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

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.

[1]  Z. Ding,et al.  Unveiling the Importance of SIC in NOMA Systems: Part I - State of the Art and Recent Findings , 2020, ArXiv.

[2]  Victor C. M. Leung,et al.  Energy Efficient User Clustering, Hybrid Precoding and Power Optimization in Terahertz MIMO-NOMA Systems , 2020, IEEE Journal on Selected Areas in Communications.

[3]  Guan Gui,et al.  6G: Opening New Horizons for Integration of Comfort, Security, and Intelligence , 2020, IEEE Wireless Communications.

[4]  Solmaz Niknam,et al.  Federated Learning for Wireless Communications: Motivation, Opportunities, and Challenges , 2019, IEEE Communications Magazine.

[5]  Shaoqian Li,et al.  6G Wireless Communications: Vision and Potential Techniques , 2019, IEEE Network.

[6]  Wei Chen,et al.  The Roadmap to 6G: AI Empowered Wireless Networks , 2019, IEEE Communications Magazine.

[7]  Walid Saad,et al.  A Vision of 6G Wireless Systems: Applications, Trends, Technologies, and Open Research Problems , 2019, IEEE Network.

[8]  Mehdi Bennis,et al.  A Speculative Study on 6G , 2019, IEEE Wireless Communications.

[9]  Pingzhi Fan,et al.  Simple Semi-Grant-Free Transmission Strategies Assisted by Non-Orthogonal Multiple Access , 2018, IEEE Transactions on Communications.

[10]  Qi Hao,et al.  Deep Learning for Intelligent Wireless Networks: A Comprehensive Survey , 2018, IEEE Communications Surveys & Tutorials.

[11]  Victor C. M. Leung,et al.  Energy-Efficient Resource Allocation in NOMA Heterogeneous Networks , 2018, IEEE Wireless Communications.

[12]  Lajos Hanzo,et al.  Nonorthogonal Multiple Access for 5G and Beyond , 2017, Proceedings of the IEEE.

[13]  Jinho Choi,et al.  NOMA-Based Random Access With Multichannel ALOHA , 2017, IEEE Journal on Selected Areas in Communications.

[14]  A. Robert Calderbank,et al.  Orthogonal Time Frequency Space Modulation , 2017, 2017 IEEE Wireless Communications and Networking Conference (WCNC).

[15]  Weihua Zhuang,et al.  Tractable Coverage Analysis for Hexagonal Macrocell-Based Heterogeneous UDNs With Adaptive Interference-Aware CoMP , 2019, IEEE Transactions on Wireless Communications.

[16]  王家志 Technical Specification Group Services and System Aspects ; 3 G Security ; Specification of the MILENAGE Algorithm Set : An example algorithm set for the 3 GPP authentication and key generation functions , 2001 .