RIS Optimization and Scaling Laws in Multi-Operator Systems: Is Quadratic Scaling Achievable?
Zheyu Wu, Matteo Nerini, Bruno Clerckx

TL;DR
This paper investigates RIS-assisted multi-operator wireless systems, deriving optimization solutions and revealing that quadratic signal power scaling is achievable with certain BD-RIS architectures, significantly outperforming conventional RIS.
Contribution
It introduces a practical RIS design framework for multi-operator systems, derives closed-form solutions, and establishes scaling laws demonstrating the advantages of BD-RIS architectures.
Findings
Quadratic scaling of received power with RIS elements for group-connected BD-RIS with Gs>=2.
Linear scaling for conventional single-connected RIS.
BD-RIS with Gs=2 outperforms conventional RIS by 13dB in a 128-element setup.
Abstract
This paper studies multi-operator wireless communication systems aided by general reconfigurable intelligent surface (RIS), including both conventional single-connected RIS and beyond-diagonal RIS (BD-RIS). Specifically, we consider a system where multiple operators coexist in the same area over different frequency bands, each with a single-antenna base station, while one operator serves its single-antenna user with the aid of an RIS. In such a system, the RIS may unintentionally reflect signals from the non-serving operators, leading to inter-operator interference and rapid fluctuations of their effective channels. To address this issue, we propose a practical RIS design framework that maximizes the received signal power of the serving operator while enforcing fixed RIS-reflected channels of the non-serving operators. We derive closed-form solutions to the resulting optimization…
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