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- Title
Multi-Antenna Array-Based Massive MIMO for B5G/6G: State of the Art, Challenges, and Future Research Directions.
- Authors
Qamar, Faizan; Kazmi, Syed Hussain Ali; Ariffin, Khairul Akram Zainol; Tayyab, Muhammad; Nguyen, Quang Ngoc
- Abstract
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.
- Subjects
FEDERATED learning; APERTURE antennas; ANTENNA arrays; VISIBLE spectra; INSTRUCTIONAL systems
- Publication
Information (2078-2489), 2024, Vol 15, Issue 8, p442
- ISSN
2078-2489
- Publication type
Article
- DOI
10.3390/info15080442