Problem
Research questions and friction points this paper is trying to address.
physical layer security
high-speed train communication
eavesdropping
secrecy rate
wireless security
Secure Coverage Enhancement in Aerial Reconfigurable Intelligent Surface-Assisted High-Speed Train Communication Systems
🤖 AI Summary
This work addresses the challenge of ensuring physical-layer security in high-speed train communications, where achieving high reliability, high data rates, and resilience against eavesdropping simultaneously remains difficult. To this end, it introduces aerial reconfigurable intelligent surfaces (ARIS) into this scenario for the first time and proposes a joint optimization framework that coordinates base station active beamforming with ARIS phase shifts to maximize the weighted sum secrecy rate, subject to transmit power and unit-modulus constraints. The problem is decomposed via block coordinate descent; successive convex approximation is employed to optimize beamforming, while the alternating direction method of multipliers efficiently updates the ARIS phase shifts. The proposed algorithm converges rapidly, and simulations demonstrate its significant performance gains over existing approaches, effectively enhancing the system’s secrecy performance.
📝 Abstract
High-speed trains (HSTs) have become a prominent means of transportation, requiring high data rates and reliable communication services for HST passengers. However, the wireless channels in HST communication systems are susceptible to various security threats, including eavesdropping. Addressing these security concerns is therefore of critical importance. One promising technology for enhancing security is the integration of a reconfigurable intelligent surface (RIS) on an unmanned aerial vehicle, referred to as an aerial reconfigurable intelligent surface (ARIS). This technology offers significant potential for improving wireless network performance, though it also introduces unique challenges in terms of physical layer security (PLS). This paper investigates the PLS of ARIS-aided HST communication systems. A problem of maximizing the weighted sum secrecy rate is formulated by jointly optimizing the active beamforming at the base station (BS) and the phase shift at the ARIS, subject to constrains on the BS transmit power and the unit modulus of the ARIS reflecting coefficient. To address this problem, a joint optimization algorithm is proposed using the block coordinate descent method. Specifically, the problem is decomposed into two subproblems: active beamforming design and ARIS phase shift optimization. The active beamforming is optimally designed via the successive convex approximation technique, while the ARIS phase shift is efficiently updated using the alternating direction method of multipliers technique. Simulation results demonstrate the rapid convergence of the proposed algorithm, which achieves a higher secrecy rate compared to existing methods in the literature.
Innovation
Methods, ideas, or system contributions that make the work stand out.
Aerial Reconfigurable Intelligent Surface
Physical Layer Security
Joint Beamforming and Phase Shift Optimization
High-Speed Train Communications
Secrecy Rate Maximization
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