阅读说明：本技术 一种全双工无线携能中继通信系统高能效保密传输方法 (High-energy-efficiency confidential transmission method of full-duplex wireless energy-carrying relay communication system ) 是由 欧阳键 王雪薇 林敏� 于 2021-07-20 设计创作，主要内容包括：本发明公开了全双工中继无线通信领域的一种全双工无线携能中继通信系统高能效保密传输方法,包括如下步骤：构建基于人工噪声辅助的波束成形优化问题模型,该模型以全双工无线携能中继节点处的保密能量效率最大化为目标；采用连续凸近似和惩罚函数,对波束成形优化问题模型进行近似凸转换；采用迭代优化算法,计算近似凸转换后的波束成形优化问题模型,获得全双工无线携能中继通信系统保密能量效率最大化下的最佳中继节点波束成形矩阵和人工噪声协方差矩阵。本发明通过将全双工中继技术与无线携能技术结合,考虑到整个系统的保密能量效率,进一步提升频谱效率和保密能量效率,使整体的性能提升。(The invention discloses a high-energy-efficiency secret transmission method of a full-duplex wireless energy-carrying relay communication system in the field of full-duplex relay wireless communication, which comprises the following steps: constructing a beamforming optimization problem model based on artificial noise assistance, wherein the model aims at maximizing the secret energy efficiency at a full-duplex wireless energy-carrying relay node; carrying out approximate convex conversion on the beamforming optimization problem model by adopting a continuous convex approximation function and a penalty function; and calculating a beamforming optimization problem model after approximate convex transformation by adopting an iterative optimization algorithm to obtain an optimal relay node beamforming matrix and an artificial noise covariance matrix under the condition of maximizing the secret energy efficiency of the full-duplex wireless energy-carrying relay communication system. According to the invention, by combining the full-duplex relay technology and the wireless energy carrying technology, the secret energy efficiency of the whole system is considered, the spectrum efficiency and the secret energy efficiency are further improved, and the overall performance is improved.)

1. A high-energy-efficiency secret transmission method of a full-duplex wireless energy-carrying relay communication system is characterized by comprising the following steps:

constructing a beamforming optimization problem model based on artificial noise assistance, wherein the model aims at maximizing the secret energy efficiency at a full-duplex wireless energy-carrying relay node;

carrying out approximate convex conversion on the beamforming optimization problem model by adopting a continuous convex approximation function and a penalty function;

and calculating a beamforming optimization problem model after approximate convex transformation by adopting an iterative optimization algorithm to obtain an optimal relay node beamforming matrix and an artificial noise covariance matrix under the condition of maximizing the secret energy efficiency of the full-duplex wireless energy-carrying relay communication system.

2. The energy-efficient confidential transmission method of the full-duplex wireless energy-carrying relay communication system according to claim 1, wherein the full-duplex wireless energy-carrying relay communication system comprises a single-antenna source node, a single-antenna destination node, K single-antenna untrusted energy collection nodes and a full-duplex relay node, and wherein the full-duplex relay node comprises M_tA transmitting antenna and M_rA receiving antenna, M_t>M_r。

3. The energy-efficient confidential transmission method of the full-duplex wireless energy-carrying relay communication system according to claim 1, wherein the beamforming optimization problem model is as follows:

P_k≥η_k,k∈K

H_rrW＝0,H_rrQ＝0

wherein H_rrIs the relay self-interference channel, constraint H_rrW＝0,H_rrQ-0 is the self-interference zero-forcing constraint at the relay node,for relaying maximum transmission power, P_kCollected power, η, for the kth energy-collecting node_kRepresenting the minimum energy required by the kth energy-collecting node, W is a relay beam forming matrix, Q is an artificial noise covariance matrix, eta_SEEFor the secret energy efficiency, the calculation formula is:

wherein R is_secRepresenting secret transmission rate, P, of full-duplex wireless energy-carrying relay communication system_totalIs the total power, P, of the full-duplex wireless energy-carrying relay communication system_rIs the relay transmission power, P_cFor hardware circuit power consumption, P_SICFor self-interference cancellation power consumption, beta is the power efficient conversion coefficient of the relay terminal, gamma_dAnd gamma_kRespectively adopting the signal-to-interference-and-noise ratio of a target node and a k energy acquisition node under zero forcing technology, and the calculation formula is as follows:

wherein, P_sIs the transmit power of the source node, W is the relay beamforming matrix, Q is the artificial noise covariance matrix, h_srIs the channel vector from the source node to the relay node, h_rdAnd h_rkRespectively the channel vectors from the relay node to the destination node and the energy harvesting node,andthe noise power of the relay, the destination node and the kth energy collection node respectively.

4. The method for energy efficient secure transmission of a full duplex wireless energy-carrying relay communication system according to claim 3, wherein the P is P_rThe following constraints are satisfied:

wherein the content of the first and second substances,maximum transmit power for the relay;

the P is_kThe following constraints are satisfied:

where ξ represents the energy conversion efficiency.

5. The high-energy-efficiency secret transmission method of the full-duplex wireless energy-carrying relay communication system according to claim 1, wherein the beamforming optimization problem model after the approximate convex transformation is as follows:

ξ(Tr((A_k+B_k)Q_U)+Tr(C_kV))≥η_k，k∈K

β(Tr(DQ_U)+Tr(V))+P_c+P_SIC≤b/ln 2

wherein a, b and c are auxiliary variables,for a feasible solution of the artificial noise assistance based beamforming optimization problem model,andare respectively a matrixWith the corresponding feature vector,to optimize process intermediate function variables, andf_k(Q_U,V)＝ln(Tr((A_d+B_d)Q_U)+Tr(C_dV)+1)+ln(Tr(B_kQ_U)+Tr(C_kV)+1)； A_i、B_i、C_id a channel transformation matrix for facilitating the optimization process, and i denotes a unit matrix of the cell,denotes the kronecker product, G_ri,H_sr,H_riIs a channel matrix, and G_ri＝P^HH_riP, Is H_rrWhere r is H_rrRank of (i.e., r ═ Rank (H)_rr) And satisfy W ═ PU, Q ═ PVP^HWhereinQ_U＝vec(U)vec(U)^HAnd U and V are new auxiliary variables.

6. The high-energy-efficiency confidential transmission method of the full-duplex wireless energy-carrying relay communication system according to claim 5, wherein in iterative optimization calculation, the difference value between the auxiliary variable of the optimal solution of the current iteration round and the auxiliary variable of the optimal solution of the previous iteration round is smaller than the convergence precision, and the iteration is finished; and calculating an optimal relay node beam forming matrix and an artificial noise covariance matrix by adopting the optimal solution of the current iteration round.

7. The energy-efficient secure transmission method of claim 6 wherein the optimal relay node beamforming matrix W is calculated^*And the artificial noise covariance matrix Q^*The expression is:

Q^*＝PV^*P^H

wherein vec^-1(A) Representing an inverse quantization operation.

8. A high-energy-efficiency secret transmission system of a full-duplex wireless energy-carrying relay communication system is characterized by comprising:

the model building module is used for building a beam forming optimization problem model based on artificial noise assistance, and the model aims at maximizing the secret energy efficiency at a full-duplex wireless energy-carrying relay node;

the convex conversion module is used for carrying out approximate convex conversion on the wave beam forming optimization problem model by adopting continuous convex approximation and a penalty function;

and the model calculation module is used for calculating a beam forming optimization problem model after approximate convex transformation by adopting an iterative optimization algorithm to obtain an optimal relay node beam forming matrix and an artificial noise covariance matrix under the condition of maximum secret energy efficiency of the full-duplex wireless energy-carrying relay communication system.

9. The high-energy-efficiency secret transmission device of the full-duplex wireless energy-carrying relay communication system is characterized by comprising a processor and a storage medium;

the storage medium is used for storing instructions;

the processor is configured to operate in accordance with the instructions to perform the steps of the method according to any one of claims 1 to 7.

10. Computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 7.

Technical Field

The invention relates to a high-energy-efficiency secret transmission method of a full-duplex wireless energy-carrying relay communication system, and belongs to the technical field of full-duplex relay wireless communication.

Background

The full-duplex wireless energy-carrying relay communication system can simultaneously transmit information and energy on the basis of improving the spectral efficiency of data transmission and expanding the communication coverage area of the system, so that mobile equipment with limited energy supply can simultaneously receive information and collect energy, and in the 5G communication era, the full-duplex wireless energy-carrying relay communication system has important significance for energy and information transmission in various types of modern communication networks. However, the broadcast characteristic of the wireless channel causes the wireless energy-carrying relay communication system to be intercepted by an untrusted energy receiving end, so that the system has a serious risk of information leakage. Most of the existing researches are to add artificial noise interference to eavesdrop channels at a full-duplex relay so as to realize secret transmission of the full-duplex relay communication system. However, these schemes do not take into account the reduction in energy efficiency at the full-duplex relay due to the use of artifacts which can split part of the information transmission power of the full-duplex relay. In fact, with the deep application of 5G, the data traffic demand of users increases sharply, which leads to a rapid increase in energy consumption of the communication system for data transmission, thereby greatly shortening the working period of the energy-limited device and increasing the data transmission cost of the communication system. Therefore, the development of an energy-efficient scheme for data transmission of the full-duplex relay communication system not only has remarkable economic benefit, but also has huge ecological benefit. Aiming at the requirements of security and energy efficiency of a wireless communication environment, the confidentiality efficiency of data transmission needs to be considered when a full-duplex wireless energy-carrying relay communication system is designed.

Disclosure of Invention

The invention aims to overcome the defects in the prior art and provides a high-energy-efficiency confidential transmission method of a full-duplex wireless energy-carrying relay communication system.

In order to achieve the purpose, the invention is realized by adopting the following technical scheme:

in a first aspect, the invention provides a high-energy-efficiency secret transmission method for a full-duplex wireless energy-carrying relay communication system, which comprises the following steps:

constructing a beamforming optimization problem model based on artificial noise assistance, wherein the model aims at maximizing the secret energy efficiency at a full-duplex wireless energy-carrying relay node;

carrying out approximate convex conversion on the beamforming optimization problem model by adopting a continuous convex approximation function and a penalty function;

and calculating a beamforming optimization problem model after approximate convex transformation by adopting an iterative optimization algorithm to obtain an optimal relay node beamforming matrix and an artificial noise covariance matrix under the condition of maximizing the secret energy efficiency of the full-duplex wireless energy-carrying relay communication system.

Furthermore, the full-duplex wireless energy-carrying relay communication system comprises a single-antenna source node, a single-antenna destination node, K single-antenna untrusted energy collection nodes and a full-duplex relay node, wherein the full-duplex relay node comprises M_tA transmitting antenna and M_rA receiving antenna, M_t>M_r。

Further, the beamforming optimization problem model is as follows:

P_k≥η_k,k∈K

H_rrW＝0,H_rrQ＝0

wherein H_rrIs the relay self-interference channel, constraint H_rrW＝0,H_rrQ-0 is the self-interference zero-forcing constraint at the relay node,for maximum transmission of relaysPower, P_kCollected power, η, for the kth energy-collecting node_kRepresenting the minimum energy required by the kth energy-collecting node, W is a relay beam forming matrix, Q is an artificial noise covariance matrix, eta_SEEFor the secret energy efficiency, the calculation formula is:

wherein R is_secRepresenting secret transmission rate, P, of full-duplex wireless energy-carrying relay communication system_totalIs the total power, P, of the full-duplex wireless energy-carrying relay communication system_rIs the relay transmission power, P_cFor hardware circuit power consumption, P_SICFor self-interference cancellation power consumption, beta is the power efficient conversion coefficient of the relay terminal, gamma_dAnd gamma_kRespectively adopting the signal-to-interference-and-noise ratio of a target node and a k energy acquisition node under zero forcing technology, and the calculation formula is as follows:

wherein, P_sIs the transmit power of the source node, W is the relay beamforming matrix, Q is the artificial noise covariance matrix, h_srIs the channel vector from the source node to the relay node, h_rdAnd h_rkRespectively the channel vectors from the relay node to the destination node and the energy harvesting node,andthe noise power of the relay, the destination node and the kth energy collection node respectively.

Further, in the above-mentioned case,the P is_rThe following constraints are satisfied:

wherein the content of the first and second substances,maximum transmit power for the relay;

the P is_kThe following constraints are satisfied:

where ξ represents the energy conversion efficiency.

Further, the beamforming optimization problem model after the approximate convex transformation is as follows:

ξ(Tr((A_k+B_k)Q_U)+Tr(C_kV))≥η_k，k∈K

β(Tr(DQ_U)+Tr(V))+P_c+P_SIC≤b/ln2

wherein a, b and c are auxiliary variables,for a feasible solution of the artificial noise assistance based beamforming optimization problem model,andare respectively a matrixWith the corresponding feature vector,f_k(Q_U，V)，to optimize process intermediate variables, andf_k(Q_U，V)＝ln(Tr((A_d+B_d)Q_U)+Tr(C_dV)+1)+ln(Tr(B_kQ_U)+Tr(C_kV)+1)； A_i、B_i、C_id a channel transformation matrix for facilitating the optimization process, and i denotes a unit matrix of the cell,denotes the kronecker product, G_ri，H_sr，H_riIs a channel matrix, and G_ri＝P^HH_riP，i∈{d，k}，Is H_rrWhere r is H_rrRank of (i.e., r ═ Rank (H)_rr) And satisfy W ═ PU, Q ═ PVP^HWhereinQ_U＝vec(U)vec(U)^HAnd U and V are new auxiliary variables. Further, in the iterative optimization calculation, the difference value between the auxiliary variable of the optimal solution of the current iteration round and the auxiliary variable of the optimal solution of the previous iteration round is smaller than the convergence precision, and the iteration is finished; and calculating an optimal relay node beam forming matrix and an artificial noise covariance matrix by adopting the optimal solution of the current iteration round.

Further, calculating an optimal relay node beam forming matrix W^*And the artificial noise covariance matrix Q^*The expression is:

Q^*＝PV^*P^H

wherein vec^-1(A) Representing an inverse quantization operation.

In a second aspect, the present invention discloses an energy-efficient secret transmission system of a full-duplex wireless energy-carrying relay communication system, including:

the model building module is used for building a beam forming optimization problem model based on artificial noise assistance, and the model aims at maximizing the secret energy efficiency at a full-duplex wireless energy-carrying relay node;

the convex conversion module is used for carrying out approximate convex conversion on the wave beam forming optimization problem model by adopting continuous convex approximation and a penalty function;

and the model calculation module is used for calculating a beam forming optimization problem model after approximate convex transformation by adopting an iterative optimization algorithm to obtain an optimal relay node beam forming matrix and an artificial noise covariance matrix under the condition of maximum secret energy efficiency of the full-duplex wireless energy-carrying relay communication system.

In a third aspect, the invention discloses a high-energy-efficiency secret transmission device of a full-duplex wireless energy-carrying relay communication system, which comprises a processor and a storage medium;

the storage medium is used for storing instructions;

the processor is configured to operate in accordance with the instructions to perform the steps of the method according to any of the above.

In a fourth aspect, the invention discloses a computer readable storage medium having stored thereon a computer program which, when executed by a processor, performs the steps of any of the methods described above.

Compared with the prior art, the invention has the following beneficial effects:

the invention provides a high-energy-efficiency secret transmission method of a full-duplex wireless energy-carrying relay communication system, and in the process of calculating a relay node beam forming matrix and an artificial noise covariance matrix, the secret energy efficiency of the whole system is considered, so that the overall performance is improved.

The invention further improves the spectrum efficiency and the secret energy efficiency by combining the full-duplex relay technology and the wireless energy carrying technology through providing the high-energy-efficiency secret transmission method of the full-duplex wireless energy carrying relay communication system.

The system confidentiality energy efficiency definition provided by the invention provides quantitative analysis indexes for comprehensive evaluation of the security performance and the energy efficiency of a system physical layer, and the related optimization algorithm realizes maximization of the confidentiality energy efficiency of the full-duplex relay communication system, so that the optimal balance of the system confidentiality and the energy efficiency is achieved.

The artificial noise assisted full-duplex relay communication system model provided by the invention can utilize artificial noise as an energy signal to supply energy to the energy acquisition nodes on one hand, and can effectively prevent the energy acquisition nodes from malicious eavesdropping on the other hand, thereby ensuring the safety of the system.

Drawings

Fig. 1 is a schematic diagram of an energy-efficient secure transmission method of a full-duplex wireless energy-carrying relay communication system according to an embodiment of the present invention;

fig. 2 is a system model diagram of an energy-efficient secure transmission method of a full-duplex wireless energy-carrying relay communication system according to an embodiment of the present invention;

fig. 3 is a flowchart of an algorithm of an energy-efficient secure transmission method of a full-duplex wireless energy-carrying relay communication system according to an embodiment of the present invention;

fig. 4 is an algorithm convergence diagram of an energy-efficient secret transmission method of a full-duplex wireless energy-carrying relay communication system according to an embodiment of the present invention;

fig. 5 is a graph comparing the energy-efficient secret transmission method of a full-duplex wireless energy-carrying relay communication system according to an embodiment of the present invention with secret energy efficiencies of different schemes.

Detailed Description

The invention is further described below with reference to the accompanying drawings. The following examples are only for illustrating the technical solutions of the present invention more clearly, and the protection scope of the present invention is not limited thereby.

The first embodiment is as follows:

referring to fig. 2, the system model of the present invention includes: a source node (S), a destination node (D), a full-duplex relay node (FD-R), and K untrusted energy harvesting nodes (EHR)_k) Wherein S, D and EHR_kAre all equipped with a single antenna, FD-R is equipped with M_rRoot receiving antenna and M_tThe antennas are sent from the root and assume that there is no direct path between S and D. The specific steps of the high-energy-efficiency confidential transmission method of the full-duplex wireless energy-carrying relay communication system disclosed by the invention are described as follows by combining the accompanying drawings 1-3:

constructing a full-duplex wireless energy-carrying relay node signal transmission model under the scene of an unreliable energy collection node;

the method comprises the steps that a beam forming optimization problem model based on artificial noise assistance is established by taking the maximum secret energy efficiency of a full-duplex wireless energy-carrying relay node signal transmission model as a target function;

adopting a continuous convex approximation and penalty function combined method to realize approximate convex conversion of a beam forming optimization problem model based on artificial noise assistance;

based on the beamforming optimization problem model after the approximate convex transformation, an iterative optimization algorithm with fast convergence is designed to obtain an optimal relay node beamforming matrix and an artificial noise covariance matrix which maximize the system secret energy efficiency.

The patent provides an artificial noise assisted high-energy efficiency secret transmission method for a full-duplex wireless energy-carrying relay communication system, and provides definition of secret energy efficiency in the system aiming at the wireless energy-carrying amplified forwarding full-duplex relay communication system. Under the condition that the relay adopts an amplification forwarding protocol, the reachable rates of the target node and the kth energy acquisition node are respectively as follows:

wherein, P_sIs the transmit power of the source node, W is the relay beamforming matrix, Q is the artificial noise covariance matrix, h_srIs the channel vector from the source node to the relay node, h_rdAnd h_rkRespectively the channel vectors from the relay node to the destination node and the energy harvesting node,andthe noise power of the relay, the destination node and the kth energy collection node respectively.

Defining the signal security energy efficiency eta of the full-duplex wireless energy-carrying relay node_SEEComprises the following steps:

wherein R is_secRepresenting secret transmission rate, P, of full-duplex wireless energy-carrying relay communication system_totalIs the total power, P, of the full-duplex wireless energy-carrying relay communication system_rIs the relay transmission power, P_cFor hardware circuit power consumption, P_SICTo eliminate power consumption from interference, β is the power efficient transformation coefficient of the relay.

For energy-limited relay systems, the total transmit power P of the signal_rThe following constraints should be satisfied:

wherein the content of the first and second substances,to relay the maximum transmit power. Meanwhile, in order to meet the minimum energy acquisition requirement of the energy acquisition node, the acquisition power P of the kth energy acquisition node_kThe following constraints should be satisfied:

wherein eta is_kRepresents the minimum energy collection required by the kth energy collection node, and ξ represents the energy conversion efficiency.

Based on this, the secret energy efficiency maximization problem of the full-duplex wireless energy-carrying relay communication system can be modeled as a non-convex problem (6), comprising:

P_k≥η_k，k∈K (6c)

H_rrW＝0，H_rrQ＝0 (6d)

wherein H_rrIs a relay self-interference channel, and the constraint (6d) is a self-interference zero-forcing constraint at the relay node.

Second, assume H_rrHas a null space ofWherein r is Rank (H)_rr) And W is defined as PU,andand satisfy Q ═ PVP^HWherein Q is_U＝vec(U)vec(U)^HU and V are new auxiliary variables, and then the non-convex problem (6) can be converted into an optimization problem (7) by carrying out equivalent conversion by an auxiliary variable method, wherein the method comprises the following steps:

s.t.ln(1+γ_d(Q_U，V))-ln(1+γ_k(Q_U，V))≥c²，k∈K (7b)

β(Tr(DQ_U)+Tr(V))+P_c+P_SIC≤b/ln 2 (7c)

c²/b≥a (7d)

ξ(Tr((A_k+B_k)Q_U)+Tr(C_kV))≥η_k，k∈K (7f)

Rank(Q_U)＝1 (7g)

wherein the content of the first and second substances,a, b and c are auxiliary variables,B_i，C_id a channel transformation matrix to facilitate the optimization process, an Wherein G is_ri＝P^HH_riP， I ∈ { d, k }, I denotes an identity matrix,denotes the kronecker product, G_ri，H_sr，H_riIn order to be a matrix of channels,is H_rrWhere r is H_rrRank of (i.e., r ═ Rank (H)_rr)；

The optimization problem (7) is still a non-convex problem, and for the non-convex constraint (7g), it can be equivalently expressed as:

by taking equation (8) as a penalty function into the objective function (7a) and processing it with a first order taylor expansion, the optimization problem (7) can be transformed into the following one, namely:

s.t.(7b)-(7f) (9b)

wherein the content of the first and second substances,andare respectively a matrixAnd the corresponding feature vector.

The optimization problem (9) is still a non-convex problem, for which the following function is defined for the non-convex constraint (7 b):

f_k(Q_U，V)＝ln(Tr((A_d+B_d)Q_U)+Tr(C_dV)+1)+ln(Tr((B_k+C_k)V)+1) (10a)

g_k(Q_U，V)＝ln(Tr(A_k+B_k)Q_U)+Tr(C_kV)+1)+ln(Tr((B_d+C_d)V)+1) (10b)

combining (10a) and (10b) and adopting a continuous convex approximation method to process the constraint conditions (7b) and (7d), the optimization problem (9) can be converted into a convex approximation problem:

(7c)，(7e)-(7f) (11d)

wherein the content of the first and second substances,f_k(Q_U，V)，in order to optimize the process intermediate function variables,to optimize a feasible solution to the problem (6), and:

and finally, designing a fast-convergence iterative optimization algorithm, and obtaining an optimal relay node beam forming matrix and an artificial noise covariance matrix under the condition of maximizing the system confidentiality energy efficiency. The proposed optimization algorithm is as follows:

step 1: setting a transmission power P of a source node_sMaximum transmission power of relayNumber of relay transmitting/receiving antennas M_r、M_tAnd noise power and other parameters of each node;

step 2: setting the convergence precision epsilon and the iteration serial number i to be 0;

setting an initial feasible solution

Setting i to i +1, solving a beamforming optimization problem model after approximate convex transformation based on an iterative optimization algorithm, and obtaining an optimal solution of the full-duplex wireless energy-carrying relay communication system under the condition of maximum confidential energy efficiencyWherein a, b and c are auxiliary variables;

when a isⁱ-a^i-1>When epsilon is, set upResetting i to i +1, and solving the wave after approximate convex conversion based on the iterative optimization algorithmBeam forming optimizes the problem model, otherwise the algorithm converges;

calculating an optimal solution based on the converged algorithm

Based on the optimal solutionCalculating an optimal relay node beamforming matrix W^*And the artificial noise covariance matrix Q^*：Q^*＝PV^*P^HWherein vec^-1(A) Representing an inverse quantization operation.

Fig. 4 is a simulation graph of iterative performance and optimal performance of the proposed algorithm. It can be seen from fig. 4 that the optimization process can achieve optimal performance, i.e. convergence, for a number of iterations within 10. The proposed algorithm is verified to converge quickly at a small number of iterations.

Fig. 5 is a graph of the secrecy energy efficiency of the proposed scheme of the present invention compared with the half-duplex secrecy energy efficiency maximization (SEEM-HD) scheme, the full-duplex secrecy efficiency maximization (SRM-FD) scheme, and the full-duplex energy efficiency maximization (EEM-FD). As can be seen from FIG. 5, the SEEM-FD scheme has better performance than the SEEM-HD, SRM-FD and EEM-FD schemes. Compared with SEEM-HD, SEEM-FD can obtain higher confidentiality, and the confidentiality and energy efficiency are improved; for SRM-FD, the signal is still transmitted at full power when the system secrecy energy efficiency reaches the optimal value, resulting in the system energy efficiency beingAnd then begins to fall. For the EEM-FD scheme, because the system security is not considered, the interception of the energy acquisition node cannot be effectively dealt with, and the confidentiality energy efficiency is obviously reduced compared with the SEEM-FD performance.

Example two:

the second embodiment of the present invention provides a high-energy-efficiency secret transmission system of a full-duplex wireless energy-carrying relay communication system, including:

the model building module is used for building a beam forming optimization problem model based on artificial noise assistance, and the model aims at maximizing the secret energy efficiency at a full-duplex wireless energy-carrying relay node;

the convex conversion module is used for carrying out approximate convex conversion on the wave beam forming optimization problem model by adopting continuous convex approximation and a penalty function;

and the model calculation module is used for calculating a beam forming optimization problem model after approximate convex transformation by adopting an iterative optimization algorithm to obtain an optimal relay node beam forming matrix and an artificial noise covariance matrix under the condition of maximum secret energy efficiency of the full-duplex wireless energy-carrying relay communication system.

Example three:

the third embodiment of the invention provides a high-energy-efficiency secret transmission device of a full-duplex wireless energy-carrying relay communication system, which comprises a processor and a storage medium, wherein the processor is used for processing the secret transmission data;

the storage medium is used for storing instructions;

the processor is configured to operate in accordance with the instructions to perform the steps of the method according to embodiment one.

Example four:

a fourth embodiment of the present invention provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the steps of the method described in the first embodiment.

As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.

The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

The above description is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, several modifications and variations can be made without departing from the technical principle of the present invention, and these modifications and variations should also be regarded as the protection scope of the present invention.