Publications

Detailed Information

Sparse Superimposed Coding for Short-Packet URLLC

DC Field Value Language
dc.contributor.authorZhang, Xuewan-
dc.contributor.authorZhang, Di-
dc.contributor.authorShim, Byonghyo-
dc.contributor.authorHan, Gangtao-
dc.contributor.authorZhang, Dalong-
dc.contributor.authorSato, Takuro-
dc.date.accessioned2022-06-22T11:24:29Z-
dc.date.available2022-06-22T11:24:29Z-
dc.date.created2022-05-20-
dc.date.issued2022-04-
dc.identifier.citationIEEE Internet of Things Journal, Vol.9 No.7, pp.5275-5289-
dc.identifier.issn2327-4662-
dc.identifier.urihttps://hdl.handle.net/10371/183201-
dc.description.abstract© 2014 IEEE.Sparse vector coding (SVC) is emerging as a key enabler for short-packet ultrareliable and low-latency communications (URLLCs), since it displays good block error rate (BLER) performance and can achieve low transmission latency. In this article, we propose an SVC-based sparse superimposed transmission (SVC-ST) coding scheme to further enhance the BLER performance of the SVC scheme. At the encoding side, a portion of transmission bits is represented by nonzero position indices of the sparse vector. The remaining bits are equally split into multiple streams and then mapped into the nonzero positions of sparse vector via quadrature amplitude modulation (QAM) with constellation rotation (CR). We afterward adopt the multipath matching pursuit-based soft decoding (MMP-SD) to recover the transmission packet. The BLER and bit error rate (BER) analyses of the SVC-ST scheme demonstrate the validity and rationality of our study. Moreover, we find from the simulation results that the proposed SVC-ST scheme outperforms SVC and its enhanced version (ESVC) schemes in terms of BLER and latency performance.-
dc.language영어-
dc.publisherInstitute of Electrical and Electronics Engineers Inc.-
dc.titleSparse Superimposed Coding for Short-Packet URLLC-
dc.typeArticle-
dc.identifier.doi10.1109/JIOT.2021.3108161-
dc.citation.journaltitleIEEE Internet of Things Journal-
dc.identifier.wosid000792931400043-
dc.identifier.scopusid2-s2.0-85113859428-
dc.citation.endpage5289-
dc.citation.number7-
dc.citation.startpage5275-
dc.citation.volume9-
dc.description.isOpenAccessN-
dc.contributor.affiliatedAuthorShim, Byonghyo-
dc.type.docTypeArticle-
dc.description.journalClass1-
Appears in Collections:
Files in This Item:
There are no files associated with this item.

Altmetrics

Item View & Download Count

  • mendeley

Items in S-Space are protected by copyright, with all rights reserved, unless otherwise indicated.

Share