RIS-Assisted Robust Hybrid Beamforming Against Simultaneous Jamming and Eavesdropping Attacks

Wireless communications are increasingly vulnerable to simultaneous jamming and eavesdropping attacks due to the inherent broadcast nature of wireless channels. With this focus, due to the potential of reconfigurable intelligent surface (RIS) in substantially saving power consumption and boosting in...

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Vydané v:IEEE transactions on wireless communications Ročník 21; číslo 11; s. 9212 - 9231
Hlavní autori: Sun, Yifu, An, Kang, Zhu, Yonggang, Zheng, Gan, Wong, Kai-Kit, Chatzinotas, Symeon, Yin, Haifan, Liu, Pengtao
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: New York IEEE 01.11.2022
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:
Algorithms
anti-jamming communications
Array signal processing
Beamforming
Cellular communication
Closed form solutions
Communication system security
Complexity
Constraints
Convexity
Eavesdropping
Exact solutions
hybrid beamforming
Jamming
Mathematical models
Maximum power
Optimization
physical-layer security
Power consumption
Quadratic programming
Radio frequency
Reconfigurable intelligent surface
Riemann manifold
Robustness (mathematics)
Security
Wireless communication
Wireless communications
Wiretapping
ISSN:1536-1276, 1558-2248
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Popis
Shrnutí:Wireless communications are increasingly vulnerable to simultaneous jamming and eavesdropping attacks due to the inherent broadcast nature of wireless channels. With this focus, due to the potential of reconfigurable intelligent surface (RIS) in substantially saving power consumption and boosting information security, this paper is the first work to investigate the effect of the RIS-assisted wireless transmitter in improving both the spectrum efficiency and the security of multi-user cellular network. Specifically, with the imperfect angular channel state information (CSI), we aim to address the worst-case sum rate maximization problem by jointly designing the receive decoder at the users, both the digital precoder and the artificial noise (AN) at the base station (BS), and the analog precoder at the RIS, while meeting the minimum achievable rate constraint, the maximum wiretap rate requirement, and the maximum power constraint. To address the non-convexity of the formulated problem, we first propose an alternative optimization (AO) method to obtain an efficient solution. In particular, a heuristic scheme is proposed to convert the imperfect angular CSI into a robust one and facilitate the developing a closed-form solution to the receive decoder. Then, after reformulating the original problem into a tractable one by exploiting the majorization-minimization (MM) method, the digital precoder and AN can be addressed by the quadratically constrained quadratic programming (QCQP), and the RIS-aided analog precoder is solved by the proposed price mechanism-based Riemannian manifold optimization (RMO). To further reduce the computational complexity of the proposed AO method and gain more insights, we develop a low-complexity monotonic optimization algorithm combined with the dual method (MO-dual) to identify the closed-form solution. Numerical simulations using realistic RIS and communication models demonstrate the superiority and validity of our proposed schemes over the existing benchmark schemes.
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ISSN:1536-1276
1558-2248
DOI:10.1109/TWC.2022.3174629