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

Abstract

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 lowcomplexity 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.

Wireless communications “N + 1 dimensionality” endogenous anti-jamming: theory and techniques

“…(1) RIS Hardware Design in Vehicular Communications The RISs manipulation parameters of electromagnetic wave contain frequency, amplitude, phase, polarization, propagation direction, and so on, which provides a promising mean to configure the heterogeneous wireless channels [48]. There are a few existing works have investigated the RIS-aided anti-jamming communications, e.g., [49] and [50]. However, there are still some unique challenges in the application of RIS in the vehicular anti-jamming communications, which details in the following.…”

“…Besides, the receiver can estimate the cascade channel instead of each separate channels, i.e., the transmitter-RIS-receiver link, then feedback the estimated CSI to RIS [57,58]. Moreover, the acquisition of jammers CSI can further improve the anti-jamming processing gain [50].…”

Joint Beamforming Design for Secure RIS-Assisted IoT Networks

“…Furthermore, the authors of [8] introduced energy efficiency (EE) optimization in RIS-assisted systems. Nowadays, RIS-assisted transmission has been investigated in various scenarios such as IoT networks [9], [10], simultaneous wireless information and power transfer (SWIPT) [11], nonorthogonal multiple access (NOMA) [12], hybrid terrestrialaerial networks [13], [14], anti-jamming communications [15], [16], physical layer security communications [17], [18], and cognitive radio networks [19].…”

On the Ergodic Secrecy Capacity of Reconfigurable Intelligent Surface Aided Wireless Systems Under Mixture Gamma Fading

“…In [15], the design of robust, secure, and energy efficient transmission in RIS-aided wireless systems by jointly optimizing the transmission beam and RIS PS vectors as well as the artificial noise covariance matrix was reported. Finally, the authors of [16] studied the problem of sum rate maximization without violating the PLS requirements of a RIS-aided multi-user cellular system by jointly designing the receive decoder at the end-users, the digital precoder and the artificial noise at the base station, as well as the PS at the RIS.…”