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Revisiting the energy-efficient hybrid D-A precoding and combining design for mm-wave systems
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Alluhaibi, Osama, Ahmed, Qasim Zeeshan, Kampert, Erik, Higgins, Matthew D. and Wang, Jiangzhou (2020) Revisiting the energy-efficient hybrid D-A precoding and combining design for mm-wave systems. IEEE Transactions on Green Communications and Networking, 4 (2). pp. 340-354. doi:10.1109/TGCN.2020.2972267 ISSN 2473-2400.
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Official URL: http://dx.doi.org/10.1109/TGCN.2020.2972267
Abstract
Hybrid digital to analog (D-A) precoding is widely used in millimeter wave systems to reduce the power consumption and implementation complexity incurred by the number of radio frequency (RF) chains that consume a lot of the transmitted power in this system. In this paper, an optimal number of RF chains is proposed to achieve the desired energy efficiency (EE). Here, the optimization problem is formulated in terms of fractional programming maximization, resulting in a method with a twofold novelty: First, the optimal number of RF chains is determined by the proposed bisection algorithm, which results in an optimized number of data streams. Second, the optimal analog precoders/combiners are designed by eigenvalue decomposition and a power iteration algorithm, followed by the digital precoders/combiners which are designed based on the singular value decomposition of the proposed effective uplink and downlink channel gains. Furthermore, the proposed D-A systems are designed carefully to attain a lower complexity than the existing D-A algorithms while achieving reasonable performance. Finally, the impact of utilizing a different number of quantized bits of resolution on the EE is investigated. Simulation results show that the proposed algorithms outperform existing algorithms in terms of EE, spectral efficiency, and computational complexity.
Item Type: | Journal Article | ||||||||||
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Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering T Technology > TL Motor vehicles. Aeronautics. Astronautics |
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Divisions: | Faculty of Science, Engineering and Medicine > Engineering > WMG (Formerly the Warwick Manufacturing Group) | ||||||||||
Library of Congress Subject Headings (LCSH): | Energy consumption, 5G mobile communication systems, Wave functions, MIMO systems | ||||||||||
Journal or Publication Title: | IEEE Transactions on Green Communications and Networking | ||||||||||
Publisher: | IEEE | ||||||||||
ISSN: | 2473-2400 | ||||||||||
Official Date: | June 2020 | ||||||||||
Dates: |
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Volume: | 4 | ||||||||||
Number: | 2 | ||||||||||
Page Range: | pp. 340-354 | ||||||||||
DOI: | 10.1109/TGCN.2020.2972267 | ||||||||||
Status: | Peer Reviewed | ||||||||||
Publication Status: | Published | ||||||||||
Reuse Statement (publisher, data, author rights): | © 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | ||||||||||
Access rights to Published version: | Restricted or Subscription Access | ||||||||||
Date of first compliant deposit: | 9 February 2020 | ||||||||||
RIOXX Funder/Project Grant: |
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