Codebook Based Minimum Subspace Distortion Hybrid Precoding for Millimeter Wave Systems

Ni, Z; Zhang, JA; Yang, K; Gao, F; Gao, Z

Codebook Based Minimum Subspace Distortion Hybrid Precoding for Millimeter Wave Systems

Ni, Z Zhang, JA

Yang, K Gao, F Gao, Z

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Publication Type:: Conference Proceeding
Citation:: 2018 IEEE Globecom Workshops, GC Wkshps 2018 - Proceedings, 2019
Issue Date:: 2019-02-19

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Field	Value	Language
dc.contributor.author	Ni, Z	en_US
dc.contributor.author	Zhang, JA https://orcid.org/0000-0002-6102-3762	en_US
dc.contributor.author	Yang, K	en_US
dc.contributor.author	Gao, F	en_US
dc.contributor.author	Gao, Z	en_US
dc.date.available	2020-12-14T18:03:31Z
dc.date.issued	2019-02-19	en_US
dc.identifier.citation	2018 IEEE Globecom Workshops, GC Wkshps 2018 - Proceedings, 2019	en_US
dc.identifier.isbn	9781538649206	en_US
dc.identifier.uri	http://hdl.handle.net/10453/132093
dc.description.abstract	© 2018 IEEE. Hybrid precoding is adopted for millimeter wave (mmWave) communications to offer a good trade-off between hardware complexity and system performance. In this paper, we investigate a codebook based hybrid precoder for single-user mmWave systems with large antenna arrays. We exploit the sparse nature of mmWave channels to transform the hybrid precoding design problem into a vector space distortion optimization problem which is only related to the radio frequency (RF) precoder. A near optimal solution for the RF optimization problem is derived with the assumption of the perfect channel state information (CSI) at the transmitter, which is practically very difficult to obtain. To reduce the requirement of the CSI at the transmitter, we propose the codebook based minimum subspace distortion (MSD) hybrid precoding algorithm, which obtains CSI at the combiner side and returns the index of optimal RF codewords and the baseband precoder through a limited feedback channel. Simulation results are provided and validate the effectiveness of our proposed hybrid precoding algorithm.	en_US
dc.relation.ispartof	2018 IEEE Globecom Workshops, GC Wkshps 2018 - Proceedings	en_US
dc.relation.isbasedon	10.1109/GLOCOMW.2018.8644400	en_US
dc.rights	info:eu-repo/semantics/openAccess
dc.title	Codebook Based Minimum Subspace Distortion Hybrid Precoding for Millimeter Wave Systems	en_US
dc.type	Conference Proceeding
utslib.for	0805 Distributed Computing	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - GBDTC - Global Big Data Technologies
utslib.copyright.status	open_access	*
pubs.publication-status	Published	en_US

Abstract:

© 2018 IEEE. Hybrid precoding is adopted for millimeter wave (mmWave) communications to offer a good trade-off between hardware complexity and system performance. In this paper, we investigate a codebook based hybrid precoder for single-user mmWave systems with large antenna arrays. We exploit the sparse nature of mmWave channels to transform the hybrid precoding design problem into a vector space distortion optimization problem which is only related to the radio frequency (RF) precoder. A near optimal solution for the RF optimization problem is derived with the assumption of the perfect channel state information (CSI) at the transmitter, which is practically very difficult to obtain. To reduce the requirement of the CSI at the transmitter, we propose the codebook based minimum subspace distortion (MSD) hybrid precoding algorithm, which obtains CSI at the combiner side and returns the index of optimal RF codewords and the baseband precoder through a limited feedback channel. Simulation results are provided and validate the effectiveness of our proposed hybrid precoding algorithm.

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http://hdl.handle.net/10453/132093