Developing NOMA to Next Generation Multiple Access: Future Vision and Research Opportunities

Yuanwei Liu, Wenqiang Yi, Zhiguo Ding, Xiao Liu, Octavia A. Dobre, Naofal Al-Dhahir

Research output: Contribution to journalArticlepeer-review

34 Scopus citations

Abstract

As a prominent member of the Next Generation Multiple Access (NGMA) family, Non-Orthogonal Multiple Access (NOMA) has been recognized as a promising multiple access candidate for the Sixth-Generation (6G) networks. This article focuses on applying NOMA in 6G networks, with an emphasis on proposing the so-called One Basic Principle Plus Four New concept. Successive Interference Cancellation (SIC) importance becomes evident, starting with the basic NOMA principle. In particular, this article discusses the advantages and drawbacks of channel-state-information-based SIC and quality-of-service-based-SIC. In addition, it explores applying NOMA to meet the new 6G performance requirements, especially for massive connectivity. Further, this article considers integrating NOMA with new physical layer techniques, followed by introducing new application scenarios for NOMA toward 6G. Finally, the article investigates applying machine learning in NOMA networks, ushering in the machine learning empowered NGMA era.

Original languageBritish English
Pages (from-to)120-127
Number of pages8
JournalIEEE Wireless Communications
Volume29
Issue number6
DOIs
StatePublished - 1 Dec 2022

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