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IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)

Enhancing Security in RSMA Networks with Cooperative Jamming and Relaying

Haoran Pang, Fei Ji, Zhaolong Ning, Jian Zhao, Miaowen Wen

Published Sep 25, 2023• 5 citations
Publisher

Abstract

Cooperative rate-splitting multiple access (RSMA) has emerged as a promising solution for increasing spectral efficiency over conventional RSMA. On the other hand, the presence of eavesdroppers seriously compromises secure communication due to the open nature of the wireless channel. In this paper, we study the physical-layer security (PLS) of a two-user downlink cooperative RSMA network in the presence of an eavesdropper. The cooperative jamming and relaying scheme is proposed to enhance diversity and security, where the near user opportunistically generates an artificial noise (AN) and forwards its decoded common message in two transmission phases. Our goal is to maximize the worst-case secrecy rate (SR) of both users by jointly optimizing beamforming vectors and resource allocation. To address the challenges posed by the non-convexity of the optimization problem, we propose a sequential parametric convex approximation (SPCA)-based iterative algorithm, which involves approximating the non-convex objective and constraints with a sequence of convex functions. The effectiveness of the proposed scheme is verified through the simulation results.

DOI
10.1109/spawc53906.2023.10304495

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Cooperative rate-splitting multiple access (RSMA) has emerged as a promising solution for increasing spectral efficiency over conventional RSMA. On the other hand, the presence of eavesdroppers seriously compromises secure communication due to the open nature of the wireless channel. In this paper, we study the physical-layer security (PLS) of a two-user downlink cooperative RSMA network in the presence of an eavesdropper. The cooperative jamming and relaying scheme is proposed to enhance diversity and security, where the near user opportunistically generates an artificial noise (AN) and forwards its decoded common message in two transmission phases. Our goal is to maximize the worst-case secrecy rate (SR) of both users by jointly optimizing beamforming vectors and resource allocation. To address the challenges posed by the non-convexity of the optimization problem, we propose a sequential parametric convex approximation (SPCA)-based iterative algorithm, which involves approximating the non-convex objective and constraints with a sequence of convex functions. The effectiveness of the proposed scheme is verified through the simulation results.
Cooperative rate-splitting multiple access (C-RSMA) has emerged as a promising solution for increasing spectral efficiency over conventional RSMA. On the other hand, the presence of eavesdroppers seriously compromises secure communications due to the open nature of the wireless channel. In this paper, we study a physical-layer security (PLS) problem for a two-user C-RSMA system in the presence of an eavesdropper. The cooperative jamming and relaying scheme is proposed to enhance diversity and security, where the near user opportunistically generates an artificial noise (AN) and forwards its decoded common message in two transmission phases. Our goal is to maximize the minimum secrecy rate (SR) for both users by the joint design of beamforming and resource allocation. To address the challenges arising from the non-convexity of the problem, we propose a sequential parametric convex approximation (SPCA)-based iterative algorithm, which entails approximating the non-convex objective and constraints by utilizing sequences of convex functions. Moreover, we study two SR maximization problems involving two different partial channel state information cases, and then resolve them by applying two novel SPCA-based iterative algorithms. Simulation results verify the effectiveness of the proposed scheme, demonstrating a significant improvement in SR compared to the schemes without jamming or relaying transmission.
Securing the wireless transmissions in the physical layer is a new perspective of security. In a wireless relay system, cooperative beamforming and jamming are two efficient schemes to improve the physical-layer security in the presence of passive eavesdroppers. However, in most works these two techniques are used in phase II of the cooperative transmission, which leaves the phase I out of protection. In this paper, we propose a joint cooperative beamforming and jamming scheme to enhance the security of a cooperative relay network, where a part of intermediate nodes adopt distributed beamforming while others jam the eavesdropper, simultaneously, such that both phases are secured. Since the instantaneous channel state information (CSI) of the eavesdropper may not be known, we propose a cooperative artificial noise transmission based secrecy strategy, subjected to the individual power constraint of each node. The beamformer weights and power allocation can be obtained by solving a second-order convex cone programming (SOCP) together with a linear programming problem. Simulations show the joint scheme greatly improves the security.
Cooperative relaying and jamming are two efficient schemes to improve the Physical-layer security of a wireless transmission in the presence of multiple eavesdroppers. In this paper, we consider their cooperation in the context of AF-based two-way relay. We propose a hybrid cooperative relaying and jamming mechanism to enhance the security of a two-way relay network, where all the intermediate nodes not only adopt distributed beamforming but also jam the eavesdroppers to maximize the sum secrecy rate of the two terminals. We give the closed form solution of jamming weight vector and present the optimal relay beamforming scheme as well as an efficient algorithm to compute the optimal beamforming matrix based on convex optimization techniques. Simulations show that the proposed scheme greatly improves the security of the two-way relay network.
In this paper, we employ Cooperative Rate-Splitting (CRS) technique to enhance the Secrecy Sum Rate (SSR) for the Multiple Input Single Output (MISO) Broadcast Channel (BC), consisting of two legitimate users and one eavesdropper, with perfect Channel State Information (CSI) available at all nodes. For CRS based on the three-node relay channel, the transmitter splits and encodes the messages of legitimate users into common and private streams based on Rate-Splitting (RS). With the goal of maximizing SSR, the proposed CRS strategy opportunistically asks the relaying legitimate user to forward its decoded common message. During the transmission, the eavesdropper keeps wiretapping silently. To ensure secure transmission, the common message is used for the dual purpose, serving both as a desired message and Artificial Noise (AN) without consuming extra transmit power comparing to the conventional AN design. Taking into account the total power constraint and the Physical Layer (PHY) security, the precoders and timeslot allocation are jointly optimized by solving the nonconvex SSR maximization problem based on Sequential Convex Approximation (SCA) algorithm. Numerical results show that the proposed CRS secure transmission scheme outperforms existing Multi-User Linear Precoding (MU-LP) and Cooperative Non-Orthogonal Multiple Access (C-NOMA) strategies. Therefore, CRS is a promising strategy to enhance the PHY security in Multi-antenna BC systems.
This paper proposes a new joint cooperative beamforming and jamming (JCBJ) scheme for improving the physical layer security of decode-and-forward wireless networks where a source node transmits to its destination with the aid of multiple intermediate nodes in the presence of an eavesdropper. In the proposed JCBJ scheme, we select the intermediate nodes succeeding in source decoding as the relays to forward the source transmission simultaneously by employing a beamforming weight vector, and meanwhile, use the remaining ones as the friendly jammers to disturb the eavesdropper by sending artificial noise. In order to achieve the secrecy rate maximum, we further study on the power allocation among the source, relays, and jammers under two assumptions of the wiretap link's channel state information. We derive the closed-form optimal solutions by first allocating the transmit power at the source within different ranges to consider all the possible relay selection schemes in which different numbers of relays are employed, and then transforming the multivariable power allocation problem to a set of single-variable optimization subproblems. Our numerical results show the superiority of the proposed JCBJ scheme and the proposed power allocation strategies.
Cooperative beamforming and jamming are two efficient schemes to improve the physical-layer security of a wireless relay system in the presence of passive eavesdroppers. However, in most works these two techniques are adopted separately. In this letter, we propose a joint cooperative beamforming and jamming scheme to enhance the security of a cooperative relay network, where a part of intermediate nodes adopt distributed beamforming while others jam the eavesdropper, simultaneously. Since the instantaneous channel state information (CSI) of the eavesdropper may not be known, we propose a cooperative artificial noise transmission based secrecy strategy, subjected to the individual power constraint of each node. The beamformer weights and power allocation can be obtained by solving a second-order convex cone programming (SOCP) together with a linear programming problem. Simulations show the joint scheme greatly improves the security.