Cooperative Multi-Beam Routing for Multi-IRS Aided Massive MIMO
Weidong Mei, Rui Zhang

TL;DR
This paper proposes a novel multi-beam routing and beamforming scheme for multi-IRS aided massive MIMO systems, enhancing signal power and reducing interference through optimized route selection and cooperative beam design.
Contribution
It introduces a new multi-beam routing optimization framework with a recursive algorithm for multi-IRS massive MIMO systems, addressing NP-hardness and improving performance.
Findings
Proposed algorithm achieves near-optimal performance.
Outperforms benchmark schemes in simulations.
Effectively balances performance and complexity.
Abstract
Intelligent reflecting surface (IRS) is envisioned to play a significant role in future wireless communication systems thanks to its powerful capability of enabling smart and reconfigurable radio environment. In this paper, we study the multi-IRS aided downlink communication in a massive multiple-input multiple-output (MIMO) system, where a multi-antenna BS simultaneously serves multiple remote single-antenna users with orthogonal beams reflected by multiple IRSs. By exploiting the line-of-sight (LoS) link between each pair of selected IRSs, a multi-hop cascaded LoS link can be established between the BS and each user via their cooperative beam routing. Under this setup, we optimize the selected IRSs and their beam routing path for each user, along with the BS/IRS active/passive beamforming such that the minimum received signal power among all users is maximized, subject to a new…
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
TopicsAdvanced Wireless Communication Technologies · Optical Wireless Communication Technologies · UAV Applications and Optimization
