TY - JOUR
T1 - AI-Assisted MAC for Reconfigurable Intelligent-Surface-Aided Wireless Networks
T2 - Challenges and Opportunities
AU - Cao, Xuelin
AU - Yang, Bo
AU - Huang, Chongwen
AU - Yuen, Chau
AU - Di Renzo, Marco
AU - Han, Zhu
AU - Niyato, Dusit
AU - Poor, H. Vincent
AU - Hanzo, Lajos
N1 - Funding Information:
Chau Yuen’s work was supported by A*STAR under its RIE2020 AME IAF-PP (Grant No. A19D6a0053). Chongwen Huang’s work was supported by the Fundamental Research Funds for the Central Universities. Chongwen Huang’s work was supported by the Fundamental Research Funds for the Central Universities, under 2021FZZX001-21. Marco Di Renzo’s work was supported in part by the European Commission through the H2020 ARIADNE project (Grant No. 871464) and H2020 RISE-6G project (Grant No. 101017011). Zhu Han’s work was partially supported by NSF EARS-1839818, CNS1717454, CNS-1731424, and CNS-1702850. Dusit Niyato’s work was partially supported by the National Research Foundation under the AI Singapore Programme (AISG Award No: AISG-GC-2019-003), WASP/NTU grant M4082187 (4080), and Singapore Ministry of Education (MOE) Tier 1 (RG16/20). H. Vincent Poor’s work was supported by U.S. National Science Foundation Grant CCF-1908308. Lajos Hanzo’s work was supported by the European Research Council’s Advanced Fellow Grant QuantCom (Grant No. 789028).
Publisher Copyright:
© 1979-2012 IEEE.
PY - 2021/6
Y1 - 2021/6
N2 - 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 physical layer performance, including 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 multi-user scenarios with special emphasis on the MAC schemes. We then propose and elaborate on centralized, distributed, and hybrid artificial-in-Telligence-Assisted MAC architectures in RIS-Aid-ed multi-user communications systems. Finally, we discuss some challenges, perspectives, and potential applications of RISs as they are related to MAC design.
AB - 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 physical layer performance, including 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 multi-user scenarios with special emphasis on the MAC schemes. We then propose and elaborate on centralized, distributed, and hybrid artificial-in-Telligence-Assisted MAC architectures in RIS-Aid-ed multi-user communications systems. Finally, we discuss some challenges, perspectives, and potential applications of RISs as they are related to MAC design.
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U2 - 10.1109/MCOM.001.2001146
DO - 10.1109/MCOM.001.2001146
M3 - Article
AN - SCOPUS:85108392336
SN - 0163-6804
VL - 59
SP - 21
EP - 27
JO - IEEE Communications Society Magazine
JF - IEEE Communications Society Magazine
IS - 6
M1 - 9475159
ER -