A tutorial on holographic MIMO communications—part I: channel modeling and channel estimation
A tutorial on holographic MIMO communications—part I: channel modeling and channel estimation
By integrating a nearly infinite number of reconfigurable elements into a finite space, a spatially continuous array aperture is formed for holographic multiple-input multiple-output (HMIMO) communications. This three-part tutorial aims for providing an overview of the latest advances in HMIMO communications. As Part I of the tutorial, this letter first introduces the fundamental concept of HMIMO and reviews the recent progress in HMIMO channel modeling, followed by a suite of efficient channel estimation approaches. Finally, numerical results are provided for demonstrating the statistical consistency of the new HMIMO channel model advocated with conventional ones and evaluating the performance of the channel estimators. Parts II and III of the tutorial will delve into the performance analysis and holographic beamforming, and detail the interplay of HMIMO with emerging technologies.
Antenna arrays, Channel estimation, Channel models, Fading channels, Holographic MIMO communications, Three-dimensional displays, Transceivers, Tutorials, channel estimation, channel modeling
1664-1668
An, Jiancheng
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Yuen, Chau
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Huang, Chongwen
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Debbah, Merouane
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Poor, H. Vincent
ace801ca-0c45-451f-9509-217ea29e32e1
Hanzo, Lajos
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1 July 2023
An, Jiancheng
5fa38cfb-6010-4404-a39c-f03c68f248c5
Yuen, Chau
0dd04333-bade-4812-b3df-a416597f1325
Huang, Chongwen
cb95630b-82c2-45c1-959e-b636774b8c61
Debbah, Merouane
fe23e026-1926-49c7-97d7-425ad555152a
Poor, H. Vincent
ace801ca-0c45-451f-9509-217ea29e32e1
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
An, Jiancheng, Yuen, Chau, Huang, Chongwen, Debbah, Merouane, Poor, H. Vincent and Hanzo, Lajos
(2023)
A tutorial on holographic MIMO communications—part I: channel modeling and channel estimation.
IEEE Communications Letters, 27 (7), .
(doi:10.1109/LCOMM.2023.3278683).
Abstract
By integrating a nearly infinite number of reconfigurable elements into a finite space, a spatially continuous array aperture is formed for holographic multiple-input multiple-output (HMIMO) communications. This three-part tutorial aims for providing an overview of the latest advances in HMIMO communications. As Part I of the tutorial, this letter first introduces the fundamental concept of HMIMO and reviews the recent progress in HMIMO channel modeling, followed by a suite of efficient channel estimation approaches. Finally, numerical results are provided for demonstrating the statistical consistency of the new HMIMO channel model advocated with conventional ones and evaluating the performance of the channel estimators. Parts II and III of the tutorial will delve into the performance analysis and holographic beamforming, and detail the interplay of HMIMO with emerging technologies.
Text
A_Tutorial_on_Holographic_MIMO_Communications_Part_I__Channel_Modeling_and_Channel_Estimation
- Accepted Manuscript
More information
Accepted/In Press date: 18 May 2023
e-pub ahead of print date: 22 May 2023
Published date: 1 July 2023
Additional Information:
Funding Information:
The work of Chongwen Huang was supported by the China National Key RandD Program under Grant 2021YFA1000500, National Natural Science Foundation of China under Grant 62101492, Zhejiang Provincial Natural Science Foundation of China under Grant LR22F010002, Zhejiang University Global Partnership Fund, Zhejiang University Education Foundation Qizhen Scholar Foundation, and Fundamental Research Funds for the Central Universities under Grant 2021FZZX001-21. L. Hanzo would like to acknowledge the financial
support of the Engineering and Physical Sciences Research Council projects
EP/W016605/1 and EP/X01228X/1 as well as of the European Research
Council’s Advanced Fellow Grant QuantCom (
Publisher Copyright:
© 1997-2012 IEEE.
Keywords:
Antenna arrays, Channel estimation, Channel models, Fading channels, Holographic MIMO communications, Three-dimensional displays, Transceivers, Tutorials, channel estimation, channel modeling
Identifiers
Local EPrints ID: 477396
URI: http://eprints.soton.ac.uk/id/eprint/477396
ISSN: 1089-7798
PURE UUID: bef5a297-cf73-4751-9b03-b41818c1f916
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Date deposited: 06 Jun 2023 16:31
Last modified: 18 Mar 2024 02:36
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Contributors
Author:
Jiancheng An
Author:
Chau Yuen
Author:
Chongwen Huang
Author:
Merouane Debbah
Author:
H. Vincent Poor
Author:
Lajos Hanzo
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