Simultaneous beam and user selection for the beamspace mmWave/THz massive MIMO downlink
Simultaneous beam and user selection for the beamspace mmWave/THz massive MIMO downlink
Beamspace millimeter-wave (mmWave) and terahertz (THz) massive MIMO constitute attractive schemes for next-generation communications, given their abundant bandwidth and high throughput. However, their user and beam selection problem has not been efficiently addressed yet. Inspired by this challenge, we develop low-complexity solutions explicitly. In contrast to the zero forcing in the prior art, we introduce the dirty paper coding (DPC) into the joint user and beam selection problem. We unveil the compelling properties of the DPC sum rate in beamspace massive MIMO, showing its monotonic evolution against the number of users and beams selected. We then exploit its beneficial properties for substantially simplifying the joint user and beam selection problem. Furthermore, we develop a set of algorithms striking unique trade-offs for solving the simplified problem, facilitating simultaneous user and beam selection based on partial beamspace channels for the first time. Additionally, we derive the sum rate bound of the algorithms and analyze their complexity. Our simulation results validate the effectiveness of the proposed design and analysis, confirming their superiority over prior solutions.
Antenna arrays, Array signal processing, Butler matrix, Complexity theory, DPC, Discrete Fourier transforms, Massive MIMO, Millimeter wave communication, Multi-user MIMO communications, Radio frequency, beam selection, beamspace MIMO, lens antenna array, sum rate, user selection, zero forcing (ZF)
1785-1797
Wu, Kai
3aa3e84f-d870-448f-b347-362a5ac63737
Zhang, J. Andrew
0fbe3cc6-d27c-4d9c-8f99-4e5a7b43c900
Huang, Xiaojing
dda503f6-c404-45f4-8129-dbf223d7cd1c
Guo, Y. Jay
0346e214-0231-46b7-bd55-c614904fdf57
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
March 2023
Wu, Kai
3aa3e84f-d870-448f-b347-362a5ac63737
Zhang, J. Andrew
0fbe3cc6-d27c-4d9c-8f99-4e5a7b43c900
Huang, Xiaojing
dda503f6-c404-45f4-8129-dbf223d7cd1c
Guo, Y. Jay
0346e214-0231-46b7-bd55-c614904fdf57
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
Wu, Kai, Zhang, J. Andrew, Huang, Xiaojing, Guo, Y. Jay and Hanzo, Lajos
(2023)
Simultaneous beam and user selection for the beamspace mmWave/THz massive MIMO downlink.
IEEE Transactions on Communications, 71 (3), .
(doi:10.1109/TCOMM.2023.3238039).
Abstract
Beamspace millimeter-wave (mmWave) and terahertz (THz) massive MIMO constitute attractive schemes for next-generation communications, given their abundant bandwidth and high throughput. However, their user and beam selection problem has not been efficiently addressed yet. Inspired by this challenge, we develop low-complexity solutions explicitly. In contrast to the zero forcing in the prior art, we introduce the dirty paper coding (DPC) into the joint user and beam selection problem. We unveil the compelling properties of the DPC sum rate in beamspace massive MIMO, showing its monotonic evolution against the number of users and beams selected. We then exploit its beneficial properties for substantially simplifying the joint user and beam selection problem. Furthermore, we develop a set of algorithms striking unique trade-offs for solving the simplified problem, facilitating simultaneous user and beam selection based on partial beamspace channels for the first time. Additionally, we derive the sum rate bound of the algorithms and analyze their complexity. Our simulation results validate the effectiveness of the proposed design and analysis, confirming their superiority over prior solutions.
Text
final-4
- Accepted Manuscript
More information
Accepted/In Press date: 13 January 2023
e-pub ahead of print date: 19 January 2023
Published date: March 2023
Additional Information:
Funding Information: this work is partially supported by the Australian Research Council under the Discovery Project Grant DP210101411. Lajos 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 (Grant No. 789028)
Keywords:
Antenna arrays, Array signal processing, Butler matrix, Complexity theory, DPC, Discrete Fourier transforms, Massive MIMO, Millimeter wave communication, Multi-user MIMO communications, Radio frequency, beam selection, beamspace MIMO, lens antenna array, sum rate, user selection, zero forcing (ZF)
Identifiers
Local EPrints ID: 474409
URI: http://eprints.soton.ac.uk/id/eprint/474409
ISSN: 0090-6778
PURE UUID: f26b6227-20bc-4cef-b6a2-e95009e8aefa
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Date deposited: 21 Feb 2023 17:50
Last modified: 18 Mar 2024 02:36
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Contributors
Author:
Kai Wu
Author:
J. Andrew Zhang
Author:
Xiaojing Huang
Author:
Y. Jay Guo
Author:
Lajos Hanzo
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