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Fluid Antenna Systems Enabling 6G:Principles, Applications, and Research Directions

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arxiv 2412.03839 v1 pith:RXBOEEFG submitted 2024-12-05 eess.SP

classification eess.SP
keywords antennadirectionsresearchapplicationsarticlefluidpositionradiation
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Fluid antenna system (FAS) as a new version of reconfigurable antenna technologies promoting shape and position flexibility, has emerged as an exciting and possibly transformative technology for wireless communications systems. FAS represents any software-controlled fluidic, conductive or dielectric structure that can dynamically alter antenna's shape and position to change the gain, the radiation pattern, the operating frequency, and other critical radiation characteristics. With its capability, it is highly anticipated that FAS can contribute greatly to the upcoming sixth generation (6G) wireless networks. This article substantiates this thought by addressing four major questions: 1) Is FAS crucial to 6G? 2) How to characterize FAS? 3) What are the applications of FAS? 4) What are the relevant challenges and future research directions? In particular, five promising research directions that underscore the potential of FAS are discussed. We conclude this article by showcasing the impressive performance of FAS.

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Forward citations

Cited by 8 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Dependability Theory-based Statistical QoS Provisioning of Fluid Antenna Systems

    eess.SP 2025-07 conditional novelty 6.0 of 10

    Closed-form level-crossing rate and average fade duration for N-port fluid antenna systems over Nakagami-m fading, plus mission-aware effective capacity and energy efficiency metrics.

  2. UAV-Assisted Integrated Communication and Over-the-Air Computation with Interference Awareness

    eess.SP 2025-07 conditional novelty 6.0 of 10

    A joint optimization framework using SAC-based deep reinforcement learning and alternating optimization maximizes user uplink rates while keeping over-the-air computation MSE below a threshold in a UAV network.

  3. Generalized Pinching-Antenna Systems: A Leaky-Coaxial-Cable Perspective

    eess.SP 2025-12 conditional novelty 5.0 of 10

    A leaky coaxial cable with controllable radiating slots can act as a generalized pinching-antenna system at low frequencies, with signal strength falling as the fourth power of distance.

  4. Fluid Antenna Systems: A Geometric Approach to Error Probability and Fundamental Limits

    cs.IT 2025-09 reject novelty 5.0 of 10

    Derives an asymptotic SER formula for fluid antennas and claims diversity gain is set by effective rank ≈ 2W+1 (aperture width), not port count.

  5. Near-Field Integrated Imaging and Communication in Distributed MIMO Networks

    eess.SP 2025-08 unverdicted novelty 5.0 of 10

    Distributed MIMO networks can image near-field targets by converting spatial-domain signals to the Fourier domain, using RMA for small objects and sparse Bayesian learning for large scenes.

  6. Deep Learning Optimization of Two-State Pinching Antennas Systems

    cs.LG 2025-07 conditional novelty 5.0 of 10

    A graph neural network with distributed attention selects near-optimal subsets of active pinching antennas, matching a Gurobi solver's rates within a few percent and generalizing from 50 to 1000 antennas.

  7. A Gradient Meta-Learning Joint Optimization for Beamforming and Antenna Position in Pinching-Antenna Systems

    cs.IR 2025-06 conditional novelty 4.0 of 10

    A gradient meta-learning algorithm with two unrolled neural networks jointly optimizes beamforming and pinching-antenna positions, reporting 5.6 bits/s/Hz weighted sum rate and a 32.7% gain over alternating optimizati...

  8. Advancing Fluid Antenna-Assisted Non-Terrestrial Networks in 6G and Beyond: Fundamentals, State of the Art, and Future Directions

    cs.NI 2025-11 unverdicted novelty 1.0 of 10

    A literature survey of fluid-antenna-assisted non-terrestrial networks; it organizes existing results and identifies future directions but proves no new result.

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