Movable antenna (MA) technology has recently emerged as a promising paradigm for enhancing the flexibility and performance of wireless systems by allowing antennas to dynamically adjust their spatial positions within a confined region. Meanwhile, integrated sensing and communication (ISAC) has attracted significant att...
Zhen-Dong Li, Zhou Su, Jian-Le Ba et al.· 0 citations
This paper proposes a novel aerial reconfigurable intelligent surface (RIS)-aided secure integrated sensing and communication (ISAC) architecture. An unmanned aerial vehicle (UAV)-mounted RIS establishes virtual line-of-sight links to bypass blockages, serving legitimate users while sensing potential eavesdroppers. To...
Zhen-Dong Li, Ze-Sheng Zhang, Zhou Su et al.· 0 citations
This paper proposes an movable antenna (MA)-enabled secure ISAC system that utilizes the spatial degrees of freedom of MA to mitigate these risks and introduces a gradient-based meta learning (GML) algorithm, which works without pre-training and demonstrates favorable performance.
Zhen-Dong Li, Yujie Zhao, Zhou Su et al.· 0 citations
Simulation results demonstrate that compared with benchmark schemes, the proposed algorithm can better guarantee the secrecy rate and effectively track the moving trajectory of the eavesdropper.
Zhen-Dong Li, Wei-Chun Zhao, Zhou Su et al.· 0 citations
An alternating optimization (AO) framework is proposed, employing techniques including discrete binary particle swarm optimization (BPSO), successive convex approximation (SCA) and difference-of-convex (DC) programming to transform the optimization problem into convex subproblems.
Zhen-Dong Li, Min Zhu, Zhou Su et al.· 0 citations
The key advantages of MA-enabled WPNs in enhancing wireless power transfer efficiency, realizing flexible and adaptive beamforming, and improving system robustness and interference resilience are highlighted.
Zhen-Dong Li, Yi-Ran Zheng, Tian-Yu Li et al.· 0 citations
This paper elaborates on the hardware architecture and channel characteristics of MA and introduces the fundamental logic of the GML framework and compares it with existing methods, and discusses the constraint handling strategies for applying the proposed optimization framework to MA networks.
Zhen-Dong Li, Yujie Zhao, Zhou Su et al.· 0 citations
This paper investigates over-the-air (OTA) computation enabled online federated learning (FL) in low-Earth orbit (LEO) satellite networks and develops a proximal policy optimization (PPO)-based deep reinforcement learning framework that jointly optimizes adaptive beam hopping and power control.
Zhen-Dong Li, Shao-Jie Wang, Zhou Su et al.· 0 citations
This article outlines the fundamental principles of the dual-layer OTA model and introduces the adaptive BH mechanism designed for time-varying topologies, aiming to provide insights for the evolution of ubiquitous non-terrestrial intelligence.
Zhen-Dong Li, Shao-Jie Wang, Zhou Su et al.· 0 citations
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