Lattice-based mmWave hybrid beamforming
Lattice-based mmWave hybrid beamforming
Conventional hybrid precoding and combining based transceivers require a large number of high-resolution radio frequency (RF) phase shifters (PSs), which impose prohibitive hardware costs and power consumption. To address the above issue, both partially connected RF PSs and low-resolution PSs have
been proposed. However, the performance limits of these low-cost designs have not been investigated theoretically. Furthermore, there is room for improvement in their spectral efficiency. To fill this knowledge gap, we derive the mean square error performance discrepancy between an optimal precoder/combiner and
the hybrid analog-digital precoder/combiner under the constraint of 1-bit PSs relying on lattice theory. Then, by observing that this performance gap can be reduced by deactivating parts of the PSs whilst improving both the spectral and energy efficiency, we develop an adaptive RF PS connection network. To resolve the associated hybrid precoding and combining problems, we appropriately adapt Babai’s algorithm from the lattice decoding literature. Our simulation results demonstrate the superiority of the proposed scheme both in terms of its spectral and energy efficiency.
Babai's algorithm, Lattices, hybrid beamforming, massive MIMO
4907-4920
Lyu, Shanxiang
b5cfc95d-1db3-4670-a64d-27eb94401e60
Wang, Zheng
59243dae-4f7d-4700-ab68-db57253ae4ed
Gao, Zhen
c2c956b6-60ea-4d9c-b05f-7ccef9c774ec
He, Hongliang
f3531d89-a57e-4661-a11e-649cd077d6de
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
July 2021
Lyu, Shanxiang
b5cfc95d-1db3-4670-a64d-27eb94401e60
Wang, Zheng
59243dae-4f7d-4700-ab68-db57253ae4ed
Gao, Zhen
c2c956b6-60ea-4d9c-b05f-7ccef9c774ec
He, Hongliang
f3531d89-a57e-4661-a11e-649cd077d6de
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
Lyu, Shanxiang, Wang, Zheng, Gao, Zhen, He, Hongliang and Hanzo, Lajos
(2021)
Lattice-based mmWave hybrid beamforming.
IEEE Transactions on Communications, 69 (7), , [9411813].
(doi:10.1109/TCOMM.2021.3075248).
Abstract
Conventional hybrid precoding and combining based transceivers require a large number of high-resolution radio frequency (RF) phase shifters (PSs), which impose prohibitive hardware costs and power consumption. To address the above issue, both partially connected RF PSs and low-resolution PSs have
been proposed. However, the performance limits of these low-cost designs have not been investigated theoretically. Furthermore, there is room for improvement in their spectral efficiency. To fill this knowledge gap, we derive the mean square error performance discrepancy between an optimal precoder/combiner and
the hybrid analog-digital precoder/combiner under the constraint of 1-bit PSs relying on lattice theory. Then, by observing that this performance gap can be reduced by deactivating parts of the PSs whilst improving both the spectral and energy efficiency, we develop an adaptive RF PS connection network. To resolve the associated hybrid precoding and combining problems, we appropriately adapt Babai’s algorithm from the lattice decoding literature. Our simulation results demonstrate the superiority of the proposed scheme both in terms of its spectral and energy efficiency.
Text
Lattice-Based mmWave Hybrid Beamforming
- Accepted Manuscript
More information
Accepted/In Press date: 19 April 2021
e-pub ahead of print date: 23 April 2021
Published date: July 2021
Additional Information:
Funding Information:
Manuscript received October 11, 2020; revised January 19, 2021 and March 23, 2021; accepted April 19, 2021. Date of publication April 23, 2021; date of current version July 15, 2021. This work was supported in part by the National Natural Science Foundation of China under Grants 61902149, 61801216, 62071044, 62032009 and 61932010, the Natural Science Foundation of Guangdong Province under Grant 2020A1515010393, the Fundamental Research Funds for the Central Universities under Grants 21620438 and 21620350, the Major Program of Guangdong Basic and Applied Research under Grant 2019B030302008, the Natural Science Foundation of Jiangsu Province under Grant BK20180420, the Beijing Municipal Natural Science Foundation under Grant L182024, the Young Elite Scientists Sponsorship Program by CAST under No. YESS20180270, the Talent Innovation Project of BIT, the Engineering and Physical Sciences Research Council projects EP/P034284/1 and EP/P003990/1 (COALESCE) as well as the European Research Council’s Advanced Fellow Grant QuantCom (Grant No. 789028). The associate editor coordinating the review of this article and approving it for publication was C. Masouros. (Corresponding authors: Hongliang He; Lajos Hanzo.) Shanxiang Lyu and Hongliang He are with the College of Cyber Security, Jinan University, Guangzhou 510632, China (e-mail: shanxianglyu@ gmail.com; hehongliang@stu.xjtu.edu.cn).
Publisher Copyright:
© 1972-2012 IEEE.
Keywords:
Babai's algorithm, Lattices, hybrid beamforming, massive MIMO
Identifiers
Local EPrints ID: 448737
URI: http://eprints.soton.ac.uk/id/eprint/448737
ISSN: 0090-6778
PURE UUID: 0956bad1-2e5d-458c-8135-f032a0617087
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Date deposited: 04 May 2021 16:38
Last modified: 18 Mar 2024 02:36
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Contributors
Author:
Shanxiang Lyu
Author:
Zheng Wang
Author:
Zhen Gao
Author:
Hongliang He
Author:
Lajos Hanzo
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