MIMO Channel Shaping and Rate Maximization Using Beyond-Diagonal RIS
Yang Zhao, Hongyu Li, Bruno Clerckx, Massimo Franceschetti

TL;DR
This paper explores how Beyond-Diagonal RIS can significantly enhance MIMO channel shaping, increasing data rates, power harvesting, and security by exploiting element-wise connections for improved signal manipulation.
Contribution
It introduces a Beyond-Diagonal RIS model, deriving tight bounds and optimization methods to maximize MIMO channel capacity and singular value control, surpassing traditional diagonal RIS capabilities.
Findings
BD-RIS improves singular value range and channel capacity.
BD-RIS enables multi-stream transmission at lower power.
Enhanced data rate, power harvesting, and security with increased RIS elements.
Abstract
This paper investigates the limits to which a passive Reconfigurable Intelligent Surface (RIS) can reshape a point-to-point Multiple-Input Multiple-Output (MIMO) channel in terms of singular values and their functions (e.g., achievable rate and harvestable power) for improved wireless performance. We depart from the Diagonal (D) scattering model and adopt a Beyond-Diagonal (BD) model that exploits element-wise connections for passive signal amplitude and phase manipulation. Specifically, analytical tight bounds are derived under typical RIS deployment scenarios to unveil the channel shaping potentials of BD-RIS regarding communication Degrees of Freedom (DoF), singular value spread, power gain, and capacity. An efficient numerical method is then proposed to optimize BD-RIS for any locally Lipschitz function of channel singular values, and showcased to characterize the achievable…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Code & Models
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAdvanced MIMO Systems Optimization · Energy Harvesting in Wireless Networks · Wireless Body Area Networks
