A. Abdelaziz Salem;Mahmoud H. Ismail;Ahmed S. Ibrahim
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引用次数: 0
摘要
本文探讨了在采用可重构智能表面 (RIS) 的全双工 (FD) 认知无线电 (CR) 系统中实现安全通信这一尚未探索的难题,在该系统中,被动窃听者 (Eve) 配备了多个天线。在全双工模式下运行的辅助基站(SBS)充当辅助用户(SU)的上行链路(UL)通信提供者,同时主动向夏娃发射干扰信号,削弱其下行链路(DL)拦截能力,从而为主网络提供帮助。这项研究面临多项技术挑战。首先是复杂的干扰管理,因为 FD-SBS 必须管理 UL 通信和主动干扰信号之间的干扰,以确保安全通信和对合法用户的最小干扰。此外,由于目标和限制相互冲突,优化主基站 (PBS) DL、FD-SBS 干扰、无源 RIS 和 UL 通信功率之间的多维波束成形带来了巨大的复杂性。为此,我们提出了一种协调波束成形方法,在 UL SU 的最小目标速率、最大 DL PBS 发射功率、干扰功率限制和 RIS 单位模数约束下,最大化最小保密速率。为解决非凸问题,该方法将问题分解为四个子问题,并采用基于半定量编程(SDP)和连续凸近似(SCA)的交替优化方法加以解决。仿真结果表明了 RIS 相移优化对提高保密性能的有效性、需要多大的干扰功率才能保持保密性能和 UL 通信服务之间的平衡,以及所提解决方案在各种基准测试中的有效性。
Securing Full-Duplex Cognitive Radio With Reconfigurable Intelligent Surfaces via Coordinated Beamforming and Power Control
This paper addresses the unexplored challenge of achieving secure communication in a full-duplex (FD) cognitive radio (CR) system employing a reconfigurable intelligent surface (RIS) where a passive eavesdropper (Eve) is equipped with multiple antennas. The secondary base station (SBS), operating in full-duplex mode, serves as an uplink (UL) communication provider for secondary users (SUs) while actively launching a jamming signal against Eve to degrade its downlink (DL) interception capability, thus aiding the primary network. This study faces several technical challenges. First, complex interference management arises as the FD-SBS must manage interference between UL communications and active jamming signals to ensure both secure communication and minimal interference to legitimate users. Additionally, optimizing multi-dimensional beamforming across the primary base station (PBS) DL, the FD-SBS jamming, the passive RIS, and the UL communication power imposes substantial complexities due to conflicting objectives and constraints. To this end, we propose a coordinated beamforming approach, which maximizes the minimum secrecy rate with a minimum target rate for the UL SUs, a maximum DL PBS transmission power, jamming power limits and RIS unit modulus constraints. To address the problem non-convexity, it is decomposed into four sub-problems, which are solved via employing semidefinite programming (SDP) and successive convex approximation (SCA) based alternating optimization. Simulation results show the effectiveness of RIS phase shift optimization to enhance secrecy performance, how much jamming power is needed to keep balance between the secrecy performance and the UL communication service, as well as the effectiveness of the proposed solution against various benchmarks.
期刊介绍:
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