Efficient Localization with Base Station-Integrated Beyond Diagonal RIS
Mahmoud Raeisi, Hui Chen, Henk Wymeersch, Ertugrul Basar

TL;DR
This paper proposes a novel BD-RIS-based passive beamforming method at the base station for high-accuracy localization, outperforming traditional RISs and approaching active antenna array performance in future communication systems.
Contribution
It introduces the use of beyond diagonal RISs for passive localization, demonstrating enhanced control and accuracy over conventional RISs through comprehensive analysis.
Findings
BD-RIS achieves near active array localization performance
CRLB analysis confirms improved localization bounds
BD-RIS outperforms diagonal RISs in various scenarios
Abstract
This paper introduces a novel approach to efficient localization in next-generation communication systems through a base station (BS)-enabled passive beamforming utilizing beyond diagonal reconfigurable intelligent surfaces (BD-RISs). Unlike conventional diagonal RISs (D-RISs), which suffer from limited beamforming capability, a BD-RIS provides enhanced control over both phase and amplitude, significantly improving localization accuracy. By conducting a comprehensive Cram\'er-Rao lower bound (CRLB) analysis across various system parameters in both near-field and far-field scenarios, we establish the BD-RIS structure as a competitive alternative to traditional active antenna arrays. Our results reveal that BD-RISs achieve near active antenna arrays performance in localization precision, overcoming the limitations of D-RISs and underscoring its potential for high-accuracy positioning in…
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.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsBlind Source Separation Techniques · Fault Detection and Control Systems
MethodsBalanced Selection
