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Sparse Superimposed Coding for Short-Packet URLLC

delete2022-04-01
delete14
PRE
AI
X
Xuewan Zhang
张迪 cover
张迪 (Di Zhang) *
B
Byonghyo Shim
韩刚涛 cover
韩刚涛 (Gangtao Han)
D
Dalong Zhang
T
Takuro Sato
DOI:10.1109/JIOT.2021.3108161delete
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Abstract

Abstract

En 中文
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.
Keywords:
Static VAr compensators
Reliability
Decoding
Channel coding
Ultra reliable low latency communication
Polar codes
Parity check codes
Block error rate (BLER)
multipath matching pursuit (MMP)
sparse superimposed coding
sparse vector coding (SVC)
ultrareliable and low-latency communications (URLLCs)

Journal

IEEE Internet of Things Journal cover
IEEE Internet of Things Journal
IF:
8.9
Papers:
1.4W
Citations:
7.8W

Organization

W
Waseda University
Scholars:
10.0K
Papers: 8.6K
Citations: 8.3K
Z
Zhengzhou University
Scholars:
6.8W
Papers: 4.4W
Citations: 8.5W
S
seoul national university (snu)
Scholars:
7.1W
Papers: 6.6W
Citations: 86
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