Max-min rate optimization of low-complexity hybrid multi-user beamforming maintaining rate-fairness
Max-min rate optimization of low-complexity hybrid multi-user beamforming maintaining rate-fairness
A wireless network serving multiple users in the millimeter-wave or the sub-terahertz band by a base station is considered. High-throughput multi-user hybrid-transmit beamforming is conceived by maximizing the minimum rate of the users. For the sake of energy-efficient signal transmission, the array-of-subarrays structure is used for analog beamforming relying on low-resolution phase shifters. We develop a convexsolver based algorithm, which iteratively invokes a convex problem of the same beamformer size for its solution. We then introduce the soft max-min rate objective function and develop a scalable algorithm for its optimization. Our simulation results demonstrate the striking fact that soft max-min rate optimization not only approaches the minimum user rate obtained by max-min rate optimization but it also achieves a sum rate similar to that of sum-rate maximization. Thus, the soft max-min rate optimization based beamforming design conceived offers a new technique of simultaneously achieving a high individual quality-of-service for all users and a high total network throughput.
Zhu, W.
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Tuan, H.D.
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Dutkiewicz, E.
758c11d4-76a2-4df8-8ec9-451a8ff91aab
Poor, H.V.
ace801ca-0c45-451f-9509-217ea29e32e1
Hanzo, L.
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Zhu, W.
5996f1d5-1840-4430-a9a4-10c993db0805
Tuan, H.D.
47dc4b79-2c0f-43bd-8952-d8f4a6a04711
Dutkiewicz, E.
758c11d4-76a2-4df8-8ec9-451a8ff91aab
Poor, H.V.
ace801ca-0c45-451f-9509-217ea29e32e1
Hanzo, L.
66e7266f-3066-4fc0-8391-e000acce71a1
Zhu, W., Tuan, H.D., Dutkiewicz, E., Poor, H.V. and Hanzo, L.
(2023)
Max-min rate optimization of low-complexity hybrid multi-user beamforming maintaining rate-fairness.
IEEE Transactions on Wireless Communications.
(In Press)
Abstract
A wireless network serving multiple users in the millimeter-wave or the sub-terahertz band by a base station is considered. High-throughput multi-user hybrid-transmit beamforming is conceived by maximizing the minimum rate of the users. For the sake of energy-efficient signal transmission, the array-of-subarrays structure is used for analog beamforming relying on low-resolution phase shifters. We develop a convexsolver based algorithm, which iteratively invokes a convex problem of the same beamformer size for its solution. We then introduce the soft max-min rate objective function and develop a scalable algorithm for its optimization. Our simulation results demonstrate the striking fact that soft max-min rate optimization not only approaches the minimum user rate obtained by max-min rate optimization but it also achieves a sum rate similar to that of sum-rate maximization. Thus, the soft max-min rate optimization based beamforming design conceived offers a new technique of simultaneously achieving a high individual quality-of-service for all users and a high total network throughput.
Text
mmwave_subTHz_max_min_final
More information
Accepted/In Press date: 22 October 2023
Additional Information:
The work was supported in part by the Australian Research Council’s Discovery Projects under Grant DP190102501, in part by the U.S National Science Foundation under Grants CNS-2128448 and ECCS-2335876, in part by the Engineering and Physical Sciences Research Council projects EP/W016605/1, EP/X01228X/1 and EP/Y026721/1 as well as of the European Research Council’s Advanced Fellow Grant QuantCom (Grant No. 789028)
Identifiers
Local EPrints ID: 483618
URI: http://eprints.soton.ac.uk/id/eprint/483618
ISSN: 1536-1276
PURE UUID: 8cad3397-9f67-4974-a2a1-6a5f36227e3c
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Date deposited: 02 Nov 2023 17:50
Last modified: 18 Mar 2024 05:01
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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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