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A Contemporary Survey on Fluid Antenna Systems: Fundamentals and Networking Perspectives

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arxiv 2506.13317 v2 pith:WL4RLOJN submitted 2025-06-16 cs.IT eess.SPmath.IT

A Contemporary Survey on Fluid Antenna Systems: Fundamentals and Networking Perspectives

classification cs.IT eess.SPmath.IT
keywords antennasystemsfluidchannelnetworksnext-generationresearchspatial
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The explosive growth of teletraffic, fueled by the convergence of cyber-physical systems and data-intensive applications, such as the Internet of Things (IoT), autonomous systems, and immersive communications, demands a multidisciplinary suite of innovative solutions across the physical and network layers. Fluid antenna systems (FAS) represent a transformative advancement in antenna design, offering enhanced spatial degrees of freedom through dynamic reconfigurability. By exploiting spatial flexibility, FAS can adapt to varying channel conditions and optimize wireless performance, making it a highly promising candidate for next-generation communication networks. This paper provides a comprehensive survey of the state of the art in FAS research. We begin by examining key application scenarios in which FAS offers significant advantages. We then present the fundamental principles of FAS, covering channel measurement and modeling, single-user configurations, and the multi-user fluid antenna multiple access (FAMA) framework. Following this, we delve into key network-layer techniques such as quality-of-service (QoS) provisioning, power allocation, and content placement strategies. We conclude by identifying prevailing challenges and outlining future research directions to support the continued development of FAS in next-generation wireless networks.

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Cited by 1 Pith paper

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  1. Reconfigurable Antennas for Next-generation Mobile Communication Networks: A Comprehensive Survey and Tutorial

    cs.IT 2026-06 unverdicted novelty 3.0

    A survey and tutorial on reconfigurable antennas for 6G networks covering fluid, movable, pinching, and holographic antennas with channel modeling, performance analysis, resource allocation, and open challenges.