arXiv · 2503.14601
Fluid Reconfigurable Intelligent Surfaces: Joint On-Off Selection and Beamforming with Discrete Phase Shifts
Abstract
This letter proposes a fluid reconfigurable intelligent surface (FRIS) paradigm, extending the conventional reconfigurable intelligent surface (RIS) technology to incorporate position reconfigurability of the elements. In our model, a `fluid' element is realized by a dense matrix of subelements over a given space and dynamically selecting specific elements for signal modulation based on channel conditions. Specifically, we consider a FRIS-assisted single-user single-input single-output (SU-SISO) system and formulate an optimization problem that can jointly optimize element selection and their discrete phase shifts to maximize the achievable rate. To address this problem efficiently, we propose an iterative algorithm based on the cross-entropy optimization (CEO) framework. Simulation results reveal that FRIS achieves significant performance gains over traditional RIS.
Explore related subjects
Keep this discovery
Explore connections, maps & timelines
Han Xiao, Xiaoyan Hu, Kai-Kit Wong, Hanjiang Hong, George C. Alexandropoulos, Chan-Byoung Chae. 2025-03-18. Fluid Reconfigurable Intelligent Surfaces: Joint On-Off Selection and Beamforming with Discrete Phase Shifts. https://arxiv.org/abs/2503.14601
Cite the original work for its findings. Save a collection to share your selection of sources.