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arXiv:2401.14666 · IEEE Communications Letters

Joint Transmitter Design for Robust Secure Radar-Communication Coexistence Systems

Peng Liu, Zesong Fei, Xinyi Wang, Zhong Zheng, Xiangnan Li, Jie Xu

Published May 31, 2024• 11 citations
arXivHTMLPDF

Abstract

This letter investigates the spectrum sharing between a multiple-input single-output (MISO) secure communication system and a multiple-input multiple-output (MIMO) radar system in the presence of one suspicious eavesdropper. We harness the detrimental radar interference, which traditionally impairs communication systems, as a strategic mechanism to jam the eavesdropper, thereby substantially enhancing the performance of secure communication. In particular, by considering the imperfect channel state information (CSI) for the user and eavesdropper, we present a robust joint design for the radar waveform and communication beamforming vector at the two systems, with the objective of maximizing the worst-case secrecy rate at the user, while ensuring the detection performance of the radar system. To tackle this challenging problem, we propose a two-layer robust cooperative algorithm based on the Charnes-Cooper transformation and the Cauchy-Schwarz inequality. Simulation results reveal the trade-off between secrecy rate and detection probability and highlight the pivotal role of such robust designs in facilitating secure coexistence systems.

DOI
10.1109/lcomm.2024.3407719

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This letter investigates the spectrum sharing between a multiple-input single-output (MISO) secure communication system and a multiple-input multiple-output (MIMO) radar system in the presence of one suspicious eavesdropper. We harness the detrimental radar interference, which traditionally impairs communication systems, as a strategic mechanism to jam the eavesdropper, thereby substantially enhancing the performance of secure communication. In particular, by considering the imperfect channel state information (CSI) for the user and eavesdropper, we present a robust joint design for the radar waveform and communication beamforming vector at the two systems, with the objective of maximizing the worst-case secrecy rate at the user, while ensuring the detection performance of the radar system. To tackle this challenging problem, we propose a two-layer robust cooperative algorithm based on the Charnes-Cooper transformation and the Cauchy-Schwarz inequality. Simulation results reveal the trade-off between secrecy rate and detection probability and highlight the pivotal role of such robust designs in facilitating secure coexistence systems.
Robust quality-of-service (QoS)-based and secrecy rate-based secure transmission designs are investigated for a multiple-input single-output system with multiple eavesdroppers and a cooperative jammer. Two scenarios are considered: (a) eavesdroppers' channel state information (ECSI) is available and (b) ECSI is unavailable. In scenario (a), a QoS-based design is considered to minimize the worst case signal-to-interference-and-noise ratio at the eavesdroppers and to guarantee the QoS of the legitimate receiver. A secrecy rate-based design is also studied where the worst case secrecy rate is maximized. In scenario (b), a QoS-based design is considered to maximize the power of jamming signals under the QoS constraint of the legitimate receiver, and the secrecy rate-based design is not applicable. In all these designs, we jointly optimize the transmit beamforming vector and the covariance matrix of jamming signals under individual power constraints. As the optimization problems are non-convex, we propose an algorithm for each problem through semidefinite relaxation. Our analysis and simulation results show that, even though the linear precoding scheme in our designs is transmit beamforming rather than the general rank transmit covariance, this does not cause any loss of optimality.
Physical layer security is a promising technique for information security. In multi-antenna systems, secure transmission designs are of crucial importance for physical layer security. In this thesis, our research focuses on the secure transmission designs for jamming signal aided multi-antenna systems. We first investigate robust secure transmission designs for a cooperative jamming aided multiple-input-single-output (MISO) system. Two scenarios are considered: (a) eavesdroppers' channel state information (ECSI) is available and (b) ECSI is unavailable. In scenario (a), a quality-of-service (QoS)-based design is considered to minimize the worst case signal-to-interference-and-noise ratio at the eavesdroppers. A secrecy rate based design is also studied. In scenario (b), a QoS-based design is considered to maximize the power of jamming signals, and the secrecy rate based design is not applicable. We propose an algorithm for each design problem through semidefinite relaxation. Our analysis shows that, even though the beamforming scheme in our designs is fixed as single stream beamforming, this does not cause any loss of optimality. We further consider secure transmission designs for a simultaneous wireless information and power transfer enabled MISO heterogeneous cellular network. In the considered system, all base stations (BSs) send confidential messages to information receivers and energy signals to energy receivers (ERs). BSs collaboratively utilize the energy signals as jamming signals to cripple ERs' interceptions. We propose a sum logarithmic secrecy rate maximization design problem. To tackle the design problem, we propose a semidefinite relaxation and successive convex approximation based centralized secure transmission design algorithm. Moreover, an alternating direction method of multipliers based distributed secure transmission design is also proposed. Simulation results demonstrate the effectiveness of the proposed algorithms. Secure transmission is designed for a cooperative jamming aided MISO non-orthogonal multiple access system. We consider an outage constrained secure transmission design problem under the assumption that only statistical ECSI is available. In the design problem, the minimum probabilistic secrecy rate is maximized. Based on 0-norm and the path-following approach, we develop an algorithm to find a solution to the design problem. Simulation results demonstrate that the secrecy outage probability can be guaranteed through the proposed secure transmission design algorithm.
This paper studies robust transmission schemes for multiple-input single-output (MISO) wiretap channels. Both the cases of direct transmission and cooperative jamming with a helper are investigated with imperfect channel state information (CSI) for the eavesdropper links. Robust transmit covariance matrices are obtained based on worst-case secrecy rate maximization, under both individual and global power constraints. For the case of an individual power constraint, we show that the nonconvex maximin optimization problem can be transformed into a quasi-convex problem that can be efficiently solved with existing methods. For a global power constraint, the joint optimization of the transmit covariance matrices and power allocation between the source and the helper is studied. We also investigate the robust wiretap transmission problem for the case with a quality-of-service constraint at the legitimate receiver. Numerical results show the advantage of the proposed robust design. In particular, for the global power constraint scenario, although cooperative jamming is not necessary for optimal transmission with perfect eavesdropper's CSI, we show that robust jamming support can increase the worst-case secrecy rate and lower the signal to interference-plus-noise ratio at the eavesdropper in the presence of channel mismatches between the transmitters and the eavesdropper.
Hardware impairments (HWI) and the channel state information (CSI) estimation errors inevitably degrade the security performance of the communication system. In this work, we explore a robust beamforming solution for a reconfigurable intelligence surface (RIS)-assisted multiple-input single-output (MISO) multi-user secure network under HWI and imperfect CSI. Artificial noise (AN) is designed to jam eavesdroppers while non-orthogonal multiple access (NOMA) is employed to suppress the interference between legitimate users. Aimed at maximizing secrecy sum rate, the active beamforming with AN at the BS and the passive beamforming at the RIS are jointly optimized. The nonconvex optimization problem is handled using the semi-definite relaxation (SDR), where the eavesdropper's channel uncertainty is tackled by the S-procedure. Then the multi-variable coupling problem is decomposed into two sub-problems and three blocks of variables are alternately optimized using the block coordinate descent (BCD) method. The results suggest that the developed scheme outperforms the benchmark ones in terms of security and resistance to HWI.
In this paper, we consider max-min fairness for a downlink two-user multi-input single-output (MISO) system with imperfect channel state information available at transmitter (CSIT) taking into account the total power constraint and the physical layer security. Considering the worst-case channel uncertainty for a potential eavesdropper (PE), we study the robust secure beamforming algorithm design which maximizes the minimum achieved worst-case secrecy rate among single-antenna legitimate users. In contrast to existing schemes adopted in the literatures, we propose a rather unorthodox rate splitting (RS) scheme which advocates the dual use of a common message serving both as a desired message and artificial noise (AN) for legitimate users and the PE, respectively. The algorithm design is formulated as a non-convex optimization problem which is generally intractable. As a compromise approach, we apply the successive convex approximation (SCA) method which facilitates the design of a low-complexity suboptimal iterative algorithm. In each iteration, a rank-constrained semi-definite program (SDP) is solved optimally by SDP relaxation (SDR). Simulation results demonstrate that our proposed robust secure beamforming scheme in the MISO-RS secure transmission system outperforms that of the non-robust counterpart. Moreover, our results also unveil that the proposed RS scheme can achieve a superior performance compared to the existing non-orthogonal multiple access (NOMA) schemes and the traditional scheme.
In this letter, we investigate the secure beamforming design for multiuser multiple-input single-output interference channel with an eavesdropper. The robust secrecy rate optimization problem is studied with the imperfect channel state information. We consider the beamforming design to maximize the minimum worst case secrecy rate subject to the transmit power constraints with norm-bounded channel uncertainty. The problem is non-convex and hard to solve. We propose an effective method to reformulate this non-convex problem as a series of tractable convex program problems with linear matrix inequality and second-order cone constraints by exploiting the conservative approximation and the sequential convex approximation methods. The simulation results demonstrate the effectiveness of the proposed algorithm.