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Article: Irregular Array Manifold Aided Channel Estimation in Massive MIMO Communications

TitleIrregular Array Manifold Aided Channel Estimation in Massive MIMO Communications
Authors
KeywordsChannel estimation
Antenna arrays
Arrays
Manifolds
MIMO communication
Issue Date2019
PublisherInstitute of Electrical and Electronics Engineers. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=4200690
Citation
IEEE Journal of Selected Topics in Signal Processing, 2019, v. 13 n. 5, p. 974-988 How to Cite?
AbstractAngle information aided channel estimation has recently attracted extensive attention since its exploitation of the underlying angular channel structure has brought significant performance improvement. Nevertheless, current research works are mostly tailored to one dimensional (1D) or two dimensional (2D) antenna arrays. Being heavily dependent on the shift-invariant structure of the arrays, these existing results cannot be easily extended to irregular three dimensional (3D) arrays, which however are indispensable for base stations with large numbers of antennas but limited space. To extend the angle aided channel estimation to the regime of 3D irregular arrays, the channel estimation problem for an irregularly shaped array is linked to an array manifold constrained complex-valued tensor decomposition problem under missing data, and an efficient two-stage channel estimation algorithm that can automatically estimate the channel path number is further proposed. Simulation results are presented to demonstrate the excellent performance of the proposed algorithm in channel estimation, including path number enumeration.
Persistent Identifierhttp://hdl.handle.net/10722/290166
ISSN
2019 Impact Factor: 4.981
2015 SCImago Journal Rankings: 1.759

 

DC FieldValueLanguage
dc.contributor.authorCheng, L-
dc.contributor.authorXing, C-
dc.contributor.authorWu, YC-
dc.date.accessioned2020-10-22T08:22:59Z-
dc.date.available2020-10-22T08:22:59Z-
dc.date.issued2019-
dc.identifier.citationIEEE Journal of Selected Topics in Signal Processing, 2019, v. 13 n. 5, p. 974-988-
dc.identifier.issn1932-4553-
dc.identifier.urihttp://hdl.handle.net/10722/290166-
dc.description.abstractAngle information aided channel estimation has recently attracted extensive attention since its exploitation of the underlying angular channel structure has brought significant performance improvement. Nevertheless, current research works are mostly tailored to one dimensional (1D) or two dimensional (2D) antenna arrays. Being heavily dependent on the shift-invariant structure of the arrays, these existing results cannot be easily extended to irregular three dimensional (3D) arrays, which however are indispensable for base stations with large numbers of antennas but limited space. To extend the angle aided channel estimation to the regime of 3D irregular arrays, the channel estimation problem for an irregularly shaped array is linked to an array manifold constrained complex-valued tensor decomposition problem under missing data, and an efficient two-stage channel estimation algorithm that can automatically estimate the channel path number is further proposed. Simulation results are presented to demonstrate the excellent performance of the proposed algorithm in channel estimation, including path number enumeration.-
dc.languageeng-
dc.publisherInstitute of Electrical and Electronics Engineers. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=4200690-
dc.relation.ispartofIEEE Journal of Selected Topics in Signal Processing-
dc.rightsIEEE Journal of Selected Topics in Signal Processing. Copyright © Institute of Electrical and Electronics Engineers.-
dc.rights©20xx 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.-
dc.subjectChannel estimation-
dc.subjectAntenna arrays-
dc.subjectArrays-
dc.subjectManifolds-
dc.subjectMIMO communication-
dc.titleIrregular Array Manifold Aided Channel Estimation in Massive MIMO Communications-
dc.typeArticle-
dc.identifier.emailWu, YC: ycwu@eee.hku.hk-
dc.identifier.authorityWu, YC=rp00195-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1109/JSTSP.2019.2937392-
dc.identifier.scopuseid_2-s2.0-85072612411-
dc.identifier.hkuros316732-
dc.identifier.volume13-
dc.identifier.issue5-
dc.identifier.spage974-
dc.identifier.epage988-
dc.publisher.placeUnited States-

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