Paper Info
Title
Pilot-less Sparse Vector Coding for Short Packet Transmission
Abstract
A short packet transmission is one of the major operational modes for mission-critical data in ultra reliable and low latency communications (URLLCs) and control-type data in massive machine-type communications (mMTCs). The central challenge in the short packet transmission is the excessive amount of overhead caused by the pilot signaling. In this letter, we propose a novel transmission scheme that does not require the pilot signaling, called pilot-less sparse vector coding (PL-SVC). Key feature of PL-SVC is to map the input as a composite of the sparse vector and the fading channel and to perform decoding by finding out the nonzero positions of a sparse vector. In this setting, the system matrix becomes a pseudo-random spreading matrix and the input vector becomes a channel-scaled sparse vector so that the PL-SVC decoding problem can be cast into the support detection problem in the compressed sensing. We show from numerical experiments in the 5G uplink scenario that PL-SVC is very effective in the short packet transmission and outperforms conventional schemes.
Year
DOI
Venue
2019
10.1109/lwc.2019.2904685
IEEE Wireless Communications Letters
Keywords
Field
DocType
Decoding,Static VAr compensators,Sparse matrices,Receiving antennas,Matching pursuit algorithms,Reliability,Encoding
Fading,Computer network,Algorithm,Coding (social sciences),Decoding methods,Latency (engineering),Sparse matrix,Mathematics,Compressed sensing,Encoding (memory),Telecommunications link
Journal
Volume
Issue
ISSN
8
4
2162-2337
Citations 
PageRank 
References 
0
0.34
0
Authors
3
Name
Order
Citations
PageRank
Hyoungju Ji115314.66
Wonjun Kim230126.50
Byonghyo Shim393788.51