TY - JOUR
T1 - Sparse Superimposed Coding for Short-Packet URLLC
AU - Zhang, Xuewan
AU - Zhang, Di
AU - Shim, Byonghyo
AU - Han, Gangtao
AU - Zhang, Dalong
AU - Sato, Takuro
N1 - Funding Information:
This work was supported in part by the National Science Foundation of China (NSFC) under Grant 62001423 and Grant 62101504; in part by the National Research Foundation of Korea (NRF) Grant funded by the Ministry of Science, ICT and Future Planning (MSIP) under Grant 2016R1A2B3015576 and Ministry of Science and ICT (MSIT) through Information Technology Research Center (ITRC) under Grant IITP-2019-2017-0-01637 supervised by the IITP; in part by the Ministry of Science and Technology of China (MOST) for talent scholar under Grant 20200226010;
Publisher Copyright:
© 2014 IEEE.
PY - 2022/4/1
Y1 - 2022/4/1
N2 - 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.
AB - 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.
KW - Block error rate (BLER)
KW - Multipath matching pursuit (MMP)
KW - Sparse superimposed coding
KW - Sparse vector coding (SVC)
KW - Ultrareliable and low-latency communications (URLLCs)
UR - http://www.scopus.com/inward/record.url?scp=85113859428&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85113859428&partnerID=8YFLogxK
U2 - 10.1109/JIOT.2021.3108161
DO - 10.1109/JIOT.2021.3108161
M3 - Article
AN - SCOPUS:85113859428
SN - 2327-4662
VL - 9
SP - 5275
EP - 5289
JO - IEEE Internet of Things Journal
JF - IEEE Internet of Things Journal
IS - 7
ER -