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Electromagnetic information theory: fundamentals and applications for 6G wireless communication systems

Electromagnetic information theory: fundamentals and applications for 6G wireless communication systems
Electromagnetic information theory: fundamentals and applications for 6G wireless communication systems
In wireless communications, electromagnetic theory and information theory constitute a pair of fundamental theories, bridged by antenna theory and wireless propagation channel modeling theory. Up to the fifth generation (5G) wireless communication networks, these four theories have been developing relatively independently. However, in sixth generation (6G) spaceair- ground-sea wireless communication networks, seamless coverage is expected in the three-dimensional (3D) space, potentially necessitating the acquisition of channel state information (CSI) and channel capacity calculation at anywhere and any time. Additionally, the key 6G technologies such as ultra-massive multipleinput multiple-output (MIMO) and holographic MIMO achieves intricate interaction of the antennas and wireless propagation environments, which necessitates the joint modeling of antennas and wireless propagation channels. To address the challenges in 6G, the integration of the above four theories becomes inevitable, leading to the concept of the so-called electromagnetic information theory (EIT). In this article, a suite of 6G key technologies is highlighted. Then, the concepts and relationships of the four theories are unveiled. Finally, the necessity and benefits of integrating them into the EIT are revealed.
0163-6804
Wang, Cheng-Xiang
40ee8155-dd89-4ac4-a88c-ea96f502f89c
Yang, Yue
37a3e2c3-d2db-4363-ac51-1b6c62595750
Huang, Jie
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Gao, Xiqi
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Cui, Tie Jun
7897c47c-b45c-4c74-b0ff-1a328db60035
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
Wang, Cheng-Xiang
40ee8155-dd89-4ac4-a88c-ea96f502f89c
Yang, Yue
37a3e2c3-d2db-4363-ac51-1b6c62595750
Huang, Jie
c28d1ec2-2198-4f8a-bd7b-f20cf451542a
Gao, Xiqi
7bc7fc04-e40a-4054-93d2-d7edcbf05f1f
Cui, Tie Jun
7897c47c-b45c-4c74-b0ff-1a328db60035
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1

Wang, Cheng-Xiang, Yang, Yue, Huang, Jie, Gao, Xiqi, Cui, Tie Jun and Hanzo, Lajos (2024) Electromagnetic information theory: fundamentals and applications for 6G wireless communication systems. IEEE Communications Magazine. (In Press)

Record type: Article

Abstract

In wireless communications, electromagnetic theory and information theory constitute a pair of fundamental theories, bridged by antenna theory and wireless propagation channel modeling theory. Up to the fifth generation (5G) wireless communication networks, these four theories have been developing relatively independently. However, in sixth generation (6G) spaceair- ground-sea wireless communication networks, seamless coverage is expected in the three-dimensional (3D) space, potentially necessitating the acquisition of channel state information (CSI) and channel capacity calculation at anywhere and any time. Additionally, the key 6G technologies such as ultra-massive multipleinput multiple-output (MIMO) and holographic MIMO achieves intricate interaction of the antennas and wireless propagation environments, which necessitates the joint modeling of antennas and wireless propagation channels. To address the challenges in 6G, the integration of the above four theories becomes inevitable, leading to the concept of the so-called electromagnetic information theory (EIT). In this article, a suite of 6G key technologies is highlighted. Then, the concepts and relationships of the four theories are unveiled. Finally, the necessity and benefits of integrating them into the EIT are revealed.

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WCM-23-00399_Accept_vf_240118 - Accepted Manuscript
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More information

Accepted/In Press date: 17 January 2024

Identifiers

Local EPrints ID: 486408
URI: http://eprints.soton.ac.uk/id/eprint/486408
ISSN: 0163-6804
PURE UUID: 13bcb55b-cba0-4491-803a-6bbf821d526a
ORCID for Lajos Hanzo: ORCID iD orcid.org/0000-0002-2636-5214

Catalogue record

Date deposited: 19 Jan 2024 18:38
Last modified: 18 Mar 2024 05:03

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Contributors

Author: Cheng-Xiang Wang
Author: Yue Yang
Author: Jie Huang
Author: Xiqi Gao
Author: Tie Jun Cui
Author: Lajos Hanzo ORCID iD

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