Distributed MAC for RIS-Assisted Multiuser Networks: CSMA/CA Protocol Design and Statistical Optimization
This research focuses on the challenges of distributed Medium Access Control (MAC) protocols involving Reconfigurable Intelligent Surfaces (RISs), which are still in early development. The study explores optimal channel access for multiple source-destination pairs in distributed networks with the assistance of multiple RISs. Three key issues are addressed: joint scheme for channel contention, RISs’ channel state information (CSI) acquisition, and RIS-assisted channel access; tradeoff between overhead and effective data transmission; and low-complexity distributed network operation. To achieve maximum network throughput, the paper proposes an optimal distributed Carrier Sense Multiple Access with Collision Avoidance (CSMA/CA) strategy with opportunistic RIS assistance based on statistical optimization. The proposed MAC strategy's optimality in terms of average network throughput is rigorously derived. Closed-form expressions for threshold functions of rewards for making decisions are derived, and an easy-to-implement distributed channel access algorithm is provided with online complexity <inline-formula><tex-math notation="LaTeX">$\mathcal {O}(2^{L})$</tex-math></inline-formula>, where <inline-formula><tex-math notation="LaTeX">$L$</tex-math></inline-formula> denotes the number of distributed RISs. The proposed MAC strategy is then refined, and a low-complexity distributed algorithm is developed with complexity <inline-formula><tex-math notation="LaTeX">$\mathcal {O}(L)$</tex-math></inline-formula>. Numerical simulations verify the theoretical results, demonstrating the efficiency of the proposed strategy. This work introduces innovative solutions and analytical frameworks for the distributed MAC problem with RIS assistance, significantly advancing existing research.
Authors
- Marco Di Renzo (ORCID: https://orcid.org/0000-0003-0772-8793)
- Saman Atapattu (ORCID: https://orcid.org/0000-0002-1413-6393)
- Zhou Zhang (ORCID: https://orcid.org/0000-0002-4835-2799)
- Yizhu Wang (ORCID: https://orcid.org/0000-0002-5990-3138)
Institutions
- Centre National de la Recherche Scientifique (FR)
- Laboratoire des signaux et systèmes (FR)
- Beijing Academy of Artificial Intelligence (CN)
- RMIT Europe (ES)
- RMIT University (AU)
Publication Details
- Journal
- IEEE Transactions on Mobile Computing
- Published
- 2025-01-16
- DOI
- https://doi.org/10.1109/tmc.2025.3530851
- Citations
- 9
- Primary Topic
- Wireless Communication Networks Research
- Type
- article
- Field-Weighted Citation Impact
- 13.38