A physical layer encryption method for RSMA communication combining artificial noise and network coding

Abstract

This invention discloses a physical layer security method for RSMA communication combining artificial noise and network coding. In the first time slot, based on the channel state information from the source node to the relay node and from the relay node to the trusted user, an optimal full-duplex relay is selected using the maximum-minimum relay selection method to receive the RSMA signal transmitted by the source node. The selected relay simultaneously transmits artificial noise to weaken the untrusted user, and the full-duplex trusted user also transmits artificial noise to interfere with the untrusted user. In the second time slot, the optimal relay decodes the received signal according to the RSMA mechanism, uses network coding to encode the artificial noise generated by the relay in the first time slot and the signal sent to the trusted user, and then uses RSMA technology to encode the resulting network-coded signal, the public signal, and the signal sent to the untrusted user into an RSMA signal, which is then forwarded. This invention improves the security of legitimate users while ensuring the transmission reliability of untrusted users.

Description

Technical Field

[0001] This invention belongs to the field of wireless communication security technology, and more specifically, relates to a method for securing the physical layer of RSMA communication by combining artificial noise and network coding. Background Technology

[0002] In wireless communication systems, multiple access technology is the core technology supporting efficient spectrum utilization and multi-user spectrum resource sharing. With the development of 5G / 6G technologies, systems need to meet requirements such as massive connectivity, high reliability, low latency, and large capacity. RSMA, as a novel non-orthogonal multiple access technology, splits user messages into public and private parts, encoding and transmitting them on the same resources to achieve efficient interference management. It combines the flexibility of Space Division Multiple Access (SDMA) with the high spectral efficiency of Non-orthogonal Multiple Access (NOMA). Therefore, it is considered a key candidate technology for 6G.

[0003] In wireless communication networks, the broadcast nature of wireless signals makes information security issues increasingly prominent. Traditional encryption technologies have limitations in key management and computational complexity. Physical layer security technologies, on the other hand, utilize the differences in wireless channels and the physical characteristics of signals to ensure that legitimate receivers can correctly decode the signals while eavesdroppers cannot effectively obtain the source information. Thus, physical layer security has become an important supplement to secure communication technologies. Artificial noise, as a typical physical layer security technology, can enhance the system's confidentiality capacity by actively interfering with eavesdropping channels. However, existing methods often struggle to effectively balance enhanced security with ensuring the reliability of user transmissions within the system. Summary of the Invention

[0004] To address the aforementioned issues, this invention proposes a physical layer security method for RSMA communication that combines artificial noise and network coding. This method uses full-duplex relays to collaboratively transmit artificial noise to interfere with untrusted users, and employs network coding to fuse the artificial noise with the signal to be transmitted. Finally, it utilizes Rate-splitting multiple access (RSMA) technology for integrated coding and forwarding. This method improves the security of legitimate users while ensuring the transmission reliability of untrusted users.

[0005] To address at least one of the aforementioned technical problems, according to one aspect of the present invention, a method for securing the physical layer of RSMA communication using a combination of artificial noise and network coding is provided, comprising the following steps:

[0006] In the first time slot, based on the channel state information from the source node to the relay node and from the relay node to the trusted user, the maximum-minimum relay selection method is used to select an optimal full-duplex relay to receive the RSMA signal sent by the source node. The selected relay simultaneously sends artificial noise to weaken the untrusted user, and the full-duplex trusted user also sends artificial noise to interfere with the untrusted user. In the second time slot, the optimal relay decodes the received signal according to the RSMA mechanism, uses network coding to encode the artificial noise generated by the relay in the first time slot and the signal sent to the trusted user, and then uses RSMA technology to encode the resulting network-coded signal, the public signal and the signal sent to the untrusted user into an RSMA signal, and forwards it.

[0007] A cooperative communication system includes a source node, The secure communication scheme consists of one full-duplex relay, one full-duplex trusted user, and one single-antenna untrusted user. The implementation steps are as follows:

[0008] In the first time slot, the source node sends an RSMA signal. ,in Indicates a user's public signal. and These represent private signals sent to trusted users and untrusted users, respectively. , and These represent the power allocation coefficients for public signals, trusted users, and untrusted users, respectively. Then, a maximum-minimum selection algorithm is used to select the optimal relay, which receives RSMA signals. Simultaneously send artificial noise Weaken untrusted users, trusted users send artificial noise Countering untrusted users; calculating the corresponding signal-to-interference-plus-noise ratio (SINR) and signal-to-noise ratio (SNR) for selected relays, trusted users, and untrusted users;

[0009] In the second time slot, the RSMA signal received by the selected relay decoder is used to remove the artificial noise generated in the first time slot through network coding. and trusted user signals Encoded as Then use the RSMA mechanism to... Public signal and untrusted user signals Constructing signals Then the RSMA signal is forwarded, and trusted and untrusted users calculate the corresponding signal-to-interference-plus-noise ratio and signal-to-noise ratio based on the received signal, respectively.

[0010] Finally, trusted and untrusted users calculate the corresponding interruption probability and eavesdropping probability based on the obtained signal-to-interference-plus-noise ratio and signal-to-noise ratio.

[0011] In the first time slot, according to the maximum-minimum relay selection method, from The optimal relay is selected from among the relay nodes, and the specific relay selection rules are as follows: ,in and Let represent the channel gain coefficient from the source node to the j-th relay, and the channel gain coefficient from the j-th relay to the trusted user, respectively. express A set consisting of full-duplex relay nodes; the signal received by the selected optimal relay is ,in This represents the channel gain coefficient between the trusted user and the selected optimal relay. This represents the residual self-interference coefficient of the selected relay after self-interference cancellation. and The signal transmission power of the source node and the trusted user are respectively. This refers to the signal transmission power of the relay. Indicates the power at the relay node is Additive white Gaussian noise;

[0012] Relay decoding of public signals The signal-to-interference-plus-noise ratio is Relay decoding signal and The signal-to-interference-plus-noise ratios are respectively and ,in, , This represents the residual self-interference at the relay node, where , This is the residual self-interference threshold value.

[0013] Trusted users and untrusted users The signals received in the first time slot are respectively and ,in and These represent the optimal relay to the trusted user. and untrusted users The channel gain coefficient, For trusted users To untrusted users The channel gain coefficient, Indicates a trusted user Residual self-interference channel gain coefficient, and Trusted users and untrusted users The additive Gaussian noise at each location has a power of [value missing]. ;

[0014] Trusted and untrusted users decode signals The signal-to-interference-plus-noise ratios are respectively and ;in, , , The power of the relay signal. For trusted users The residual self-interference, and Indicates a trusted user The signal transmission power.

[0015] In the second time slot, the optimal relay will encode the resulting RSMA signal. The signal is sent to trusted and untrusted users in the system; it is easy to see that trusted and untrusted users receive the signal as follows: and ;

[0016] Trusted User Decoding Signal and The signal-to-interference-plus-noise ratios are respectively and ,in, ,and Indicates the transmit power of the selected relay; decoded signal for untrusted users. The signal-to-interference-plus-noise ratio is Untrusted user decoding signal The signal-to-interference-plus-noise ratio is Decoding signal signal-to-noise ratio .

[0017] Based on the signal-to-noise ratio (SNR) and signal-to-interference-plus-noise ratio (SINR) of trusted users in the first and second time slots, the probability of interruption and the probability of eavesdropping are obtained by the trusted user:

[0018] ,

[0019] and

[0020] ;

[0021] in, , and They represent signals respectively. , and Decoding threshold, This indicates the threshold at which a signal can be eavesdropped.

[0022] Based on the signal-to-noise ratio (SNR) and signal-to-interference-plus-noise ratio (SINR) related to the first and second time slots, the untrusted user obtains the following outage probability:

[0023] ,

[0024] in, , and They represent signals respectively. , and Decoding threshold, This indicates the threshold at which a signal can be eavesdropped.

[0025] According to another aspect of the present invention, a computer-readable storage medium is provided having a computer program stored thereon, which, when executed by a processor, implements the steps of the RSMA communication physical layer encryption method of the present invention, which combines artificial noise and network coding.

[0026] According to another aspect of the present invention, a computer device is provided, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor, when executing the program, implements the steps of the RSMA communication physical layer encryption method of the present invention, which combines artificial noise and network coding.

[0027] Compared with existing technologies, the beneficial effects of the above-described method of the present invention are as follows:

[0028] This invention constructs a secure communication scheme by network encoding artificial noise generated by relays with trusted user signals. This scheme improves the physical layer security of trusted users without sacrificing the transmission reliability of system users, thereby achieving fairness between trusted and untrusted users in the RSMA network.

[0029] This invention can effectively improve the utilization efficiency of spectrum resources and achieve precise control over interference. In addition, by dynamically selecting the optimal relay through the maximum and minimum relay selection technology, the robustness of the solution is significantly improved, and the performance limit of the solution is effectively broken.

[0030] Compared with traditional artificial noise schemes, the secure communication scheme proposed in this invention can not only enhance the security of trusted user information transmission, but also ensure the reliability of untrusted user data transmission, effectively realizing fair communication among users in RSMA networks. Attached Figure Description

[0031] To more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings of the embodiments will be briefly described below. Obviously, the drawings described below only relate to some embodiments of the present invention and are not intended to limit the present invention.

[0032] Figure 1 This is a model diagram of the application scenario of a preferred embodiment of the present invention;

[0033] Figure 2 A flowchart of a preferred embodiment of the method of the present invention;

[0034] Figure 3 This is a comparison chart of the interruption probability and eavesdropping probability of trusted and untrusted users for the present invention and the comparative scheme.

[0035] Figure 4 This is a comparison chart showing the compromise performance of the present invention and the comparative scheme in terms of trusted user security and reliability. Detailed Implementation

[0036] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention.

[0037] Unless otherwise defined, the technical or scientific terms used herein shall have the ordinary meaning as understood by one of ordinary skill in the art to which this invention pertains.

[0038] Example 1:

[0039] like Figure 1-4 As shown, this invention provides a physical layer security method for RSMA communication that combines artificial noise and network coding. It is applied to communication scenarios where a cooperative communication network using the RSMA mechanism with multiple full-duplex relay nodes is subjected to eavesdropping attacks by untrusted users. The method includes a source node, One full-duplex relay, one full-duplex trusted user, and one single-antenna untrusted user.

[0040] like Figure 2 As shown, it includes the following steps:

[0041] Step 1: In the first time slot, the source node sends an RSMA signal. Then, the maximum-minimum selection algorithm is used to select the optimal relay. The specific relay selection rules are as follows: The relay receives RSMA signals. Simultaneously send artificial noise Weaken untrusted users, trusted users send artificial noise To combat untrusted users; the signal received by the selected optimal relay is Relay decoding of public signals The signal-to-interference-plus-noise ratio is Relay decoding signal and The signal-to-interference-plus-noise ratios are respectively and ;

[0042] Step 2, Trusted Users and untrusted users The signals received in the first time slot are respectively and Trusted and untrusted users decode signals The signal-to-interference-plus-noise ratios are respectively and .

[0043] Step 3: In the second time slot, the optimal relay encodes the resulting RSMA signal. The signal is sent to trusted and untrusted users in the system; it is easy to see that trusted and untrusted users receive the signal as follows: and Trusted user decoding signal and The signal-to-interference-plus-noise ratios are respectively and Untrusted user decoding signal The signal-to-interference-plus-noise ratio is Untrusted user decoding signal The signal-to-interference-plus-noise ratio is Decoding signal signal-to-noise ratio And combined with the signals eavesdropped in the first time slot They stole trusted user signals.

[0044] Step 4: Based on the signal-to-noise ratio (SNR) and signal-to-interference-plus-noise ratio (SINR) of trusted users in the first and second time slots, the trusted user obtains the interruption probability and eavesdropping probability as follows:

[0045] ,

[0046] and

[0047] ;

[0048] Based on the signal-to-noise ratio (SNR) and signal-to-interference-plus-noise ratio (SINR) related to the first and second time slots, the untrusted user obtains the following outage probability:

[0049] ;

[0050] The following is a simulation using Matlab on a computer to realize the interruption probability of trusted and untrusted users, as well as the eavesdropping probability of trusted users. In the simulation, it is assumed that the wireless channels are independent and follow Rayleigh fading. Follow the mean Exponential distribution, where .set up , , , , , dB , , , , , and .

[0051] Figure 3 for Interruption and eavesdropping probabilities for trusted and untrusted users are plotted. Figure 3 It is evident that as the transmission power increases, the reliability of RSMA-based wireless transmission continuously improves, while its security continuously deteriorates, indicating a mutually restrictive relationship between security and reliability. Furthermore, it can be seen that for trusted users, the proposed solution enhances security without compromising reliability. Simultaneously, the proposed solution significantly improves the reliability for untrusted users. Therefore, the communication scheme proposed in this invention achieves fairness in communication between trusted and untrusted users.

[0052] Figure 4 This is a curve illustrating the security and reliability trade-off for trusted users. For trusted users, the artificial noise scheme proposed in this invention offers a better security and reliability trade-off performance than traditional artificial noise schemes. In other words, given a specific reliability requirement for the system, the probability of eavesdropping using the artificial noise scheme proposed in this invention is lower than that of traditional artificial noise, and the security increases accordingly with the number of relays.

[0053] Example 2:

[0054] The computer-readable storage medium of this embodiment stores a computer program that, when executed by a processor, implements the steps of the RSMA communication physical layer encryption method of embodiment 1, which combines artificial noise and network coding.

[0055] The computer-readable storage medium in this embodiment can be an internal storage unit of the terminal, such as the terminal's hard disk or memory; the computer-readable storage medium in this embodiment can also be an external storage device of the terminal, such as a plug-in hard disk, smart memory card, secure digital card, flash memory card, etc. equipped on the terminal; furthermore, the computer-readable storage medium can include both the terminal's internal storage unit and external storage devices.

[0056] The computer-readable storage medium of this embodiment is used to store computer programs and other programs and data required by the terminal. The computer-readable storage medium can also be used to temporarily store data that has been output or will be output.

[0057] Example 3:

[0058] The computer device of this embodiment includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the program, it implements the steps in the RSMA communication physical layer encryption method of combined artificial noise and network coding in Embodiment 1.

[0059] In this embodiment, the processor can be a central processing unit, or other general-purpose processors, digital signal processors, application-specific integrated circuits, off-the-shelf programmable gate arrays or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor can be a microprocessor or any conventional processor, etc. The memory can include read-only memory and random access memory, and provides instructions and data to the processor. A portion of the memory can also include non-volatile random access memory. For example, the memory can also store device type information.

[0060] Those skilled in the art will understand that the content disclosed in the embodiments can be provided as a method, system, or computer program product. Therefore, this solution can take the form of a hardware embodiment, a software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this solution can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage and optical storage) containing computer-usable program code.

[0061] This solution is described with reference to flowchart illustrations and / or block diagrams of methods and computer program products according to embodiments of this solution. It should be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing device to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing device, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0062] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0063] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0064] Those skilled in the art will understand that all or part of the processes in the above embodiments can be implemented by a computer program instructing related hardware. The program can be stored in a computer-readable storage medium, and when executed, it can include the processes of the embodiments of the above methods. The storage medium can be a magnetic disk, optical disk, read-only memory (ROM), or random access memory (RAM), etc.

[0065] The examples described herein are merely preferred embodiments of the invention and are not intended to limit the concept and scope of the invention. Any modifications and improvements made by those skilled in the art to the technical solutions of the invention without departing from the design concept of the invention should fall within the protection scope of the invention.

[0066] The foregoing has shown and described the basic principles, main features, and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the specific embodiments described above. The specific embodiments and descriptions in the specification are merely for further illustrating the principles of the invention. Various changes and modifications can be made to the present invention without departing from its spirit and scope, and all such changes and modifications fall within the scope of the present invention as claimed. The scope of protection of the present invention is defined by the claims and their equivalents.

Claims

1. A method for RSMA communication physical layer secrecy combining artificial noise and network coding, characterized in that, In the first time slot, based on the channel state information from the source node to the relay node and from the relay node to the trusted user, the maximum and minimum relay selection method is used to select an optimal full-duplex relay to receive the RSMA signal sent by the source node. The selected relay simultaneously sends artificial noise to weaken the untrusted user, and the full-duplex trusted user also sends artificial noise to interfere with the untrusted user. In the second time slot, the optimal relay decodes the received signal according to the RSMA mechanism, uses network coding to encode the artificial noise generated by the relay in the first time slot and the signal sent to trusted users, and then uses RSMA technology to encode the resulting network-coded signal, public signal and signal sent to untrusted users into an RSMA signal, and forwards it.

2. The method as described in claim 1, characterized in that, comprising a source node, a full duplex relay, a full duplex trusted user and a single antenna untrusted user; In the first time slot, the source node transmits RSMA signal wherein represents a user public signal, and respectively represent private signals transmitted to trusted users and untrusted users, , and respectively represent power allocation coefficients of the public signal, the trusted users and the untrusted users; and an optimal relay is selected by using a max-min selection algorithm, the relay transmits artificial noise at the same time of receiving the RSMA signal to weaken the untrusted users, and the trusted users transmit artificial noise to counter the untrusted users; The corresponding signal-to-interference-plus-noise ratio (SINR) and signal-to-noise ratio (SNR) are calculated for the selected relays, trusted users, and untrusted users. In the second time slot, the selected relay decodes the received RSMA signal, uses network coding to remove the artificial noise generated in the first time slot and the trusted user signal is encoded as , the public signal , and the untrusted user signal is constructed , the signal is then forwarded, and the trusted and untrusted users respectively compute the corresponding signal-to-interference-and-noise ratio and signal-to-noise ratio from the received signal; Finally, trusted and untrusted users calculate the corresponding interruption probability and eavesdropping probability based on the obtained signal-to-interference-plus-noise ratio and signal-to-noise ratio.

3. The method as described in claim 2, characterized in that, In the first time slot, the optimal relay is selected from the relay nodes according to the max-min relay selection method, and the specific relay selection rule is as follows: Wherein and respectively represent the channel gain coefficient from the source node to the jth relay, and the channel gain coefficient from the jth relay to the trusted user, represent a set consisting of the full-duplex relay nodes. The signal received by the selected optimal relay is where denotes the channel gain coefficient between the trusted user and the selected optimal relay, denotes the residual self-interference coefficient at the selected relay after self-interference cancellation, and denote the signal transmit power of the source node and the trusted user, respectively, denotes the signal transmit power of the relay, denotes the additive white Gaussian noise at the relay node with power .

4. The method as described in claim 3, characterized in that, Relay-decoded public signal The signal-to-interference-plus-noise ratio of the relay-decoded public signal The signal-to-interference-plus-noise ratio of the relay-decoded signal and The signal-to-interference-plus-noise ratio of the relay-decoded signal and wherein , denotes the residual self-interference at the relay node, wherein , is a residual self-interference threshold value.

5. The method as described in claim 4, characterized in that, trusted user and untrusted user The received signals at the first time slot are respectively and where and denote the channel gain coefficients from the optimal relay to the trusted user and untrusted user respectively, is the channel gain coefficient from the trusted user to the untrusted user , denotes the residual self-interference channel gain coefficient of the trusted user , and are the additive Gaussian noises at the trusted user and untrusted user with equal power ; Trusted and untrusted users decode signals The signal-to-interference-plus-noise ratios are respectively and ;in, , , The power of the relay signal. For trusted users The residual self-interference, and Indicates a trusted user The signal transmission power.

6. The method as described in claim 5, characterized in that, In the second time slot, the optimal relay will encode the resulting RSMA signal. Send to trusted and untrusted users in the system; Trusted and untrusted users receive signals as follows and ; Trusted User Decoding Signal and The signal-to-interference-plus-noise ratios are respectively and ,in, ,and Indicates the transmit power of the selected relay; decoded signal for untrusted users. The signal-to-interference-plus-noise ratio is Untrusted user decoding signal The signal-to-interference-plus-noise ratio is Decoding signal signal-to-noise ratio .

7. The method as described in claim 6, characterized in that, Based on the signal-to-noise ratio (SNR) and signal-to-interference-plus-noise ratio (SINR) of trusted users in the first and second time slots, the probability of interruption and the probability of eavesdropping are obtained by the trusted user: ， and ； in, , and They represent signals respectively. , and Decoding threshold, The threshold indicating when a signal can be eavesdropped on; Based on the signal-to-noise ratio (SNR) and signal-to-interference-plus-noise ratio (SINR) related to the first and second time slots, the untrusted user obtains the following outage probability: ， in, , and They represent signals respectively. , and Decoding threshold, This indicates the threshold at which a signal can be eavesdropped.

8. A computer-readable storage medium having a computer program stored thereon, characterized in that: When executed by a processor, the program implements the steps in the RSMA communication physical layer encryption method of combined artificial noise and network coding as described in any one of claims 1 to 7.

9. A computer device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the program, it implements the steps in the RSMA communication physical layer encryption method of combined artificial noise and network coding as described in any one of claims 1 to 7.

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