🤖 AI Summary
To address the capacity and flexibility challenges posed by data-intensive applications in 6G networks, this paper presents a systematic cross-layer survey of Fluid Antenna Systems (FAS). Motivated by FAS’s dynamic spatial reconfigurability, we propose a unified framework spanning the physical layer (channel modeling, single-/multi-user configurations) and network layer (QoS provisioning, power allocation, content caching), and introduce Fluid Antenna Multiple Access (FAMA) as a novel multi-user access paradigm. Integrating empirically validated channel modeling, dynamic antenna-position optimization, non-orthogonal multiple access (NOMA), and joint resource-caching scheduling, we quantitatively characterize the synergistic gains of spatial reconfigurability on communication performance and network orchestration. The study clarifies FAS’s core enabling mechanisms and fundamental performance limits, identifies key technical bottlenecks, and establishes theoretical foundations and evolutionary pathways for integrating programmable electromagnetic surfaces and intelligent reflecting surfaces into 6G architectures.
📝 Abstract
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.