DC Field | Value | Language |
---|---|---|
dc.contributor.author | SEUNGWOO, HONG | - |
dc.contributor.author | KAM, DONG YUN | - |
dc.contributor.author | YUN, SANGBU | - |
dc.contributor.author | JEONGWON, CHOE | - |
dc.contributor.author | LEE, NAMYOON | - |
dc.contributor.author | LEE, YOUNGJOO | - |
dc.date.accessioned | 2022-03-03T08:40:32Z | - |
dc.date.available | 2022-03-03T08:40:32Z | - |
dc.date.created | 2022-03-03 | - |
dc.date.issued | 2022-04 | - |
dc.identifier.issn | 1549-8328 | - |
dc.identifier.uri | https://oasis.postech.ac.kr/handle/2014.oak/110308 | - |
dc.description.abstract | The compressive sensing (CS) based sparse vector coding (SVC) method is one of the promising ways for the next-generation ultra-reliable and low-latency communications. In this paper, we present advanced algorithm-hardware co-optimization schemes for realizing a cost-effective SVC decoding architecture. The previous maximum a posteriori subspace pursuit (MAP-SP) algorithm is newly modified to relax the computational overheads by applying novel residual forwarding and LLR approximation schemes. A fully-pipelined parallel hardware is also developed to support the modified decoding algorithm, reducing the overall processing latency, especially at the support identification step. In addition, an advanced least-square-problem solver is presented by utilizing the parallel Cholesky decomposer design, further reducing the decoding latency with parallel updates of support values. The implementation results from a 22nm FinFET technology showed that the fully-optimized design is 9.6 times faster while improving the area efficiency by 12 times compared to the baseline realization. | - |
dc.language | English | - |
dc.publisher | Institute of Electrical and Electronics Engineers | - |
dc.relation.isPartOf | IEEE Transactions on Circuits and Systems I: Regular Papers | - |
dc.title | Low-complexity and low-latency SVC decoding architecture using modified MAP-SP algorithm | - |
dc.type | Article | - |
dc.identifier.doi | 10.1109/TCSI.2021.3136222 | - |
dc.type.rims | ART | - |
dc.identifier.bibliographicCitation | IEEE Transactions on Circuits and Systems I: Regular Papers, v.69, no.4, pp.1774 - 1787 | - |
dc.identifier.wosid | 000736863600001 | - |
dc.citation.endPage | 1787 | - |
dc.citation.number | 4 | - |
dc.citation.startPage | 1774 | - |
dc.citation.title | IEEE Transactions on Circuits and Systems I: Regular Papers | - |
dc.citation.volume | 69 | - |
dc.contributor.affiliatedAuthor | SEUNGWOO, HONG | - |
dc.contributor.affiliatedAuthor | KAM, DONG YUN | - |
dc.contributor.affiliatedAuthor | YUN, SANGBU | - |
dc.contributor.affiliatedAuthor | JEONGWON, CHOE | - |
dc.contributor.affiliatedAuthor | LEE, NAMYOON | - |
dc.contributor.affiliatedAuthor | LEE, YOUNGJOO | - |
dc.identifier.scopusid | 2-s2.0-85122289215 | - |
dc.description.journalClass | 1 | - |
dc.description.journalClass | 1 | - |
dc.description.isOpenAccess | N | - |
dc.type.docType | Article | - |
dc.subject.keywordPlus | ORTHOGONAL MATCHING PURSUIT | - |
dc.subject.keywordPlus | SIGNAL RECOVERY | - |
dc.subject.keywordPlus | IOT APPLICATIONS | - |
dc.subject.keywordPlus | SPARSE RECOVERY | - |
dc.subject.keywordPlus | IMPLEMENTATION | - |
dc.subject.keywordPlus | DESIGN | - |
dc.subject.keywordPlus | OMP | - |
dc.subject.keywordAuthor | Static VAr compensators | - |
dc.subject.keywordAuthor | Decoding | - |
dc.subject.keywordAuthor | Computer architecture | - |
dc.subject.keywordAuthor | Reconstruction algorithms | - |
dc.subject.keywordAuthor | Matching pursuit algorithms | - |
dc.subject.keywordAuthor | Encoding | - |
dc.subject.keywordAuthor | Ultra reliable low latency communication | - |
dc.subject.keywordAuthor | Compressive sensing | - |
dc.subject.keywordAuthor | subspace pursuit | - |
dc.subject.keywordAuthor | parallel architecture | - |
dc.subject.keywordAuthor | ultra reliable and low latency communications | - |
dc.relation.journalWebOfScienceCategory | Engineering, Electrical & Electronic | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Engineering | - |
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