Detection of Large-Scale Wireless Systems via Sparse Error Recovery
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Choi, Jun Won | - |
dc.contributor.author | Shim, Byonghyo | - |
dc.date.accessioned | 2022-07-13T04:23:26Z | - |
dc.date.available | 2022-07-13T04:23:26Z | - |
dc.date.created | 2021-05-12 | - |
dc.date.issued | 2017-11 | - |
dc.identifier.issn | 1053-587X | - |
dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/151367 | - |
dc.description.abstract | In this paper, we propose a new detection algorithm for large-scale wireless systems, referred to as post sparse error detection (PSED) algorithm, that employs a sparse error recovery algorithm to refine the estimate of a symbol vector obtained by the conventional linear detector. The PSED algorithm operates in two steps: First, sparse transformation converting the original nonsparse system into the sparse system whose input is an error vector caused by the symbol slicing; and second, the estimation of the error vector using the sparse recovery algorithm. From the asymptotic mean square error analysis and empirical simulations performed on large-scale wireless systems, we show that the PSED algorithm brings significant performance gain over classical linear detectors while imposing relatively small computational overhead. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC | - |
dc.title | Detection of Large-Scale Wireless Systems via Sparse Error Recovery | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Choi, Jun Won | - |
dc.identifier.doi | 10.1109/TSP.2017.2749214 | - |
dc.identifier.scopusid | 2-s2.0-85029159112 | - |
dc.identifier.wosid | 000411680100016 | - |
dc.identifier.bibliographicCitation | IEEE TRANSACTIONS ON SIGNAL PROCESSING, v.65, no.22, pp.6038 - 6052 | - |
dc.relation.isPartOf | IEEE TRANSACTIONS ON SIGNAL PROCESSING | - |
dc.citation.title | IEEE TRANSACTIONS ON SIGNAL PROCESSING | - |
dc.citation.volume | 65 | - |
dc.citation.number | 22 | - |
dc.citation.startPage | 6038 | - |
dc.citation.endPage | 6052 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Engineering | - |
dc.relation.journalWebOfScienceCategory | Engineering, Electrical & Electronic | - |
dc.subject.keywordPlus | MASSIVE MIMO | - |
dc.subject.keywordPlus | COMPLEXITY | - |
dc.subject.keywordPlus | MMSE | - |
dc.subject.keywordAuthor | Sparse signal recovery | - |
dc.subject.keywordAuthor | compressive sensing | - |
dc.subject.keywordAuthor | large-scale systems | - |
dc.subject.keywordAuthor | orthogonal matching pursuit | - |
dc.subject.keywordAuthor | sparse transformation | - |
dc.subject.keywordAuthor | linear minimum mean square error | - |
dc.subject.keywordAuthor | error correction | - |
dc.identifier.url | https://ieeexplore.ieee.org/document/8025598 | - |
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