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

Author:

Qamar Faizan1ORCID,Kazmi Syed Hussain Ali1ORCID,Ariffin Khairul Akram Zainol1ORCID,Tayyab Muhammad2,Nguyen Quang Ngoc34ORCID

Affiliation:

1. Centre for Cyber Security, Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia (UKM), Bangi 43600, Selangor, Malaysia

2. School of Computer Science and Engineering (SCE), Taylor’s University Lake-Side Campus, Subang Jaya 47500, Selangor, Malaysia

3. Faculty of Science and Engineering, Waseda University, Shinjuku-ku, Tokyo 169-0051, Japan

4. Faculty of Telecommunications, Posts and Telecommunications Institute of Technology, Hanoi 100000, Vietnam

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.

Funder

Universiti Kebangsaan Malaysia Fundamental Research Grant Scheme (FRGS) from the Ministry of Higher Education

Posts and Telecommunications Institute of Technology Research

Publisher

MDPI AG

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