integers greater than 1;

The second formula is:

is the channel matrix of the full-duplex base station and the confidential information receiving terminal, g _r is the channel matrix of the confidential information sending terminal and the confidential information receiving terminal, is the independent and identical distribution of the antenna noise received from the confidential information receiving terminal obtained from

The third formula is:

The channel matrix between the terminal and the eavesdropper for sending confidential information, is the channel matrix between the full-duplex base station and the eavesdropper, is the independent and identically distributed noise from the receiving antenna of the l-th eavesdropper obtained from

The fourth formula is:

In a specific application, the optimal vector and matrix acquisition module is specifically used for

Converting the optimization model into a convex optimization problem by using semidefinite relaxation technology, and obtaining the information beamforming autocorrelation matrix S ^* and the interference beamforming autocorrelation matrix W ^* ;

Compare the size of Rank(S ^* )=J and 1;

When Rank(S ^* )=J=1, determine S ^* and W ^* as the optimal information beamforming autocorrelation matrix S' ^* and the optimal interference beamforming autocorrelation matrix W'^*;

When Rank(S ^* )=J>1, according to S ^* and W ^* , the optimization model is transformed into a Lagrangian dual problem;

According to the Lagrangian dual problem, the optimal information beamforming autocorrelation matrix S' ^* and the optimal interference beamforming autocorrelation matrix W' ^* are obtained;

Singular value decomposition is performed on S′ ^* to obtain the optimal information beamforming assignment vector s′ ^* .

It can be understood that, in a specific application, when the full-duplex base station in this embodiment performs data transmission based on the information beamforming and interference beamforming, the transmission power of the full-duplex base station is the minimum, and the full-duplex The signal-to-noise ratio of the information received by the base station is greater than or equal to a preset first threshold, and the signal-to-noise ratio of the first eavesdropper eavesdropping on the information received by the full-duplex base station is less than or equal to a preset second threshold, and the full-duplex The signal-to-noise ratio of the information sent by the base station is greater than or equal to a preset third threshold, and the signal-to-noise ratio of the first eavesdropper when eavesdropping on the information sent by the full-duplex base station is less than or equal to a preset fourth threshold.

The data transmission device of the full-duplex base station in this embodiment can realize simultaneous self-interference cancellation and uplink and downlink secure data transmission of the full-duplex base station, and can efficiently solve the beamforming parameters to ensure that the full-duplex base station transmits The power meets the different signal-to-noise ratio requirements of all users.

The data transmission device of the full-duplex base station in this embodiment can be used to implement the technical solution of the aforementioned method embodiment shown in FIG. 2 , and its implementation principle and technical effect are similar, and will not be repeated here.

Those of ordinary skill in the art can understand that all or part of the steps for implementing the above method embodiments can be completed by program instructions and related hardware. The aforementioned program can be stored in a computer-readable storage medium. When the program is executed, it executes the steps including the above-mentioned method embodiments; and the aforementioned storage medium includes: ROM, RAM, magnetic disk or optical disk and other various media that can store program codes.

Finally, it should be noted that: the above embodiments are only used to illustrate the technical solutions of the present invention, rather than limiting them; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that: It is still possible to modify the technical solutions described in the foregoing embodiments, or perform equivalent replacements for some or all of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions depart from the scope defined by the claims of the present invention .

Claims (4)

1. A data transmission method of a full duplex base station is characterized by comprising the following steps:

acquiring channel information of a full-duplex secure communication system;

constructing an optimization model of the full-duplex secure communication system according to the channel information and preset first, second, third and fourth thresholds;

obtaining an optimal information beam forming assignment vector and an optimal interference beam forming autocorrelation matrix according to the optimization model;

performing information beam forming and interference beam forming according to the optimal information beam forming assignment vector and the optimal interference beam forming autocorrelation matrix, and performing data transmission based on the information beam forming and the interference beam forming;

wherein the preset first threshold is a minimum signal-to-noise ratio threshold of information received by the full-duplex base station, the preset second threshold is a maximum signal-to-noise ratio threshold of the information received by the l-th eavesdropper eavesdropping on the full-duplex base station, the preset third threshold is a minimum signal-to-noise ratio threshold of the information sent by the full-duplex base station, and the preset fourth threshold is a maximum signal-to-noise ratio threshold of the information sent by the l-th eavesdropper eavesdropping on the full-duplex base station,l is the number of eavesdroppers and is a positive integer;

the channel information of the full-duplex secure communication system includes:

the method comprises the steps that channel information from a full-duplex base station to a secret-related information sending terminal and a secret-related information receiving terminal, channel information from the secret-related information sending terminal and the secret-related information receiving terminal, channel information from the full-duplex base station to an eavesdropper terminal, and channel information from the secret-related information sending terminal to the eavesdropper terminal are obtained;

the optimization model P1 of the full-duplex secure communication system is:

P1

s.t.SINR_b(s，W)≥γ_b，

SINR_r(s，W)≥γ_r，

wherein s is an information beam forming assignment vector;

w is an autocorrelation matrix of interference transmission;

SINR_b(s, W) is the signal-to-noise ratio of the information received by the full-duplex base station, and is calculated by a first formula;

SINR_r(s, W) is the signal-to-noise ratio of the information sent by the full-duplex base station, and is obtained by calculation through a second formula;

SINR_e，b，l(s, W) is the signal-to-noise ratio when the information received by the full-duplex base station is intercepted by the first eavesdropper, and is calculated by a third formula;

SINR_e，r，l(s, W) is the signal-to-noise ratio when the information sent by the full-duplex base station is intercepted by the first eavesdropper, and is obtained by calculation through a fourth formula;

γ_bto preset a first threshold value, γ_e，b，lTo preset a second threshold value, γ_rTo preset a third threshold value, γ_e，r，lA fourth threshold value is preset;

wherein the first formula is:

<mrow> <msub> <mi>SINR</mi> <mi>b</mi> </msub> <mrow> <mo>(</mo> <mi>s</mi> <mo>,</mo> <mi>W</mi> <mo>)</mo> </mrow> <mo>=</mo> <mfrac> <mrow> <msub> <mi>P</mi> <mi>t</mi> </msub> <mo>|</mo> <mo>|</mo> <msub> <mi>h</mi> <mi>t</mi> </msub> <mo>|</mo> <msup> <mo>|</mo> <mn>2</mn> </msup> </mrow> <mrow> <msubsup> <mi>h</mi> <mi>t</mi> <mi>H</mi> </msubsup> <mrow> <mo>(</mo> <msubsup> <mi>&amp;rho;H</mi> <mi>b</mi> <mi>H</mi> </msubsup> <msup> <mi>ss</mi> <mi>H</mi> </msup> <msub> <mi>H</mi> <mi>b</mi> </msub> <mo>)</mo> </mrow> <msub> <mi>h</mi> <mi>t</mi> </msub> <mo>+</mo> <mi>T</mi> <mi>r</mi> <mrow> <mo>(</mo> <mo>(</mo> <mrow> <msub> <mi>&amp;rho;H</mi> <mi>b</mi> </msub> <msub> <mi>h</mi> <mi>t</mi> </msub> <msubsup> <mi>h</mi> <mi>t</mi> <mi>H</mi> </msubsup> <msubsup> <mi>H</mi> <mi>b</mi> <mi>H</mi> </msubsup> </mrow> <mo>)</mo> <mi>W</mi> <mo>)</mo> </mrow> <mo>+</mo> <mi>T</mi> <mi>r</mi> <mrow> <mo>(</mo> <msub> <mi>R</mi> <mi>b</mi> </msub> <msub> <mi>H</mi> <mi>t</mi> </msub> <mo>)</mo> </mrow> </mrow> </mfrac> <mo>,</mo> </mrow>

R_bis to receive independent co-distribution of antenna noise from a full-duplex base stationObtained by_tFor the minimum transmitting power of the secret-related information sending terminal,a channel matrix of a full duplex base station and a secret-related information sending terminal, for a full-duplex base station fading self-interference channel matrix, the remaining self-interference channel matrix for the full-duplex base station isRho is more than or equal to 0 and less than or equal to 1, is a self-interference elimination parameter, N is the number of transmitting antennas of the full-duplex base station, M is the number of receiving antennas of the full-duplex base station, M, N are integers which are more than 1,a set of complex numbers is represented that,a set of complex matrices representing M rows and 1 columns,a set of complex matrices representing N rows and M columns;

the second formula is:

<mrow> <msub> <mi>SINR</mi> <mi>r</mi> </msub> <mrow> <mo>(</mo> <mi>s</mi> <mo>,</mo> <mi>W</mi> <mo>)</mo> </mrow> <mo>=</mo> <mfrac> <mrow> <mo>|</mo> <mo>|</mo> <msubsup> <mi>h</mi> <mi>r</mi> <mi>H</mi> </msubsup> <mi>s</mi> <mo>|</mo> <msup> <mo>|</mo> <mn>2</mn> </msup> </mrow> <mrow> <mi>T</mi> <mi>r</mi> <mrow> <mo>(</mo> <msub> <mi>H</mi> <mi>r</mi> </msub> <mi>W</mi> <mo>)</mo> </mrow> <mo>+</mo> <msub> <mi>P</mi> <mi>t</mi> </msub> <mo>|</mo> <mo>|</mo> <msub> <mi>g</mi> <mi>r</mi> </msub> <mo>|</mo> <msup> <mo>|</mo> <mn>2</mn> </msup> <mo>+</mo> <msubsup> <mi>&amp;sigma;</mi> <mi>r</mi> <mn>2</mn> </msubsup> </mrow> </mfrac> <mo>,</mo> </mrow>

is a channel matrix of a full duplex base station and a secret-related information receiving terminal,a set of complex matrices representing N rows and 1 columns,g_ris a channel matrix of a secret-related information sending terminal and a secret-related information receiving terminal,is independent and same distribution of antenna noise received from secret-related information receiving terminalThe compound obtained in (1);

the third formula is:

<mrow> <msub> <mi>SINR</mi> <mrow> <mi>e</mi> <mo>,</mo> <mi>b</mi> <mo>,</mo> <mi>l</mi> </mrow> </msub> <mrow> <mo>(</mo> <mi>s</mi> <mo>,</mo> <mi>W</mi> <mo>)</mo> </mrow> <mo>=</mo> <mfrac> <mrow> <msub> <mi>P</mi> <mi>t</mi> </msub> <mo>|</mo> <mo>|</mo> <msub> <mi>g</mi> <mrow> <mi>e</mi> <mo>,</mo> <mi>l</mi> </mrow> </msub> <mo>|</mo> <msup> <mo>|</mo> <mn>2</mn> </msup> </mrow> <mrow> <mo>|</mo> <mo>|</mo> <msubsup> <mi>h</mi> <mrow> <mi>e</mi> <mo>,</mo> <mi>l</mi> </mrow> <mi>H</mi> </msubsup> <mi>s</mi> <mo>|</mo> <msup> <mo>|</mo> <mn>2</mn> </msup> <mo>+</mo> <mi>T</mi> <mi>r</mi> <mrow> <mo>(</mo> <msub> <mi>H</mi> <mrow> <mi>e</mi> <mo>,</mo> <mi>l</mi> </mrow> </msub> <mi>W</mi> <mo>)</mo> </mrow> <mo>+</mo> <msubsup> <mi>&amp;sigma;</mi> <mrow> <mi>e</mi> <mo>,</mo> <mi>l</mi> </mrow> <mn>2</mn> </msubsup> </mrow> </mfrac> <mo>,</mo> </mrow>

the channel matrix of the secret-related information sending terminal and the eavesdropper,represents a set of 1 row and 1 column complex matrices,a channel matrix between a full duplex base station and an eavesdropper,，is independent co-distribution of receive antenna noise from the l-th eavesdropperThe compound obtained in (1);

the fourth formula is:

<mrow> <msub> <mi>SINR</mi> <mrow> <mi>e</mi> <mo>,</mo> <mi>r</mi> <mo>,</mo> <mi>l</mi> </mrow> </msub> <mrow> <mo>(</mo> <mi>s</mi> <mo>,</mo> <mi>W</mi> <mo>)</mo> </mrow> <mo>=</mo> <mfrac> <mrow> <mo>|</mo> <mo>|</mo> <msubsup> <mi>h</mi> <mrow> <mi>e</mi> <mo>,</mo> <mi>l</mi> </mrow> <mi>H</mi> </msubsup> <mi>s</mi> <mo>|</mo> <msup> <mo>|</mo> <mn>2</mn> </msup> </mrow> <mrow> <mi>T</mi> <mi>r</mi> <mrow> <mo>(</mo> <msub> <mi>H</mi> <mrow> <mi>e</mi> <mo>,</mo> <mi>l</mi> </mrow> </msub> <mi>W</mi> <mo>)</mo> </mrow> <mo>+</mo> <msub> <mi>P</mi> <mi>t</mi> </msub> <mo>|</mo> <mo>|</mo> <msub> <mi>g</mi> <mrow> <mi>e</mi> <mo>,</mo> <mi>l</mi> </mrow> </msub> <mo>|</mo> <msup> <mo>|</mo> <mn>2</mn> </msup> <mo>+</mo> <msubsup> <mi>&amp;sigma;</mi> <mrow> <mi>e</mi> <mo>,</mo> <mi>l</mi> </mrow> <mn>2</mn> </msubsup> </mrow> </mfrac> <mo>.</mo> </mrow>

2. the method of claim 1, wherein obtaining an optimal information beamforming assignment vector and an optimal interference beamforming autocorrelation matrix according to the optimization model comprises:

converting the optimization model into a convex optimization problem by using a semi-definite relaxation technology to obtain informationBeamforming autocorrelation matrix S^*Sum interference beamforming autocorrelation matrix W^*；

Compare Rank (S)^*) J and 1;

in Rank (S)^*) When J is 1, determine S^*And W^*Forming an autocorrelation matrix S' for the optimal information beam and an optimal interference beam;

in Rank (S)^*) When J > 1, according to S^*And W^*Converting the optimization model into a Lagrangian dual problem;

acquiring an optimal information beam forming autocorrelation matrix S 'and an optimal interference beam forming autocorrelation matrix W' according to the Lagrange dual problem;

and carrying out singular value decomposition on the S 'to obtain an optimal information beam forming assignment vector S'.

3. A data transmission apparatus of a full duplex base station, comprising:

the information acquisition module is used for acquiring channel information of the full-duplex secure communication system;

the model construction module is used for constructing an optimization model of the full-duplex secure communication system according to the channel information and preset first, second, third and fourth thresholds;

the optimal vector and matrix acquisition module is used for acquiring an optimal information beam forming assignment vector and an optimal interference beam forming autocorrelation matrix according to the optimization model;

the data transmission module is used for performing information beam forming and interference beam forming according to the optimal information beam forming assignment vector and the optimal interference beam forming autocorrelation matrix, and performing data transmission based on the information beam forming and the interference beam forming;

the preset first threshold is a minimum signal-to-noise ratio threshold of information received by the full-duplex base station, the preset second threshold is a maximum signal-to-noise ratio threshold of the information received by the ith eavesdropper when the information is eavesdropped by the full-duplex base station, the preset third threshold is a minimum signal-to-noise ratio threshold of information sent by the full-duplex base station, and the preset fourth threshold is a minimum signal-to-noise ratio threshold of information sent by the full-duplex base stationThe threshold is the maximum snr threshold when the information transmitted by the full duplex base station is eavesdropped by the lth listener,l is the number of eavesdroppers and is a positive integer;

the channel information of the full-duplex secure communication system includes:

the method comprises the steps that channel information from a full-duplex base station to a secret-related information sending terminal and a secret-related information receiving terminal, channel information from the secret-related information sending terminal and the secret-related information receiving terminal, channel information from the full-duplex base station to an eavesdropper terminal, and channel information from the secret-related information sending terminal to the eavesdropper terminal are obtained;

the optimization model P1 of the full-duplex secure communication system is:

P1

s.t.SINR_b(s，W)≥γ_b，

SINR_r(s，W)≥γ_r，

wherein s is an information beam forming assignment vector;

w is an autocorrelation matrix of interference transmission;

SINR_b(s, W) is the signal-to-noise ratio of the information received by the full-duplex base station, and is calculated by a first formula;

SINR_r(s, W) is the signal-to-noise ratio of the information sent by the full-duplex base station, and is obtained by calculation through a second formula;

SINR_e，b，l(s, W) for the signal-to-noise ratio of the information eavesdropped by the first eavesdropper on the full duplex base station, through the third publicThe formula is calculated;

SINR_e，r，l(s, W) is the signal-to-noise ratio when the information sent by the full-duplex base station is intercepted by the first eavesdropper, and is obtained by calculation through a fourth formula;

γ_bto preset a first threshold value, γ_e，b，lTo preset a second threshold value, γ_rTo preset a third threshold value, γ_e，r，lA fourth threshold value is preset;

wherein the first formula is:

<mrow> <msub> <mi>SINR</mi> <mi>b</mi> </msub> <mrow> <mo>(</mo> <mi>s</mi> <mo>,</mo> <mi>W</mi> <mo>)</mo> </mrow> <mo>=</mo> <mfrac> <mrow> <msub> <mi>P</mi> <mi>t</mi> </msub> <mo>|</mo> <mo>|</mo> <msub> <mi>h</mi> <mi>t</mi> </msub> <mo>|</mo> <msup> <mo>|</mo> <mn>2</mn> </msup> </mrow> <mrow> <msubsup> <mi>h</mi> <mi>t</mi> <mi>H</mi> </msubsup> <mrow> <mo>(</mo> <msubsup> <mi>&amp;rho;H</mi> <mi>b</mi> <mi>H</mi> </msubsup> <msup> <mi>ss</mi> <mi>H</mi> </msup> <msub> <mi>H</mi> <mi>b</mi> </msub> <mo>)</mo> </mrow> <msub> <mi>h</mi> <mi>t</mi> </msub> <mo>+</mo> <mi>T</mi> <mi>r</mi> <mrow> <mo>(</mo> <mo>(</mo> <mrow> <msub> <mi>&amp;rho;H</mi> <mi>b</mi> </msub> <msub> <mi>h</mi> <mi>t</mi> </msub> <msubsup> <mi>h</mi> <mi>t</mi> <mi>H</mi> </msubsup> <msubsup> <mi>H</mi> <mi>b</mi> <mi>H</mi> </msubsup> </mrow> <mo>)</mo> <mi>W</mi> <mo>)</mo> </mrow> <mo>+</mo> <mi>T</mi> <mi>r</mi> <mrow> <mo>(</mo> <msub> <mi>R</mi> <mi>b</mi> </msub> <msub> <mi>H</mi> <mi>t</mi> </msub> <mo>)</mo> </mrow> </mrow> </mfrac> <mo>,</mo> </mrow>

R_bis to receive independent co-distribution of antenna noise from a full-duplex base stationObtained by_tFor the minimum transmitting power of the secret-related information sending terminal,a channel matrix of a full duplex base station and a secret-related information sending terminal, for a full-duplex base station fading self-interference channel matrix, the remaining self-interference channel matrix for the full-duplex base station isRho is more than or equal to 0 and less than or equal to 1, is a self-interference elimination parameter, N is the number of transmitting antennas of the full-duplex base station, M is the number of receiving antennas of the full-duplex base station, M, N are integers which are more than 1,a set of complex numbers is represented that,a set of complex matrices representing M rows and 1 columns,a set of complex matrices representing N rows and M columns;

the second formula is:

<mrow> <msub> <mi>SINR</mi> <mi>r</mi> </msub> <mrow> <mo>(</mo> <mi>s</mi> <mo>,</mo> <mi>W</mi> <mo>)</mo> </mrow> <mo>=</mo> <mfrac> <mrow> <mo>|</mo> <mo>|</mo> <msubsup> <mi>h</mi> <mi>r</mi> <mi>H</mi> </msubsup> <mi>s</mi> <mo>|</mo> <msup> <mo>|</mo> <mn>2</mn> </msup> </mrow> <mrow> <mi>T</mi> <mi>r</mi> <mrow> <mo>(</mo> <msub> <mi>H</mi> <mi>r</mi> </msub> <mi>W</mi> <mo>)</mo> </mrow> <mo>+</mo> <msub> <mi>P</mi> <mi>t</mi> </msub> <mo>|</mo> <mo>|</mo> <msub> <mi>g</mi> <mi>r</mi> </msub> <mo>|</mo> <msup> <mo>|</mo> <mn>2</mn> </msup> <mo>+</mo> <msubsup> <mi>&amp;sigma;</mi> <mi>r</mi> <mn>2</mn> </msubsup> </mrow> </mfrac> <mo>,</mo> </mrow>

is a channel matrix of a full duplex base station and a secret-related information receiving terminal,a set of complex matrices representing N rows and 1 columns,g_ris a channel matrix of a secret-related information sending terminal and a secret-related information receiving terminal,is independent and same distribution of antenna noise received from secret-related information receiving terminalThe compound obtained in (1);

the third formula is:

<mrow> <msub> <mi>SINR</mi> <mrow> <mi>e</mi> <mo>,</mo> <mi>b</mi> <mo>,</mo> <mi>l</mi> </mrow> </msub> <mrow> <mo>(</mo> <mi>s</mi> <mo>,</mo> <mi>W</mi> <mo>)</mo> </mrow> <mo>=</mo> <mfrac> <mrow> <msub> <mi>P</mi> <mi>t</mi> </msub> <mo>|</mo> <mo>|</mo> <msub> <mi>g</mi> <mrow> <mi>e</mi> <mo>,</mo> <mi>l</mi> </mrow> </msub> <mo>|</mo> <msup> <mo>|</mo> <mn>2</mn> </msup> </mrow> <mrow> <mo>|</mo> <mo>|</mo> <msubsup> <mi>h</mi> <mrow> <mi>e</mi> <mo>,</mo> <mi>l</mi> </mrow> <mi>H</mi> </msubsup> <mi>s</mi> <mo>|</mo> <msup> <mo>|</mo> <mn>2</mn> </msup> <mo>+</mo> <mi>T</mi> <mi>r</mi> <mrow> <mo>(</mo> <msub> <mi>H</mi> <mrow> <mi>e</mi> <mo>,</mo> <mi>l</mi> </mrow> </msub> <mi>W</mi> <mo>)</mo> </mrow> <mo>+</mo> <msubsup> <mi>&amp;sigma;</mi> <mrow> <mi>e</mi> <mo>,</mo> <mi>l</mi> </mrow> <mn>2</mn> </msubsup> </mrow> </mfrac> <mo>,</mo> </mrow>

the channel matrix of the secret-related information sending terminal and the eavesdropper,represents a set of 1 row and 1 column complex matrices,a channel matrix between a full duplex base station and an eavesdropper, is independent co-distribution of receive antenna noise from the l-th eavesdropperThe compound obtained in (1);

the fourth formula is:

<mrow> <msub> <mi>SINR</mi> <mrow> <mi>e</mi> <mo>,</mo> <mi>r</mi> <mo>,</mo> <mi>l</mi> </mrow> </msub> <mrow> <mo>(</mo> <mi>s</mi> <mo>,</mo> <mi>W</mi> <mo>)</mo> </mrow> <mo>=</mo> <mfrac> <mrow> <mo>|</mo> <mo>|</mo> <msubsup> <mi>h</mi> <mrow> <mi>e</mi> <mo>,</mo> <mi>l</mi> </mrow> <mi>H</mi> </msubsup> <mi>s</mi> <mo>|</mo> <msup> <mo>|</mo> <mn>2</mn> </msup> </mrow> <mrow> <mi>T</mi> <mi>r</mi> <mrow> <mo>(</mo> <msub> <mi>H</mi> <mrow> <mi>e</mi> <mo>,</mo> <mi>l</mi> </mrow> </msub> <mi>W</mi> <mo>)</mo> </mrow> <mo>+</mo> <msub> <mi>P</mi> <mi>t</mi> </msub> <mo>|</mo> <mo>|</mo> <msub> <mi>g</mi> <mrow> <mi>e</mi> <mo>,</mo> <mi>l</mi> </mrow> </msub> <mo>|</mo> <msup> <mo>|</mo> <mn>2</mn> </msup> <mo>+</mo> <msubsup> <mi>&amp;sigma;</mi> <mrow> <mi>e</mi> <mo>,</mo> <mi>l</mi> </mrow> <mn>2</mn> </msubsup> </mrow> </mfrac> <mo>.</mo> </mrow>

4. the apparatus according to claim 3, wherein the optimal vector and matrix acquisition module is specifically configured to

Converting the optimization model into a convex optimization problem by using a semi-definite relaxation technology to obtain an information beam forming autocorrelation matrix S^*Sum interference beamforming autocorrelation matrix W^*；

Compare Rank (S)^*) J and 1;

in Rank (S)^*) When J is 1, determine S^*And W^*Forming an autocorrelation matrix S' for the optimal information beam and an optimal interference beam;

in Rank (S)^*) When J > 1, according to S^*And W^*Converting the optimization model into a Lagrangian dual problem;

acquiring an optimal information beam forming autocorrelation matrix S 'and an optimal interference beam forming autocorrelation matrix W' according to the Lagrange dual problem;

and carrying out singular value decomposition on the S 'to obtain an optimal information beam forming assignment vector S'.