Intelligent Massive MIMO Systems for Beyond 5G Networks: An Overview and Future Trends

Author:

Elijah Olakunle1ORCID,Abdul Rahim Sharul Kamal1ORCID,New Wee Kiat1ORCID,Leow Chee Yen1ORCID,Cumanan Kanapathippillai2,Kim Geok Tan3

Affiliation:

1. Wireless Communication Center, Faculty of Engineering, School of Electrical Engineering, Universiti Teknologi Malaysia (UTM), Johor Bahru, Malaysia

2. School of Physics, Engineering and Technology, University of York, York, U.K.

3. Faculty of Engineering and Technology, Multimedia University, Malacca, Malaysia

Funder

Ministry of Higher Education Malaysia

Universiti Teknologi Malaysia

Telekom Malaysia Berhard

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Cited by 12 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Federated learning for green and sustainable 6G IIoT applications;Internet of Things;2024-04

2. Beamforming Techniques for MIMO-NOMA for 5G and Beyond 5G: Research Gaps and Future Directions;Circuits, Systems, and Signal Processing;2023-11-02

3. Massive MIMO Power Allocation Using Deep Reinforcement Learning;2023 International Symposium on Electrical and Electronics Engineering (ISEE);2023-10-19

4. Massive MIMO Data Detection Using Matrix Inversion Method and Deep Neural Network;2023 IEEE Asia Pacific Conference on Wireless and Mobile (APWiMob);2023-10-10

5. Deep Neural Networks Based on QRM-MLD for SD-SM-MIMO;2023 IEEE 12th Global Conference on Consumer Electronics (GCCE);2023-10-10

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