期刊
IEEE TRANSACTIONS ON COGNITIVE COMMUNICATIONS AND NETWORKING
卷 5, 期 4, 页码 900-919出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TCCN.2019.2933835
关键词
NOMA; massive MIMO; mmWave; cooperative communications; cognitive radio; energy harvesting; mobile edge computing; physical layer security; visible light communications; machine learning; deep learning; 5G
资金
- U.K. EPSRC [EP/P009719/2, H2020-MSCA-RISE-2015, 690750]
- EPSRC [EP/P009719/2] Funding Source: UKRI
Non-orthogonal multiple access (NOMA) has been widely recognized as a promising way to scale up the number of users, enhance the spectral efficiency, and improve the user-fairness in wireless networks, by allowing more than one user to share one wireless resource. NOMA can be flexibly combined with many existing wireless technologies and emerging ones including multiple-input multiple-output (MIMO), massive MIMO, millimeter wave communications, cognitive and cooperative communications, visible light communications, physical layer security, energy harvesting, wireless caching, and so on. Combination of NOMA with these technologies can further increase scalability, spectral efficiency, energy efficiency, and greenness of future communication networks. This paper provides a comprehensive survey of the interplay between NOMA and the above technologies. The emphasis is on how the above techniques can benefit from NOMA and vice versa. Moreover, challenges and future research directions are identified.
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