Artificial-Noise-Aided Secure Near-Field MIMO With Fluid Antenna Systems
Peng Zhang, Jian Dang, Miaowen Wen, Ziyang Liu, Chen Zhao, Huaifeng Shi, Chengsheng Pan, Zaichen Zhang

TL;DR
This paper introduces an artificial-noise aided physical layer security scheme for near-field fluid antenna MIMO systems, leveraging geometry and position-domain degrees of freedom to enhance secrecy performance in future mobile networks.
Contribution
It proposes a novel joint design framework combining beamforming, artificial noise, and port selection for secure near-field fluid antenna MIMO systems, with practical hybrid architecture implementation.
Findings
The scheme significantly improves secrecy performance over traditional methods.
Closed-form solutions for beamforming and artificial noise are derived.
Simulation results show effectiveness especially for non-extremely-large arrays.
Abstract
With the evolution of mobile communication systems toward large-scale arrays, high-frequency operation, and reconfigurable antenna architectures, fluid antenna systems (FAS) operating in the near-field (NF) regime provide new degrees of freedom (DoF) for secure and privacy-sensitive mobile access. This paper proposes an artificial-noise (AN)-aided physical layer security (PLS) scheme for NF fluid-antenna multiple-input multiple-output (FA-MIMO) systems, aiming to protect high-rate mobile service links supported by compact or large arrays. An alternating-optimization (AO) framework addresses the sparsity-constrained non-convex design by splitting it into a continuous BF/AN joint-design subproblem and a discrete FAS port-selection subproblem. Closed-form fully digital beamforming (BF)/AN solutions are obtained via a generalized spectral water-filling procedure within a block coordinate…
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