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


Sparse vector coding (SVC) is emerging as a key enabler for short packet ultra-reliable and low latency communications (URLLC), since it displays good block error rate (BLER) performance and can achieve low transmission latency. In this paper, we propose a SVC-based sparse superimposed transmission (SVC-ST) coding scheme to further enhance the BLER performance of SVC scheme. At the encoding side, a portion of transmission bits is represented by non-zero position indices of sparse vector. The remaining bits are equally split into multiple streams and then mapped into the non-zero positions of sparse vector via quadrature amplitude modulation (QAM) with constellation rotation (CR). We afterwards adopt the multipath matching pursuit-based soft decoding (MMP-SD) to recover the transmission packet. The BLER and bit error rate (BER) analysis of 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
JournalIEEE Internet of Things Journal
Publication statusAccepted/In press - 2021


  • Channel coding
  • Decoding
  • Parity check codes
  • Polar codes
  • Reliability
  • Static VAr compensators
  • Ultra reliable and low latency communications
  • Ultra reliable low latency communication
  • block error rate
  • multipath matching pursuit.
  • sparse superimposed coding
  • sparse vector coding

ASJC Scopus subject areas

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


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