arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2406.09447cs.ITeess.SPmath.IT

用于无线通信抗干扰的自维持主动可重构智能表面

Self-Sustainable Active Reconfigurable Intelligent Surfaces for Anti-Jamming in Wireless Communications

Yang Cao, Wenchi Cheng, Jingqing Wang, Wei Zhang

AI总结:

针对主动RIS抗干扰部署受外部供电限制的问题,提出基于TD-SWIPT从基站信号收集能量的自维持结构,并联合优化发射与反射波束成形以提升可达速率和抗干扰性能。

摘要:

无线设备在传输过程中容易受到干扰机攻击,这对无线通信构成潜在安全威胁。主动可重构智能表面(RIS)引起广泛关注,并有望用于抗干扰系统以实现安全传输,从而显著增强抗干扰性能。然而,主动RIS会引入外部功率负载,这增加了硬件复杂度并限制了主动RIS的灵活部署。为克服这些缺陷,本文设计了一种创新的自维持结构,其中主动RIS通过基于时间划分的同步无线信息与功率传输(TD-SWIPT)方案,从基站(BS)信号中收集能量来供能。基于上述结构,我们开发了基于联合发射与反射波束成形的BS收集方案,旨在最大化主动RIS辅助系统的可达速率,其中基于随机连续凸近似(SSCA)的交替优化(AO)算法处理该方案中的非凸优化问题。仿真结果验证了我们所开发BS收集方案的有效性:在相同最大发射功率下,该方案相比其他方案能够获得更高的抗干扰性能。

英文摘要:

Wireless devices can be easily attacked by jammers during transmission, which is a potential security threat for wireless communications. Active reconfigurable intelligent surface (RIS) attracts considerable attention and is expected to be employed in anti-jamming systems for secure transmission to significantly enhance the anti-jamming performance. However, active RIS introduces external power load, which increases the complexity of hardware and restricts the flexible deployment of active RIS. To overcome these drawbacks, we design a innovative self-sustainable structure in this paper, where the active RIS is energized by harvesting energy from base station (BS) signals through the time dividing based simultaneous wireless information and power transfer (TD-SWIPT) scheme. Based on the above structure, we develop the BS harvesting scheme based on joint transmit and reflecting beamforming with the aim of maximizing the achievable rate of active RIS-assisted system, where the alternating optimization (AO) algorithm based on stochastic successive convex approximation (SSCA) tackles the nonconvex optimization problem in the scheme. Simulation results verified the effectiveness of our developed BS harvesting scheme, which can attain higher anti-jamming performance than other schemes when given the same maximum transmit power.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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