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. Starting with the basic NOMA principle, the importance of successive interference cancellation (SIC) becomes evident. In particular, the advantages and drawbacks of both the channel state information based SIC and quality-of-service based SIC are discussed. Then, the application of NOMA to meet the new 6G performance requirements, especially for massive connectivity, is explored. Furthermore, the integration of NOMA with new physical layer techniques is considered, followed by introducing new application scenarios for NOMA towards 6G. Finally, the application of machine learning in NOMA networks is investigated, ushering in the machine learning empowered NGMA era.

翻译：作为下一代多重接入(NGMA)大家庭的突出成员,非横向多重接入(NOMA)被公认为是第六代(6G)网络的有希望的多重接入候选人,文章侧重于在6G网络中应用NOMA,重点是提出所谓的“一个基本原则加四个新”概念,从NOMA基本原则开始,连续取消干扰的重要性变得很明显,特别是讨论了基于SIC的频道国家信息和基于服务质量的 SIC的优势和缺点。然后,探讨了NOMA满足新的6G性能要求,特别是大规模连通性要求的应用。此外,还考虑将NOMA与新的物理层技术相结合,随后为NOMA向6G引入新的应用情景。最后,对NOMA网络应用机器学习的情况进行了调查,从而引入机器学习增强NGMA时代。