Low-Power Channel-Adaptive Reconfigurable 4x4 QRM-MLD MIMO Detector
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kumiawan, Iput Heri | - |
dc.contributor.author | Yoon, Ji-Hwan | - |
dc.contributor.author | Kim, Jong-Kook | - |
dc.contributor.author | Park, Jongsun | - |
dc.date.accessioned | 2021-09-04T03:33:24Z | - |
dc.date.available | 2021-09-04T03:33:24Z | - |
dc.date.created | 2021-06-16 | - |
dc.date.issued | 2016-02 | - |
dc.identifier.issn | 1225-6463 | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/89699 | - |
dc.description.abstract | This paper presents a low-complexity channel-adaptive reconfigurable 4 x 4 QR-decomposition and M-algorithm based maximum likelihood detection (QRM-MLD) multiple-input and multiple-output (MIMO) detector. Two novel design approaches for low-power QRM-MLD hardware are proposed in this work. First, an approximate survivor metric (ASM) generation technique is presented to achieve considerable computational complexity reduction with minor BER degradation. A reconfigurable QRM-MLD MIMO detector (where the M-value represents the number of survival branches in a stage) for dynamically adapting to time-varying channels is also proposed in this work. The proposed reconfigurable QRM-MLD MIMO detector is implemented using a Samsung 65 mn CMOS process. The experimental results show that our ASM-based QRM-MLD MIMO detector shows a maximum throughput of 288 Mbps with a normalized power efficiency of 10.18 Mbps/mW in the case of 4 x 4 MIMO with 64-QAM. Under time-varying channel conditions, the proposed reconfigurable MIMO detector also achieves average power savings of up to 35% while maintaining a required BER performance. | - |
dc.language | English | - |
dc.language.iso | en | - |
dc.publisher | WILEY | - |
dc.subject | DESIGN | - |
dc.subject | IMPLEMENTATION | - |
dc.title | Low-Power Channel-Adaptive Reconfigurable 4x4 QRM-MLD MIMO Detector | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Kim, Jong-Kook | - |
dc.contributor.affiliatedAuthor | Park, Jongsun | - |
dc.identifier.doi | 10.4218/etrij.16.0115.0176 | - |
dc.identifier.scopusid | 2-s2.0-84964957785 | - |
dc.identifier.wosid | 000370211100011 | - |
dc.identifier.bibliographicCitation | ETRI JOURNAL, v.38, no.1, pp.100 - 111 | - |
dc.relation.isPartOf | ETRI JOURNAL | - |
dc.citation.title | ETRI JOURNAL | - |
dc.citation.volume | 38 | - |
dc.citation.number | 1 | - |
dc.citation.startPage | 100 | - |
dc.citation.endPage | 111 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.identifier.kciid | ART002076591 | - |
dc.description.journalClass | 1 | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.description.journalRegisteredClass | kci | - |
dc.relation.journalResearchArea | Engineering | - |
dc.relation.journalResearchArea | Telecommunications | - |
dc.relation.journalWebOfScienceCategory | Engineering, Electrical & Electronic | - |
dc.relation.journalWebOfScienceCategory | Telecommunications | - |
dc.subject.keywordPlus | DESIGN | - |
dc.subject.keywordPlus | IMPLEMENTATION | - |
dc.subject.keywordAuthor | MIMO detection | - |
dc.subject.keywordAuthor | QRM-MLD | - |
dc.subject.keywordAuthor | reconfigurable architecture | - |
dc.subject.keywordAuthor | maximum likelihood detection | - |
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