Sparse Superimposed Coding for Short-Packet URLLC

Xuewan Zhang, Di Zhang, Byonghyo Shim, Gangtao Han, Dalong Zhang, Takuro Sato

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)5275-5289
Number of pages15
JournalIEEE Internet of Things Journal
Volume9
Issue number7
DOIs
Publication statusPublished - 2022 Apr 1

Keywords

  • Block error rate (BLER)
  • Multipath matching pursuit (MMP)
  • Sparse superimposed coding
  • Sparse vector coding (SVC)
  • Ultrareliable and low-latency communications (URLLCs)

ASJC Scopus subject areas

  • Signal Processing
  • Information Systems
  • Hardware and Architecture
  • Computer Science Applications
  • Computer Networks and Communications

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