Complexity Reduction of Ordered Statistics Decoding Using Side Information

Journal article 700 views

Saif E. A Alnawayseh, Pavel Loskot

IEEE Communications Letters, Volume: 16, Issue: 2, Pages: 249 - 251

Swansea University Author: Pavel Loskot

Full text not available from this repository: check for access using links below.

DOI (Published version): 10.1109/LCOMM.2011.121311.111997

Published in:	IEEE Communications Letters
ISSN:	1089-7798
Published:	2012
Online Access:	Check full text
URI:	https://cronfa.swan.ac.uk/Record/cronfa9141
Tags:	Add Tag No Tags, Be the first to tag this record!

Item Description:	This paper introduces a fundamentally new and practical method to tackle a long standing problem of excessive implementation complexity of the channel coding schemes that are used to protect transmitted information from the transmission errors. The proposed method can readily eliminate more than 90% of the implementation complexity whereas the overall performance is unaffected. Thus, the proposed method enables to use much more complex (i.e., much more powerful) channel codes without the concerns about the implementation complexity.The proposed method was inspired by the energy efficiency of communication systems investigated in MVCE/EPSRC funded project on Green Radio. This paper led to another conference paper published in Chinacom 2012 which earned the best paper award, and an invitation to the national Jordanian conference to give a keynote on Green Radio techniques.IF: 0.982
College:	Faculty of Science and Engineering
Issue:	2
Start Page:	249
End Page:	251