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Article Dans Une Revue IEEE Communications Magazine Année : 2021

AI-Assisted MAC for Reconfigurable Intelligent-Surface-Aided Wireless Networks: Challenges and Opportunities

Résumé

Recently, significant research attention has been devoted to the study of reconfigurable intelligent surfaces (RISs), which are capable of reconfiguring the wireless propagation environment by exploiting the unique properties of metamaterials-based integrated large arrays of inexpensive antennas. Existing research demonstrates that RISs significantly improve the physical layer performance, including the wireless coverage, achievable data rate and energy efficiency. However, the medium access control (MAC) of multiple users accessing an RIS-enabled channel is still in its infancy, while many open issues remain to be addressed. In this article, we present four typical RIS-aided multiuser scenarios with special emphasis on the MAC schemes. We then propose and elaborate upon centralized, distributed and hybrid artificial-intelligence (AI)-assisted MAC architectures in RIS-aided multiuser communications X. Cao, B. Yang, and C. Yuen are with the Engineering Product Development Pillar,

Domaines

Electronique
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Dates et versions

hal-03357949 , version 1 (29-09-2021)

Identifiants

Citer

Xuelin Cao, Bo Yang, Chongwen Huang, Chau Yuen, Marco Di Renzo, et al.. AI-Assisted MAC for Reconfigurable Intelligent-Surface-Aided Wireless Networks: Challenges and Opportunities. IEEE Communications Magazine, 2021, ⟨10.1109/mcom.001.2001146⟩. ⟨hal-03357949⟩
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