Multi-Antenna Array-Based Massive MIMO for B5G/6G: State of the Art, Challenges, and Future Research Directions

被引:0
|
作者
Qamar, Faizan [1 ]
Kazmi, Syed Hussain Ali [1 ]
Ariffin, Khairul Akram Zainol [1 ]
Tayyab, Muhammad [2 ]
Nguyen, Quang Ngoc [3 ,4 ]
机构
[1] Univ Kebangsaan Malaysia, Fac Informat Sci & Technol, Ctr Cyber Secur, Bangi 43600, Selangor, Malaysia
[2] Taylors Univ, Sch Comp Sci & Engn SCE, Lake Side Campus, Subang Jaya 47500, Selangor, Malaysia
[3] Waseda Univ, Fac Sci & Engn, Shinjuku Ku, Tokyo 1690051, Japan
[4] Posts & Telecommun Inst Technol, Fac Telecommun, Hanoi 100000, Vietnam
关键词
5G; 6G; M-MIMO; multi-antenna; wireless; federated learning; PHYSICAL LAYER AUTHENTICATION; PILOT CONTAMINATION; WIRELESS BACKHAUL; INDEX MODULATION; CHANNEL ESTIMATION; ATTACK DETECTION; COMMUNICATION; SYSTEMS; 5G; NETWORKS;
D O I
10.3390/info15080442
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This comprehensive article explores the massive MIMO (M-MIMO) design and its associated concepts, focusing on the seamless integration requirements for Beyond 5G (B5G) and 6G networks. Addressing critical aspects such as RF chain reduction, pilot contamination, cell-free MIMO, and security considerations, this article delves into the intricacies of M-MIMO in the evolving landscape of B5G. Moreover, the emerging MIMO concepts in this article include AI-enabled M-MIMO three-dimensional beamforming, reconfigurable intelligent surfaces, visible light communication, and THz spectrum utilization. This review highlights the challenges and open research issues, including Narrow Aperture Antenna Nodes, Plasmonic Antenna Arrays, Integrated Sensing with M-MIMO, and the application of federated learning in M-MIMO systems. By examining these cutting-edge developments, this article aims to advance knowledge in the field and inspire future research directions in the exciting realm of B5G and 6G networks.
引用
收藏
页数:29
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