A State-of-the-Art Survey on Reconfigurable Intelligent Surface-Assisted Non-Orthogonal Multiple Access Networks

被引:111
作者
Ding, Zhiguo [1 ,2 ]
Lv, Lu [3 ]
Fang, Fang [4 ,5 ]
Dobre, Octavia A. [6 ]
Karagiannidis, George K. [7 ]
Al-Dhahir, Naofal [8 ]
Schober, Robert [9 ]
Poor, H. Vincent [1 ]
机构
[1] Princeton Univ, Dept Elect & Comp Engn, Princeton, NJ 08544 USA
[2] Univ Manchester, Sch Elect & Elect Engn, Manchester M13 9PL, Lancs, England
[3] Xidian Univ, State Key Lab Integrated Serv Networks, Xian 710071, Peoples R China
[4] Western Univ, Dept Elect & Comp Engn, London, ON N6A 3K7, Canada
[5] Western Univ, Dept Comp Sci, London, ON N6A 3K7, Canada
[6] Mem Univ, Fac Engn & Appl Sci, St John, NF, Canada
[7] Aristotle Univ Thessaloniki, Dept Elect & Comp Engn, Wireless Commun & Informat Proc WCIP Grp, Thessaloniki 54124, Greece
[8] Univ Texas Dallas, Dept Elect & Comp Engn, Richardson, TX 75080 USA
[9] Friedrich Alexander Univ Erlangen Nurnberg FAU, Inst Digital Commun, D-91058 Erlangen, Germany
关键词
NOMA; 6G mobile communication; Resource management; Security; Gain; Performance gain; 5G mobile communication; Artificial intelligence (AI); multi-input multi-output (MIMO); nonorthogonal multiple access (NOMA); reconfigurable intelligent surface (RIS); resource allocation; wireless security; EFFICIENT RESOURCE-ALLOCATION; SIMULTANEOUS WIRELESS INFORMATION; PASSIVE BEAMFORMING DESIGN; EDGE COMPUTING NETWORKS; MASSIVE MIMO SYSTEMS; REFLECTING SURFACE; NOMA SYSTEMS; CHANNEL ESTIMATION; POWER ALLOCATION; UAV COMMUNICATIONS;
D O I
10.1109/JPROC.2022.3174140
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Reconfigurable intelligent surfaces (RISs) and nonorthogonal multiple access (NOMA) have been recognized as key enabling techniques for the envisioned sixth generation (6G) of mobile communication networks. The key feature of RISs is to intelligently reconfigure the wireless propagation environment, which was once considered to be fixed and untunable. The key idea of NOMA is to utilize users' dynamic channel conditions to improve spectral efficiency and user fairness. Naturally, the two communication techniques are complementary to each other and can be integrated to cope with the challenging requirements envisioned for 6G mobile networks. This survey provides a comprehensive overview of the recent progress on the synergistic integration of RISs and NOMA. In particular, the basics of both techniques are introduced first, and then, the fundamentals of RIS-NOMA are discussed for two communication scenarios with different transceiver capabilities. Resource allocation is of paramount importance for the success of RIS-assisted NOMA networks, and various approaches, including artificial intelligence (AI)-empowered designs, are introduced. Security provisioning in RIS-NOMA networks is also discussed as wireless networks are prone to security attacks due to the nature of the shared wireless medium. Finally, the survey is concluded with detailed discussions of the challenges arising in the practical implementation of RIS-NOMA, future research directions, and emerging applications.
引用
收藏
页码:1358 / 1379
页数:22
相关论文
共 50 条
[21]   Fine-Grained Analysis of Reconfigurable Intelligent Surface-Assisted mmWave Networks [J].
Yang, Le ;
Li, Xiao ;
Jin, Shi ;
Matthaiou, Michail ;
Zheng, Fu-Chun .
IEEE TRANSACTIONS ON COMMUNICATIONS, 2022, 70 (09) :6277-6294
[22]   Secure Transmission in HARQ-Assisted Non-Orthogonal Multiple Access Networks [J].
Xiang, Zhongwu ;
Yang, Weiwei ;
Pan, Gaofeng ;
Cai, Yueming ;
Song, Yi ;
Zou, Yulong .
IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, 2020, 15 :2171-2182
[23]   A Survey on Non-Orthogonal Multiple Access for Unmanned Aerial Vehicle Networks: Machine Learning Approach [J].
Mayarakaca, Meyra Chusna ;
Lee, Byung Moo .
IEEE ACCESS, 2024, 12 :51138-51165
[24]   Non-Orthogonal Multiple Access (NOMA) With Multiple Intelligent Reflecting Surfaces [J].
Cheng, Yanyu ;
Li, Kwok Hung ;
Liu, Yuanwei ;
Teh, Kah Chan ;
Karagiannidis, George K. .
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2021, 20 (11) :7184-7195
[25]   Reconfigurable Intelligent Surface-Assisted Secure Mobile Edge Computing Networks [J].
Mao, Sun ;
Liu, Lei ;
Zhang, Ning ;
Dong, Mianxiong ;
Zhao, Jun ;
Wu, Jinsong ;
Leung, Victor C. M. .
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2022, 71 (06) :6647-6660
[26]   Performance Analysis of Intelligent Reflecting Surface Selection for Orthogonal and Non-Orthogonal Multiple Access [J].
Samy, Mostafa ;
Abo-Zahhad, Mohammed ;
Muta, Osamu ;
Bedair, Adel ;
Elsabrouty, Maha .
2021 17TH INTERNATIONAL CONFERENCE ON WIRELESS AND MOBILE COMPUTING, NETWORKING AND COMMUNICATIONS (WIMOB 2021), 2021, :271-276
[27]   Co-operative non-orthogonal multiple access networks: a survey [J].
Ashwini, K. ;
Jagadeesh, V. K. .
WORLD JOURNAL OF ENGINEERING, 2024, 21 (06) :1128-1141
[28]   Partial Non-Orthogonal Multiple Access (NOMA) in Downlink Poisson Networks [J].
Ali, Konpal Shaukat ;
Hossain, Ekram ;
Hossain, Md. Jahangir .
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2020, 19 (11) :7637-7652
[29]   Multiple Access in Aerial Networks: From Orthogonal and Non-Orthogonal to Rate-Splitting [J].
Jaafar, Wael ;
Naser, Shimaa ;
Muhaidat, Sami ;
Sofotasios, Paschalis C. ;
Yanikomeroglu, Halim .
IEEE OPEN JOURNAL OF VEHICULAR TECHNOLOGY, 2020, 1 :372-392
[30]   UAV-Enabled Wireless Backhaul Networks Using Non-Orthogonal Multiple Access [J].
Iradukunda, Nadia ;
Pham, Quoc-Viet ;
Zeng, Ming ;
Kim, Hee-Cheol ;
Hwang, Won-Joo .
IEEE ACCESS, 2021, 9 (09) :36689-36698