Channel Correlation Modeling and its Application to Massive MIMO Channel Feedback Reduction
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Joung, Jingon | - |
dc.contributor.author | Kurniawan, Ernest | - |
dc.contributor.author | Sun, Sumei | - |
dc.date.available | 2019-03-08T08:56:52Z | - |
dc.date.issued | 2017-05 | - |
dc.identifier.issn | 0018-9545 | - |
dc.identifier.issn | 1939-9359 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/4511 | - |
dc.description.abstract | In this paper, we propose a feedback information reduction technique for massive multiple-input multiple-output (MIMO) systems. To this end, we analytically derive a covariance matrix of spatially correlated Rayleigh fading channels in closed form. The covariance matrix is expressed based on its statistics, including transmit and receive antennas' correlation factors, channel variance, and channel delay profile. The closed-form expression enables a principal component analysis (PCA)-based compression of channel state information (CSI), which allows the feedback overhead to be efficiently reduced. We also analyze the compression feedback error, bit-error-rate (BER) performance, and the spectral efficiency (SE) of the system using the PCA-based compression. Under our proposed model, numerical results verify that the PCA-based compression method significantly reduces the feedback overhead of the massive MIMO systems with marginal performance degradation from full-CSI feedback. Furthermore, we propose a new design framework by numerically showing that there exists the optimal number of transmit antennas in terms of SE for a given limited feedback amount. | - |
dc.format.extent | 11 | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.publisher | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC | - |
dc.title | Channel Correlation Modeling and its Application to Massive MIMO Channel Feedback Reduction | - |
dc.type | Article | - |
dc.identifier.doi | 10.1109/TVT.2016.2598364 | - |
dc.identifier.bibliographicCitation | IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, v.66, no.5, pp 3787 - 3797 | - |
dc.description.isOpenAccess | N | - |
dc.identifier.wosid | 000401339700023 | - |
dc.identifier.scopusid | 2-s2.0-85022021996 | - |
dc.citation.endPage | 3797 | - |
dc.citation.number | 5 | - |
dc.citation.startPage | 3787 | - |
dc.citation.title | IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY | - |
dc.citation.volume | 66 | - |
dc.type.docType | Article | - |
dc.publisher.location | 미국 | - |
dc.subject.keywordAuthor | Channel feedback | - |
dc.subject.keywordAuthor | channel state information (CSI) compression | - |
dc.subject.keywordAuthor | massive multiple-input multiple-output (MIMO) | - |
dc.subject.keywordAuthor | principal component analysis (PCA) | - |
dc.subject.keywordPlus | SYSTEMS | - |
dc.subject.keywordPlus | COMPRESSION | - |
dc.subject.keywordPlus | INFORMATION | - |
dc.subject.keywordPlus | EFFICIENT | - |
dc.subject.keywordPlus | CAPACITY | - |
dc.relation.journalResearchArea | Engineering | - |
dc.relation.journalResearchArea | Telecommunications | - |
dc.relation.journalResearchArea | Transportation | - |
dc.relation.journalWebOfScienceCategory | Engineering, Electrical & Electronic | - |
dc.relation.journalWebOfScienceCategory | Telecommunications | - |
dc.relation.journalWebOfScienceCategory | Transportation Science & Technology | - |
dc.description.journalRegisteredClass | sci | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
84, Heukseok-ro, Dongjak-gu, Seoul, Republic of Korea (06974)02-820-6194
COPYRIGHT 2019 Chung-Ang University All Rights Reserved.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.