English

Meta Fluid Antenna: Architecture Design, Performance Analysis, Experimental Examination

Signal Processing 2025-09-25 v2

Abstract

Fluid antenna systems (FAS) have recently emerged as a promising solution for sixth-generation (6G) ultra-dense connectivity. These systems utilize dynamic radiating and/or shaping techniques to mitigate interference and improve spectral efficiency without relying on channel state information (CSI). The reported improvements achieved by employing a single dynamically activated radiating position in fluid antenna multiple access (FAMA) are significant. To fully realize the potential of FAMA in multi-user multiplexing, we propose leveraging the unique fast-switching capabilities of a single radio-frequency (RF)-chain meta-fluid antenna structure to achieve multi-activation. This allows for a significantly larger set of independent radiating states without requiring additional signal processing. Simulations demonstrate that multi-activation FAMA enables robust multi-user multiplexing with a higher signal-to-interference ratio (SIR) under various Rayleigh-fading environments compared to other single RF-chain technologies. We further show that the SIR can be optimized within a 15~μs\mu s timeframe under a multi-user Rayleigh-fading channel, making the proposed scheme highly suitable for fast-changing wireless environments. Verified through the theoretical Jakes' model, full three-dimensional (3D) electromagnetic (EM) simulations and experimental validation, multi-activation FAMA enables effective CSI-free, multi-user communication, offering a scalable solution for high-capacity wireless networks.

Keywords

Cite

@article{arxiv.2509.12032,
  title  = {Meta Fluid Antenna: Architecture Design, Performance Analysis, Experimental Examination},
  author = {Baiyang Liu and Jiewei Huang and Tuo Wu and Huan Meng and Fengcheng Mei and Lei Ning and Kai-Kit Wong and Hang Wong and Kin-Fai Tong and Kwai-Man Luk},
  journal= {arXiv preprint arXiv:2509.12032},
  year   = {2025}
}

Comments

13 pages

R2 v1 2026-07-01T05:37:05.128Z