Information Theory for MIMO Systems

Dear Colleagues,

Multiple input multiple output (MIMO) is an enabling technology for wireless communications systems over decades for its capability of increasing the transmission rate via multiplexing and improving the transmission reliability via diversity by deploying multiple antennas at the transmitters and receivers. Information theory provides the benchmark and guides the design of communication systems since the celebrated seminal work of Shannon in 1948. Despite the considerable amount of research results including information theoretical studies of MIMO communication, the expansion of the communication range and demands of future communication systems such as 6G and IoT pose new challenges. This special Issus aims to bring together recent research efforts that study fundamental limits and signal processing methods of MIMO for the design of next generation communication systems. Possible topics include, but are not limited to the following:

1. Low-latency MIMO communication
2. Low-complexity MIMO detection
3. Cooperative MIMO communication
4. Covert MIMO communication
5. Physical layer security in MIMO systems
6. Random access and NOMA for Multiuser MIMO
7. Joint source-channel coding over MIMO channels
8. Space-air-ground integrated communications with MIMO
9. MIMO beamforming design and beam alignment methods
10. Channel modeling and estimation for MIMO communication
11. Fundamental limits and communication strategies for MIMO ad-hoc networks

Dr. Lin Zhou
Prof. Dr. Lin Bai
Guest Editors

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