TY - JOUR
T1 - Interplay between NOMA and Other Emerging Technologies
T2 - A Survey
AU - Vaezi, Mojtaba
AU - Aruma Baduge, Gayan Amarasuriya
AU - Liu, Yuanwei
AU - Arafa, Ahmed
AU - Fang, Fang
AU - Ding, Zhiguo
N1 - Funding Information:
Manuscript received March 24, 2019; revised June 27, 2019; accepted July 30, 2019. Date of publication August 8, 2019; date of current version December 12, 2019. The work of Z. Ding was supported by the U.K. EPSRC under grant number EP/P009719/2 and by H2020-MSCA-RISE-2015 under grant number 690750. The associate editor coordinating the review of this article and approving it for publication was Y.-C. Liang. (Corresponding author: Mojtaba Vaezi.) M. Vaezi is with the Department of Electrical and Computer Engineering, Villanova University, Villanova, PA 19085 USA (e-mail: [email protected]).
Publisher Copyright:
© 2015 IEEE.
PY - 2019/12
Y1 - 2019/12
N2 - 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.
AB - 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.
KW - 5G
KW - cognitive radio
KW - cooperative communications
KW - deep learning
KW - energy harvesting
KW - machine learning
KW - massive MIMO
KW - mmWave
KW - mobile edge computing
KW - NOMA
KW - physical layer security
KW - visible light communications
UR - http://www.scopus.com/inward/record.url?scp=85070710460&partnerID=8YFLogxK
U2 - 10.1109/TCCN.2019.2933835
DO - 10.1109/TCCN.2019.2933835
M3 - Article
AN - SCOPUS:85070710460
SN - 2332-7731
VL - 5
SP - 900
EP - 919
JO - IEEE Transactions on Cognitive Communications and Networking
JF - IEEE Transactions on Cognitive Communications and Networking
IS - 4
M1 - 8792153
ER -
