🤖 AI Summary
This study addresses the challenges posed by 6G requirements for ultra-reliable low-latency communication, massive connectivity, and intelligent applications, which conventional fixed antennas cannot dynamically accommodate in complex wireless environments. For the first time, it systematically integrates emerging reconfigurable antenna technologies—including fluid antennas, movable antennas, gripper antennas, and reconfigurable holographic antennas—into a unified analytical framework. By incorporating channel modeling, dynamic resource allocation, and intelligent coordination mechanisms, the work rigorously evaluates the performance limits and applicability of these technologies in 6G scenarios. Beyond offering a comprehensive comparative analysis across multiple reconfigurable antenna types, the study uncovers their synergistic potential and identifies critical technical challenges, thereby providing a theoretical foundation and a roadmap for future intelligent antenna design in 6G systems.
📝 Abstract
The transition to next-generation mobile communication networks, particularly 6G, demands advanced technologies to meet the requirements for ultra-reliable, low-latency communication, massive connectivity, and intelligent applications. Reconfigurable antennas (RAs) play a crucial role in achieving these objectives by enabling dynamic adjustments to the radio frequency (RF) characteristics of antennas, such as gain, radiation pattern, impedance, and polarization. Unlike traditional fixed-position antennas, RAs can alter both their radiation patterns and positions, offering flexibility in response to varying communication environments. This paper presents a comprehensive survey and tutorial on RAs, with a focus on fluid antennas (FAs), movable antennas (MAs), pinching antennas (PAs), and reconfigurable holographic antennas (RHAs), examining their potential in next-generation mobile networks. We explore the channel modelling and estimation, performance analysis, resource allocation strategies, and their synergy with other emerging wireless technologies for each type of RA. Finally, we provide a comparative analysis of different RAs and discuss the open challenges and future research directions, offering insights and guidance for future investigations in the exciting research area.