Communication, perception and energy transfer integrated network security transmission method

Abstract

The invention discloses a communication, perception and energy transfer integrated network security transmission method, and belongs to the technical field of network security transmission. The invention aims to solve the problem that private information is eavesdropped by a sensing node in a communication, sensing and energy transfer integrated network. Comprising the following steps: determining a covariance matrix for designing a sensing beam waveform by minimizing a beam error; establishing a constraint of a relationship between information pre-coding and a channel; based on a demodulation signal to interference plus noise ratio of the private information demodulated by the private node and an eavesdropping signal to interference plus noise ratio of the private information eavesdropped by the sensing node, establishing a target function and determining a constraint condition by taking maximization of a confidential transmission rate of the private information for resisting internal eavesdropping as a target; performing optimization to obtain pre-codes of the multicast information and the private information and optimized values of power segmentation coefficients of a sensing node and a private node of a receiving end; and at a receiving end, performing power division on the received signal according to the optimized value of the power division coefficient to obtain a corresponding signal to interference plus noise ratio and node collection energy. The method is used for information security transmission.

Description

Technical Field

[0001] The invention relates to a communication, perception and energy transmission integrated network security transmission method, and belongs to the technical field of network security transmission. Background Art

[0002] With the increasing demand for communication, positioning and energy from low-power IoT devices, the combined application of Integrated Sensing and Communication (ISAC) and Simultaneous Wireless Information and Energy Transfer (SWIPT) has shown the prospect of an innovative integrated communication, sensing and energy transfer network. However, the transmission of private information in wireless sensing beams greatly increases the risk of private information being illegally eavesdropped by sensing nodes inside the network, causing great security issues. At the same time, as wireless communication infrastructure and services continue to increase to cope with the rapidly growing communication needs, more and more wireless devices are connected to the network, but are limited by the huge and messy orthogonal resource allocation and scheduling, making it difficult to achieve the expected development indicators of future communication technologies.

[0003] In this context, non-orthogonal multiple access (NOMA) technology has become one of the key technologies for assisting resource-constrained IoT devices due to its advantages such as high transmission rate, high spectrum efficiency and high user density. For this reason, the secure transmission design of the communication-sensing-transmission-integrated network based on non-orthogonal multiple access technology should be given special attention to cope with the current and future massive user access scenarios, and help ensure the security performance of the communication-sensing-transmission-integrated network against malicious eavesdropping. Summary of the invention

[0004] In order to solve the problem that private information in a communication, perception and energy transmission integrated network is eavesdropped on by a sensing node inside, the present invention provides a communication, perception and energy transmission integrated network secure transmission method.

[0005] A communication, perception and energy transmission integrated network security transmission method of the present invention comprises:

[0006] The multicast information and private information are sent at the transmitting end; the multicast information and private information are received at the receiving end through the sensing node and the private node;

[0007] By minimizing the ideal sensing beam B 0 The beam error between the designed sensing beam and the designed sensing beam is used to determine the covariance matrix of the designed sensing beam waveform; at the same time, the constraints on the correspondence between the precoding of multicast information and private information and the channel are established at the transmitting end;

[0008] Based on the demodulation signal-to-interference-noise ratio of the private node demodulating the private information and the eavesdropping signal-to-interference-noise ratio of the sensing node eavesdropping on the private information, an objective function is established with the goal of maximizing the confidential transmission rate of the private information against internal eavesdropping; based on the constraints between precoding and channel, the quality constraints of multicast information, the total power constraints, the energy collection constraints at the receiving end, the power division coefficient constraints, and the constraints based on the fitting of the covariance matrix of the designed sensing beam waveform with the covariance matrix of the actual sensing beam waveform, the objective function is optimized and solved to obtain the optimized values ​​of the precoding of multicast information and private information and the power division coefficients of the receiving sensing node and the private node;

[0009] At the transmitting end, multicast information and private information are sent based on the calculated optimization value;

[0010] At the receiving end, the received signal is power-split according to the optimized value of the power split coefficient, and the demodulation signal-to-interference-noise ratio of the private node for demodulating private information and the eavesdropping signal-to-interference-noise ratio of the sensing node for eavesdropping on private information are calculated. At the same time, the energy harvesting model is used to collect energy, and the energy collected by the sensing node and the private node are obtained respectively, thereby realizing information security transmission and energy collection of the receiving node.

[0011] According to the communication, perception, transmission and energy integrated network security transmission method of the present invention, the method for determining the covariance matrix of the design perception beam waveform is:

[0012]

[0013] tr(R 0 )=P max ,

[0014]

[0015] Where ρ is the 0 Correlation scaling factor, R 0 To design the covariance matrix of the sensing beam waveform, Θ(ρ,R 0 ) is the beam error, L is the total number of sensing angles, θ l is the lth perception angle, the perception angle range is from -π / 2 to π / 2, a(θ l ) represents θ l The direction vector, P max is the total power threshold of the transmitter.

[0016] According to the communication, perception, transmission and energy integrated network security transmission method of the present invention, the constraints on the correspondence between the precoding of multicast information and private information and the channel are:

[0017]

[0018] Where ωm is the precoding of multicast information, ω u is the precoding of private information, g s is the channel from the transmitter to the sensing node, g p It is the channel from the transmitter to the private node.

[0019] According to the communication, perception, transmission and energy integrated network security transmission method of the present invention, the objective function is established and the constraint conditions are set as follows:

[0020]

[0021] ||ω m || 2 +||ω u || 2 ≤P max ,

[0022]

[0023] In the formula is the power division factor of the sensing node, is the power division factor of the private node, SINR p,u The demodulation signal-to-interference-noise ratio for private nodes to demodulate private information, The SINR is the signal-to-interference-to-noise ratio (SINR) of the sensing node eavesdropping on private information. p,m Signal-to-interference-and-noise ratio (SINR) for demodulating multicast information for private nodes s,m The signal-to-interference-noise ratio (SINR) of the multicast information demodulated by the sensing node, is the rate threshold for multicast information transmission, E s is the energy collected by the sensing node, is the energy collection threshold of the sensing node, E p The energy collected by the private node, is the energy collection threshold of private nodes, ρ * For B 0 Correlation scaling factor, R 1 is the covariance matrix of the actual sensing beam waveform for multicast and private information transmission, is the covariance matrix of the ideal sensing beam waveform, is the maximum mismatch ratio of beam error.

[0024] According to the communication, perception, transmission and energy integrated network security transmission method of the present invention, the sending signal of the transmitting end is: mo x m +ω uo x u ,

[0025] Where ω mo is the precoding optimization value for multicast information, xm is the multicast information, ω uo is the pre-coding optimization value of the private information, x u This is private information.

[0026] According to the communication perception and energy transmission integrated network security transmission method of the present invention, the receiving signal y at the private node of the receiving end p for:

[0027] In the formula is the Gaussian white noise at the private node of the receiving end, δ 2 is the Gaussian white noise power.

[0028] According to the communication perception transmission integrated network security transmission method of the present invention, the demodulation signal to interference and noise ratio SINR of the private node demodulating the private information p,u The calculation method is:

[0029] SINR of the private node demodulating multicast information p,m for:

[0030]

[0031] In the formula The noise power generated by the node processing signal; Optimize the power splitting factor value for private nodes;

[0032] The private node demodulates and deletes the multicast information to obtain the demodulation signal-to-interference-and-noise ratio (SINR) of the private node demodulating the private information. p,u :

[0033]

[0034] According to the communication perception transmission integrated network security transmission method of the present invention, the eavesdropping signal-to-interference-noise ratio of the sensing node eavesdropping on private information The calculation method is:

[0035] The SINR of the multicast information demodulated by the sensing node s,m for:

[0036]

[0037] In the formula Optimizing the power splitting factor for the sensing node;

[0038] Eavesdropping signal-to-interference-noise ratio of sensing nodes eavesdropping on private information for:

[0039]

[0040] According to the communication, perception and energy transmission integrated network security transmission method of the present invention, the energy collection model is set as

[0041] Where X is the received signal y p The power used for energy harvesting, D 0 is the maximum power when the node energy harvesting reaches saturation, α is the circuit specification parameter of the capacitor, and β is the circuit specification parameter of the resistor.

[0042] According to the communication, perception and energy transmission integrated network security transmission method of the present invention, the energy E collected by the sensing node s The energy E collected by the private node p The calculation method is:

[0043]

[0044] Beneficial effects of the invention: The invention relates to non-orthogonal multiple access, communication perception and energy transmission integrated network and related physical layer security transmission. Compared with the traditional orthogonal multiple access technology, the non-orthogonal multiple access technology of the invention superimposes the signals of multiple nodes in the power domain and reasonably utilizes the channel gain difference between the node and the transmitting end. At the transmitting end of non-orthogonal multiple access, the signals required by different nodes are superimposed, and then the generated signals are transmitted through the same time-frequency resources; at the receiving end of non-orthogonal multiple access, power splitting PS is used to allocate part of the power for energy collection EH, and the other part is used for information decoding ID, and the multi-user demodulation algorithm of serial interference deletion SIC is used to decode the required information in sequence. The method of the invention makes up for the disadvantage that the private information carried in the perception beam of the communication perception and energy transmission integrated network is very easy to be eavesdropped by the internal perception node in order to achieve target perception. The invention properly and flexibly applies the joint optimization transmission precoding and power splitting, and establishes a comprehensive security solution based on the physical layer optimization idea to ensure nonlinear energy collection and accurate perception beam, and maximize the confidentiality transmission rate against the eavesdropping of the perception node, thereby improving the security transmission performance of private information.

[0045] The method of the present invention solves multiple challenges of continuous network operation, target perception and confidential communication: first, in order to prevent untrusted perception nodes from internally eavesdropping on private information, the present invention adopts a design method of joint precoding and power splitting to maximize the confidential transmission rate of private information against internal eavesdropping, while ensuring the realization of nonlinear energy collection and precise perception beams; secondly, the present invention reasonably designs the serial interference deletion order, so that private nodes can not only effectively manage interference from multicast information, but also ensure that the power of multicast information is effectively used for energy collection, thereby enhancing the sustainability and security protection capabilities of the integrated communication, perception, transmission and energy network in complex environments.

[0046] The method of the present invention utilizes the modulation and demodulation advantages of non-orthogonal multiple access technology, flexibly implements physical layer security design, takes joint precoding and power splitting optimization as the core, and ensures the secure transmission requirements of the communication, perception, transmission and energy integrated network in the scenario of illegal eavesdropping by perception nodes. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] Figure 1 It is a network schematic diagram of the communication, perception and energy transmission integrated network security transmission method of the present invention;

[0048] Figure 2 It is a comparison diagram of the total transmission beam, multicast information (multicast signal) beam, private information (private signal) beam and pre-designed sensing beam;

[0049] Figure 3 It is a graph showing the change of confidentiality transmission rate of private information, eavesdropping rate of private information and transmission rate of multicast information with the number of iterations;

[0050] Figure 4 is a schematic diagram of the power splitting and serial interference cancellation decoding process at the private node;

[0051] Figure 5 It is a comparison diagram of the collected power of the nonlinear energy collection model using the method of the present invention and the traditional linear energy collection model;

[0052] Figure 6 This is a power comparison chart for energy collection and information demodulation after the power of private nodes and sensing nodes is split;

[0053] Figure 7 It is different max and Below is a comparison chart of the confidentiality transmission rate of private information, the eavesdropping rate of private information, and the transmission rate of multicast information;

[0054] Figure 8 is the number of different antennas N, P max and Below is a comparison chart of the confidentiality transmission rates of private information. DETAILED DESCRIPTION

[0055] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0056] It should be noted that, in the absence of conflict, the embodiments of the present invention and the features in the embodiments may be combined with each other.

[0057] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments, but they are not intended to limit the present invention.

[0058] Specific implementation method 1. Combination Figure 1 and Figure 4 As shown, the present invention provides a communication, perception and energy transmission integrated network security transmission method, comprising:

[0059] At the transmitting end, multicast information and private information are sent through the communication sensing and energy transmission integrated base station; at the receiving end, multicast information and private information are received through the sensing node and the private node;

[0060] Get the designed perception beam diagram by minimizing the ideal perception beam B 0 The beam error between the designed sensing beam and the designed sensing beam is used to determine the covariance matrix of the designed sensing beam waveform; at the same time, the constraints on the correspondence between the precoding of multicast information and private information and the channel are established at the transmitting end;

[0061] Based on the demodulation signal-to-interference-noise ratio of the private node demodulating the private information and the eavesdropping signal-to-interference-noise ratio of the sensing node eavesdropping on the private information, an objective function is established with the goal of maximizing the confidential transmission rate of the private information against internal eavesdropping; based on the constraints between precoding and channel, the quality constraints of multicast information, the total power constraints, the energy collection constraints at the receiving end, the power division coefficient constraints, and the constraints based on the fitting of the covariance matrix of the designed sensing beam waveform with the covariance matrix of the actual sensing beam waveform, the objective function is optimized and solved to obtain the optimized values ​​of the precoding of multicast information and private information and the power division coefficients of the receiving sensing node and the private node;

[0062] At the transmitting end, multicast information and private information are sent based on the calculated optimization value;

[0063] At the receiving end, the private node and the perception node receive the signal and perform power splitting on the received signal according to the optimized value of the power splitting coefficient. One part of the split signal is used for information demodulation, and the other part of the signal is used for energy collection. The demodulation signal-to-interference-noise ratio of the private node demodulating private information and the eavesdropping signal-to-interference-noise ratio of the perception node eavesdropping on private information are calculated. At the same time, the energy harvesting model is used for energy collection to obtain the energy collected by the perception node and the private node respectively, thereby realizing information security transmission and energy collection of the receiving node.

[0064] The energy collection model is a nonlinear energy collection model. The transmitting end is a communication sensing and energy transmission integrated base station equipped with N antennas. The sensing node is a potential internal eavesdropper.

[0065] In this implementation, the method for determining the covariance matrix of the designed perception beam waveform is:

[0066]

[0067] tr(R 0 )=P max ,

[0068]

[0069] Where ρ is the 0 Correlation scaling factor, R 0 To design the covariance matrix of the sensing beam waveform, Θ(ρ,R 0 ) is the beam error, L is the total number of sensing angles, θ l is the lth perception angle, the perception angle range is from -π / 2 to π / 2, a(θ l ) represents θ l The direction vector, P max is the total power threshold of the transmitting end. After solving this least squares problem, we can get the ideal sensing beam B 0 The associated scaling factor ρ * and the covariance matrix

[0070] The precoding process of the communication sensing and energy transmission integrated base station at the transmitting end is to equip the multicast information and private information with corresponding precoding before transmission, which are ω m and ω u After properly designing the serial interference removal order, the private node can effectively manage the interference from the multicast information. The serial interference removal order requires that the constraints on the correspondence between the precoding of the multicast information and the private information and the channel are:

[0071]

[0072] Where ω m is the precoding of multicast information, ω u is the precoding of private information, g s is the channel from the transmitter to the sensing node, g p It is the channel from the transmitter to the private node.

[0073] Furthermore, for the precoding ω m and ω u To optimize the confidentiality of private information against internal eavesdropping, the objective function and constraints are established as follows:

[0074]

[0075] ||ωm || 2 +||ω u || 2 ≤P max ,

[0076]

[0077] In the formula is the power division factor of the sensing node, is the power division factor of the private node, SINR p,u The demodulation signal-to-interference-noise ratio for private nodes to demodulate private information, The SINR is the signal-to-interference-to-noise ratio (SINR) of the sensing node eavesdropping on private information. p,m Signal-to-interference-and-noise ratio (SINR) for demodulating multicast information for private nodes s,m The signal-to-interference-noise ratio (SINR) of the multicast information demodulated by the sensing node, is the rate threshold for a single multicast message transmission, E s is the energy collected by the sensing node, is the energy collection threshold of the sensing node, E p The energy collected by the private node, is the energy collection threshold of private nodes, ρ * For B 0 Correlation scaling factor, R 1 is the covariance matrix of the actual sensing beam waveform for multicast and private information transmission, is the covariance matrix of the ideal sensing beam waveform, is the maximum mismatch ratio of beam error.

[0078] In this implementation, the transmitting end applies the optimized precoding ω on the corresponding channel. mo and ω uo , the signal is transmitted. The transmitting end sends the signal: ω mo x m +ω uo x u ,

[0079] Where ω mo is the precoding optimization value for multicast information, x m is the multicast information, ω uo is the pre-coding optimization value of the private information, x u This is private information.

[0080] Next, the information decoding phase of the private node and the perception node at the receiving end is carried out:

[0081] The received signal y at the private node of the receiving end p for:

[0082] In the formula is the Gaussian white noise at the private node of the receiving end, δ 2 is the Gaussian white noise power.

[0083] The information demodulation at the private node includes multicast information demodulation and private information demodulation; while the legitimate information demodulation at the sensing node only includes multicast information demodulation, and there is an eavesdropping threat to the private information at the sensing node.

[0084] Furthermore, according to the power division factor optimization value of the private node For the received signal y p The private node demodulates the private information and the demodulation signal to noise ratio (SINR) is used to decode the private information. p,u The calculation method is:

[0085] The private node uses serial interference cancellation to perform step-by-step demodulation. The SINR of the private node demodulating multicast information is p,m for:

[0086]

[0087] In the formula The noise power generated by the node processing signal; Optimize the power splitting factor value for private nodes;

[0088] The private node demodulates and deletes the multicast information to obtain the demodulation signal-to-interference-and-noise ratio (SINR) of the private node demodulating the private information. p,u :

[0089]

[0090] Similarly, the sensing node optimizes the value according to the power division coefficient The received signal is split into two parts: one part is used to decode the multicast information it needs, and the other part is used for energy collection.

[0091] Eavesdropping signal-to-interference-noise ratio of sensing nodes eavesdropping on private information The calculation method is:

[0092] The SINR of the multicast information demodulated by the sensing node s,m for:

[0093]

[0094] In the formula Optimizing the power splitting factor for the sensing node;

[0095] The sensing node acts as an internal eavesdropper in the network. The eavesdropping signal-to-noise ratio (SINR) of the sensing node eavesdropping on private information for:

[0096]

[0097] Furthermore, energy is collected from private nodes and sensing nodes. After power segmentation of the received signal, energy is collected at the private nodes and sensing nodes using a nonlinear energy collection model.

[0098] The nonlinear energy harvesting model is set as

[0099]

[0100] Where X is the received signal y p The power used for energy harvesting, D 0 is the maximum power when the node energy harvesting reaches saturation, α is the circuit specification parameter of the capacitor, and β is the circuit specification parameter of the resistor.

[0101] Energy E collected by the sensing node s The energy E collected by the private node p The calculation method is:

[0102]

[0103] After completing the power division and energy collection of the currently transmitted information, the information at the next moment is then sent to obtain the solution of the joint precoding and power division coefficients at the next moment, and then the information is demodulated and energy is collected until the end.

[0104] The present invention provides a new solution for secure transmission in a communication, perception, and energy transmission integrated network, and proposes a secure transmission strategy enhanced by non-orthogonal multiple access technology to address the risk of internal eavesdropping in the perception node. By jointly optimizing transmission precoding and power splitting, not only is the confidential transmission rate against internal eavesdropping significantly improved, but also nonlinear energy collection and accurate perception beam patterns are ensured, effectively reducing the risk of eavesdropping. In addition, the method of the present invention can transform the original non-convex optimization problem into a convex optimization problem through a semidefinite relaxation method and an alternating optimization algorithm, and can effectively derive solutions for precoding and power splitting. Therefore, not only is the confidential transmission rate of the network improved, but also the operational sustainability and target perception capabilities of the network in complex environments are enhanced by precisely controlling the flow of energy and information. The flexibility and applicability of the present invention provide an important technical reference for secure information transmission in different scenarios in a communication, perception, and energy transmission integrated network.

[0105] The experimental results of the present invention are described in detail below in conjunction with the accompanying drawings and specific embodiments:

[0106] Embodiment 1:

[0107] Step 1: Establish a multi-node model of the communication sensing and energy transmission integrated network based on non-orthogonal multiple access technology, such as Figure 1 As shown in Figure 1, there are two receiving nodes, and the sensing node is regarded as a potential eavesdropper in the network. The distance between the node and the base station is 25 meters and 15 meters respectively, and the channel Gaussian white noise power is 10 -7 mW, and additional noise power for signal processing 10 -9 mW, the number of antennas N of the base station is 18. Set the threshold for multicast information is 2 bits / s / Hz, and the maximum mismatch ratio allowed between the perceived beam pattern error Serves 10 -4 Considering nonlinear energy harvesting, we set D 0 is 3.9 mW, α = 1500, β = 0.0022, and the minimum energy harvesting threshold and It is 2.5 milliwatts. The transmitting end communication, perception and energy transmission integrated base station needs to ensure that while detecting the perception node, the precoding scheme of the present invention is used to avoid the perception node from eavesdropping on the private information of the private node as much as possible. Of course, the above is just a hypothetical situation in this example. In other cases, for example, the eavesdropper can be an external node that is not registered in the network. Similarly, the scheme proposed by the present invention can also enhance the communication security of the private node that is communicating at this time after adjustment.

[0108] Step 2: Obtain the designed perception beam diagram, that is, minimize the beam error between the ideal perception beam diagram and the designed perception beam diagram to obtain the pre-designed perception beam, such as Figure 2 Pre-designed perceptual beam pattern curves in .

[0109] Step 3: The communication sensing and energy transmission integrated base station obtains precoding, and equips the multicast information and private information with corresponding precoding before transmission, so as to maximize the confidentiality transmission performance of private information against internal eavesdropping, and use the method of the present invention to ensure nonlinear energy collection and accurate sensing beam. Figure 3 As shown in FIG. 1 , the iterative algorithm used in the present invention converges quickly and obtains the corresponding solution. In addition, as the iteration proceeds, the eavesdropping rate of private information is reduced from 10.01 bits / second / Hz to nearly zero, which verifies the feasibility of the optimization scheme proposed in the present invention and significantly improves the security performance. Figure 2As shown, the total beam of the mixture of private and multicast signals points to the 0° perception direction, and the pre-designed beam diagram obtained in step 2 is very consistent with the actual transmission beam. Therefore, the actual transmission beam can meet the detection requirements for the perception nodes, and the multicast beam is also more concentratedly directed to the perception nodes to enhance communication; on the contrary, the unicast beam is optimized to avoid the direction of the perception nodes, which proves that the security scheme in the method of the present invention can effectively prevent the perception nodes from becoming internal eavesdroppers of private messages.

[0110] Step 4: This step is the decoding stage after power division at the private node and the sensing node; wherein the private node obtains the information it needs according to the serial interference deletion, for example Figure 4 As shown;

[0111] Step 5: This step is the energy collection stage of the private node and the sensing node. After the power of the received signal is divided in step 4, energy is collected using a nonlinear energy collection model. The energy collection model used in the present invention is as follows: Figure 5 .exist Figure 6 The power comparison of private nodes and sensing nodes for energy collection and information demodulation is shown in the figure: the basic energy collection requirements of private nodes in the present invention meet the baseline, and the remaining receiving power is mainly used for information demodulation to enhance security, thereby maximizing the confidentiality transmission rate of private information; for sensing nodes, the power of energy collection and information demodulation increases with the increase of total transmission power. While ensuring the service quality requirements of multicast messages, more power can be allocated at the sensing nodes for energy collection to ensure continuous energy supply. The solution of the present invention shows the ability to balance energy supply and security in a communication, perception, transmission and energy integrated network.

[0112] Step 6: In this step, the transmitter sends the information at the next moment, jumps to step 3 to solve the joint precoding and power division coefficient solution and sends it, then performs demodulation at different nodes in step 4, and collects energy in step 5.

[0113] Embodiment 2:

[0114] The method of the present invention is used to verify the combination of different numbers of transmitting antennas, different transmitting powers, and different thresholds of multicast information. Experiments show that different combinations can ensure the confidentiality transmission performance of private nodes.

[0115] Figure 7As shown in , the method of the present invention meets the multicast service quality requirements under different combinations of situations and can maintain the stability of multicast transmission under various transmission powers. In addition, as the threshold of multicast information increases, more resources are allocated to multicast transmission, resulting in a decrease in the confidential transmission rate of private information, which can be compensated by increasing the transmission power. In addition, the eavesdropping rate of private information under different transmission powers and different thresholds of multicast information is always close to zero, indicating the effectiveness of the method of the present invention in preventing eavesdropping. Figure 8 It is studied and demonstrated that for a fixed threshold, a larger number of transmit antennas can also significantly enhance the confidentiality rate, thereby indicating that more antennas can provide higher efficiency in beamforming and spatial multiplexing of the present invention.

[0116] Although the present invention is described herein with reference to specific embodiments, it should be understood that these embodiments are merely examples of the principles and applications of the present invention. It should therefore be understood that many modifications may be made to the exemplary embodiments and that other arrangements may be devised without departing from the spirit and scope of the present invention as defined by the appended claims. It should be understood that the various dependent claims and features described herein may be combined in a manner different from that described in the original claims. It should also be understood that the features described in conjunction with a single embodiment may be used in other described embodiments.

Claims

1. A communication, perception and energy transmission integrated network security transmission method, characterized in that: include: The multicast information and private information are sent at the transmitting end; the multicast information and private information are received at the receiving end through the sensing node and the private node; By minimizing the beam error between the ideal sensing beam B0 and the designed sensing beam, the covariance matrix of the designed sensing beam waveform is determined; at the same time, the constraints on the correspondence between the precoding of multicast information and private information and the channel are established at the transmitting end; Based on the demodulation signal-to-interference-noise ratio of the private node demodulating the private information and the eavesdropping signal-to-interference-noise ratio of the sensing node eavesdropping on the private information, an objective function is established with the goal of maximizing the confidential transmission rate of the private information against internal eavesdropping; based on the constraints between precoding and channel, the quality constraints of multicast information, the total power constraints, the energy collection constraints at the receiving end, the power division coefficient constraints, and the constraints based on the fitting of the covariance matrix of the designed sensing beam waveform with the covariance matrix of the actual sensing beam waveform, the objective function is optimized and solved to obtain the optimized values ​​of the precoding of multicast information and private information and the power division coefficients of the receiving sensing node and the private node; At the transmitting end, multicast information and private information are sent based on the calculated optimization value; At the receiving end, the power of the received signal is split according to the optimized value of the power split coefficient, and the demodulation signal-to-interference-noise ratio of the private node demodulating the private information and the eavesdropping signal-to-interference-noise ratio of the sensing node eavesdropping on the private information are calculated; At the same time, the energy harvesting model is used to collect energy, and the energy collected by the sensing node and the private node are obtained respectively, so as to realize the energy collection of information security transmission and receiving nodes.

2. The communication, perception and energy transmission integrated network security transmission method according to claim 1 is characterized in that: The method for determining the covariance matrix of the designed sensing beam waveform is: Where ρ is the scaling factor related to R0, R0 is the covariance matrix of the designed perception beam waveform, Θ(ρ,R0) is the beam error, L is the total number of perception angles, θ l is the lth perception angle, the perception angle range is from -π / 2 to π / 2, a(θ l ) represents θ l The direction vector, P max is the total power threshold of the transmitter.

3. The communication, perception and energy transmission integrated network security transmission method according to claim 2 is characterized in that: The constraints on the correspondence between the precoding of multicast information and private information and the channel are: Where ω m is the precoding of multicast information, ω u is the precoding of private information, g s is the channel from the transmitter to the sensing node, g p It is the channel from the transmitter to the private node.

4. The communication, perception and energy transmission integrated network security transmission method according to claim 3 is characterized in that: The objective function and constraints are established as follows: ||ω m || 2 +||ω u || 2 ≤P max , In the formula is the power division factor of the sensing node, is the power division factor of the private node, SINR p,u The demodulation signal-to-interference-noise ratio for private nodes to demodulate private information, The SINR is the signal-to-interference-to-noise ratio (SINR) of the sensing node eavesdropping on private information. p,m Signal-to-interference-and-noise ratio (SINR) for demodulating multicast information for private nodes s,m The signal-to-interference-noise ratio (SINR) of the multicast information demodulated by the sensing node, is the rate threshold for multicast information transmission, E s is the energy collected by the sensing node, is the energy collection threshold of the sensing node, E p The energy collected by the private node, is the energy collection threshold of private nodes, ρ * is the scaling factor associated with B0, R1 is the covariance matrix of the actual sensing beam waveform for sending multicast information and private information, is the covariance matrix of the ideal sensing beam waveform, is the maximum mismatch ratio of beam error.

5. The communication, perception and energy transmission integrated network security transmission method according to claim 4 is characterized in that: The signal sent by the transmitter is: mo x m +ω uo x u , Where ω mo is the precoding optimization value for multicast information, x m is the multicast information, ω uo is the pre-coding optimization value of the private information, x u This is private information.

6. The communication, perception and energy transmission integrated network security transmission method according to claim 5 is characterized in that: The received signal y at the private node of the receiving end p for: In the formula is the Gaussian white noise at the private node of the receiving end, δ 2 is the Gaussian white noise power.

7. The communication, perception and energy transmission integrated network security transmission method according to claim 6 is characterized in that: The demodulation signal-to-interference-and-noise ratio (SINR) of the private node to demodulate the private information p,u The calculation method is: SINR of the private node demodulating multicast information p,m for: In the formula The noise power generated by the node processing signal; Optimize the power splitting factor for private nodes; The private node demodulates and deletes the multicast information to obtain the demodulation signal-to-interference-and-noise ratio (SINR) of the private node demodulating the private information. p,u :

8. The communication, perception and energy transmission integrated network security transmission method according to claim 7 is characterized in that: Eavesdropping signal-to-interference-noise ratio of sensing nodes eavesdropping on private information The calculation method is: The SINR of the multicast information demodulated by the sensing node s,m for: In the formula Optimizing the power splitting factor for the sensing node; Eavesdropping signal-to-interference-noise ratio of sensing nodes eavesdropping on private information for:

9. The communication, perception and energy transmission integrated network security transmission method according to claim 8 is characterized in that: The energy harvesting model is set up as Where X is the received signal y p , D0 is the maximum power when the node energy harvesting reaches saturation, α is the circuit specification parameter of the capacitor, and β is the circuit specification parameter of the resistor.

10. The communication, perception and energy transmission integrated network security transmission method according to claim 9 is characterized in that: Energy E collected by the sensing node s The energy E collected by the private node p The calculation method is:

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