Design of Channel Estimation for Hybrid Beamforming Millimeter-Wave Systems in the Presence of Beam Squint
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Noh, Song | - |
dc.contributor.author | Lee, Jaekoo | - |
dc.contributor.author | Yu, Heejung | - |
dc.contributor.author | Song, Jiho | - |
dc.date.accessioned | 2022-06-23T02:40:52Z | - |
dc.date.available | 2022-06-23T02:40:52Z | - |
dc.date.created | 2022-06-22 | - |
dc.date.issued | 2022-06 | - |
dc.identifier.issn | 1932-8184 | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/142334 | - |
dc.description.abstract | In this article, channel estimation for millimeter-wave massive multiple-input-multiple-output (MIMO) systems with hybrid beamforming is considered. With a large number of antenna elements, a progressive time delay across antenna elements incurs a change in the beam direction as a function of subcarriers in an orthogonal frequency-division multiplexing system. Considering the difference in delay across the entire array, a new channel estimation framework is proposed by using a maximum likelihood criterion as a function of the analog training beam and pilot subcarrier assignment. The resulting design achieves asymptotic orthogonality among the channel paths and minimizes the mean squared error. An extension of the proposed design to a uniform planar array is discussed. The Cramer-Rao lower bound for joint channel estimation with hybrid beamforming is derived to verify the effectiveness of the proposed design. | - |
dc.language | English | - |
dc.language.iso | en | - |
dc.publisher | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC | - |
dc.subject | ARRAY | - |
dc.subject | MODEL | - |
dc.title | Design of Channel Estimation for Hybrid Beamforming Millimeter-Wave Systems in the Presence of Beam Squint | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Yu, Heejung | - |
dc.identifier.doi | 10.1109/JSYST.2021.3079924 | - |
dc.identifier.scopusid | 2-s2.0-85111026354 | - |
dc.identifier.wosid | 000732889000001 | - |
dc.identifier.bibliographicCitation | IEEE SYSTEMS JOURNAL, v.16, no.2, pp.2834 - 2843 | - |
dc.relation.isPartOf | IEEE SYSTEMS JOURNAL | - |
dc.citation.title | IEEE SYSTEMS JOURNAL | - |
dc.citation.volume | 16 | - |
dc.citation.number | 2 | - |
dc.citation.startPage | 2834 | - |
dc.citation.endPage | 2843 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Computer Science | - |
dc.relation.journalResearchArea | Engineering | - |
dc.relation.journalResearchArea | Operations Research & Management Science | - |
dc.relation.journalResearchArea | Telecommunications | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Information Systems | - |
dc.relation.journalWebOfScienceCategory | Engineering, Electrical & Electronic | - |
dc.relation.journalWebOfScienceCategory | Operations Research & Management Science | - |
dc.relation.journalWebOfScienceCategory | Telecommunications | - |
dc.subject.keywordPlus | ARRAY | - |
dc.subject.keywordPlus | MODEL | - |
dc.subject.keywordAuthor | Channel estimation | - |
dc.subject.keywordAuthor | Training | - |
dc.subject.keywordAuthor | Array signal processing | - |
dc.subject.keywordAuthor | Antennas | - |
dc.subject.keywordAuthor | Delays | - |
dc.subject.keywordAuthor | Resource management | - |
dc.subject.keywordAuthor | Frequency division multiplexing | - |
dc.subject.keywordAuthor | Beam squint | - |
dc.subject.keywordAuthor | channel estimation | - |
dc.subject.keywordAuthor | hybrid beamforming | - |
dc.subject.keywordAuthor | massive multiple-input multiple-output (MIMO) | - |
dc.subject.keywordAuthor | millimeter wave (mmWave) | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
(02841) 서울특별시 성북구 안암로 14502-3290-1114
COPYRIGHT © 2021 Korea 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.