Holographic multi-user multi-stream beamforming maintaining rate-fairness
Holographic multi-user multi-stream beamforming maintaining rate-fairness
We present the first investigation into the transmission of multi-stream information from a base station equipped with reconfigurable holographic surfaces (RHS) to multiple users with the aid of multi-antenna arrays. Building upon this, we propose the joint design of RHS and baseband beamformers that enables multi-stream delivery at fair rates across all users. Specifically, we first introduce a max-min rate optimization approach, which aims for maximizing the minimum rate for all users through iterative solutions of quadratic problems. To reduce complexity, we then propose a surrogate-based optimization approach that offers a low-complexity design alternative relying on closed-form updates. Our simulations show that the surrogate-based approach achieves nearly the same minimum rate as max-min optimization, while delivering sum-rates comparable to those of sum-rate maximization, overcoming the rate-fairness deficiency typical of the latter.
Zhu, W.
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Tuan, H.D.
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Dutkiewicz, E.
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Poor, H.V.
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Hanzo, L.
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Zhu, W.
a7d57355-9229-4869-98c2-eeb39a22676e
Tuan, H.D.
d46ced97-60c5-4ad9-99cb-40395d83c040
Dutkiewicz, E.
0c5b3abc-90bb-4aed-bf59-84b354e1a619
Poor, H.V.
ba224e54-7eb5-480b-9084-b29f0e82ccfa
Hanzo, L.
66e7266f-3066-4fc0-8391-e000acce71a1
Zhu, W., Tuan, H.D., Dutkiewicz, E., Poor, H.V. and Hanzo, L.
(2025)
Holographic multi-user multi-stream beamforming maintaining rate-fairness.
IEEE Transactions on Wireless Communications.
(doi:10.1109/TWC.2025.3613416).
Abstract
We present the first investigation into the transmission of multi-stream information from a base station equipped with reconfigurable holographic surfaces (RHS) to multiple users with the aid of multi-antenna arrays. Building upon this, we propose the joint design of RHS and baseband beamformers that enables multi-stream delivery at fair rates across all users. Specifically, we first introduce a max-min rate optimization approach, which aims for maximizing the minimum rate for all users through iterative solutions of quadratic problems. To reduce complexity, we then propose a surrogate-based optimization approach that offers a low-complexity design alternative relying on closed-form updates. Our simulations show that the surrogate-based approach achieves nearly the same minimum rate as max-min optimization, while delivering sum-rates comparable to those of sum-rate maximization, overcoming the rate-fairness deficiency typical of the latter.
Text
holobeam_final_19_09_25
- Accepted Manuscript
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e-pub ahead of print date: 6 October 2025
Identifiers
Local EPrints ID: 506251
URI: http://eprints.soton.ac.uk/id/eprint/506251
ISSN: 1536-1276
PURE UUID: 96163c5c-1737-4b5f-acbd-9be08779eed5
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Date deposited: 31 Oct 2025 17:35
Last modified: 01 Nov 2025 02:32
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Contributors
Author:
W. Zhu
Author:
H.D. Tuan
Author:
E. Dutkiewicz
Author:
H.V. Poor
Author:
L. Hanzo
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