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Reconfigurable massive MIMO: harnessing the power of the electromagnetic domain for enhanced information transfer

Reconfigurable massive MIMO: harnessing the power of the electromagnetic domain for enhanced information transfer
Reconfigurable massive MIMO: harnessing the power of the electromagnetic domain for enhanced information transfer
The capacity of commercial massive multiple-input multiple-output (mMIMO) systems is constrained by the limited array aperture at the base station, and cannot meet the ever-increasing traffic demands of wireless networks. Given the array aperture, holographic MIMO with infinitesimal antenna spacing can maximize the capacity, but is physically unrealizable. As a promising alternative, reconfigurable mMIMO is proposed to harness the unexploited power of the electromagnetic (EM) domain for enhanced information transfer. Specifically, the reconfigurable pixel antenna technology provides each antenna with an adjustable EM radiation (EMR) pattern, introducing extra degrees of freedom for information transfer in the EM domain. In this article, we present the concept and benefits of availing the EMR domain for mMIMO transmission. Moreover, we propose a viable architecture for reconfigurable mMIMO systems, and the associated system model and downlink precoding are also discussed. In particular, a three-level precoding scheme is proposed, and simulation results verify its considerable spectral and energy efficiency advantages compared to traditional mMIMO systems. Finally, we further discuss the challenges, insights, and prospects of deploying reconfigurable mMIMO, along with the associated hardware, algorithms, and fundamental theory.
1536-1284
Ying, Keke
3ee038e3-bf6b-4af3-9338-edb6a32bba73
Gao, Zhen
e0ab17e4-5297-4334-8b64-87924feb7876
Chen, Sheng
9310a111-f79a-48b8-98c7-383ca93cbb80
Gao, Xinyu
291786fc-b5a7-445c-808a-0e65366ddc2a
Matthaiou, Michail
feba629c-bd3c-4a3a-a157-f601e43e2e18
Zhang, Rui
ee3ae44b-79d2-4279-a61a-aa61ee9e0d52
Schober, Robert
42d5dec0-1ec3-4dff-b2c2-27f172c4a555
Ying, Keke
3ee038e3-bf6b-4af3-9338-edb6a32bba73
Gao, Zhen
e0ab17e4-5297-4334-8b64-87924feb7876
Chen, Sheng
9310a111-f79a-48b8-98c7-383ca93cbb80
Gao, Xinyu
291786fc-b5a7-445c-808a-0e65366ddc2a
Matthaiou, Michail
feba629c-bd3c-4a3a-a157-f601e43e2e18
Zhang, Rui
ee3ae44b-79d2-4279-a61a-aa61ee9e0d52
Schober, Robert
42d5dec0-1ec3-4dff-b2c2-27f172c4a555

Ying, Keke, Gao, Zhen, Chen, Sheng, Gao, Xinyu, Matthaiou, Michail, Zhang, Rui and Schober, Robert (2023) Reconfigurable massive MIMO: harnessing the power of the electromagnetic domain for enhanced information transfer. IEEE Wireless Communications. (In Press)

Record type: Article

Abstract

The capacity of commercial massive multiple-input multiple-output (mMIMO) systems is constrained by the limited array aperture at the base station, and cannot meet the ever-increasing traffic demands of wireless networks. Given the array aperture, holographic MIMO with infinitesimal antenna spacing can maximize the capacity, but is physically unrealizable. As a promising alternative, reconfigurable mMIMO is proposed to harness the unexploited power of the electromagnetic (EM) domain for enhanced information transfer. Specifically, the reconfigurable pixel antenna technology provides each antenna with an adjustable EM radiation (EMR) pattern, introducing extra degrees of freedom for information transfer in the EM domain. In this article, we present the concept and benefits of availing the EMR domain for mMIMO transmission. Moreover, we propose a viable architecture for reconfigurable mMIMO systems, and the associated system model and downlink precoding are also discussed. In particular, a three-level precoding scheme is proposed, and simulation results verify its considerable spectral and energy efficiency advantages compared to traditional mMIMO systems. Finally, we further discuss the challenges, insights, and prospects of deploying reconfigurable mMIMO, along with the associated hardware, algorithms, and fundamental theory.

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ComMagMRA2023 - Accepted Manuscript
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Accepted/In Press date: 22 February 2023

Identifiers

Local EPrints ID: 475957
URI: http://eprints.soton.ac.uk/id/eprint/475957
ISSN: 1536-1284
PURE UUID: aba36f49-feb4-4f02-a233-f26e6832dd98

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Date deposited: 03 Apr 2023 16:32
Last modified: 17 Mar 2024 01:07

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Contributors

Author: Keke Ying
Author: Zhen Gao
Author: Sheng Chen
Author: Xinyu Gao
Author: Michail Matthaiou
Author: Rui Zhang
Author: Robert Schober

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