Capacity-Maximizing Dynamic User Association in Double RIS-Aided Broadcast Networks

We introduce an information-theoretic framework to dynamically pair up different reconfigurable intelligent surfaces (RISs) with wireless users with goal of maximizing the fundamental network capacity. We focus on a double RIS-aided broadcast packet network with two users. We show using a dynamic RIS-user association and an opportunistic protocol, the network capacity could be significantly enhanced and superior to other benchmarks with static associations. The results include new outer-bounds on network capacity and their achievability. We discuss the optimal RIS-user association.

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Publication Details

Published
2024-10-07
DOI
https://doi.org/10.1109/vtc2024-fall63153.2024.10757475
Citations
3
Primary Topic
Advanced MIMO Systems Optimization
Type
article
Field-Weighted Citation Impact
0.63
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article

Capacity-Maximizing Dynamic User Association in Double RIS-Aided Broadcast Networks

Alireza Vahid
3 citations
Advanced MIMO Systems Optimization
0.63
article

Capacity-Maximizing Dynamic User Association in Double RIS-Aided Broadcast Networks

Alireza Vahid
article en
3 citations

Abstract

We introduce an information-theoretic framework to dynamically pair up different reconfigurable intelligent surfaces (RISs) with wireless users with goal of maximizing the fundamental network capacity. We focus on a double RIS-aided broadcast packet network with two users. We show using a dynamic RIS-user association and an opportunistic protocol, the network capacity could be significantly enhanced and superior to other benchmarks with static associations. The results include new outer-bounds on network capacity and their achievability. We discuss the optimal RIS-user association.

Rochester Institute of Technology (US)
Openalex Percentile: Top 30%
Advanced MIMO Systems Optimization
0.63
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