No Cover Image

Journal article 700 views

Complexity Reduction of Ordered Statistics Decoding Using Side Information

Saif E. A Alnawayseh, Pavel Loskot Orcid Logo

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

Swansea University Author: Pavel Loskot Orcid Logo

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

Check full text

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!
first_indexed 2013-07-23T12:01:40Z
last_indexed 2018-02-09T04:37:54Z
id cronfa9141
recordtype SURis
fullrecord <?xml version="1.0"?><rfc1807><datestamp>2016-08-17T13:21:40.0051237</datestamp><bib-version>v2</bib-version><id>9141</id><entry>2013-09-03</entry><title>Complexity Reduction of Ordered Statistics Decoding Using Side Information</title><swanseaauthors><author><sid>bc7cba9ef306864239b9348c3aea4c3e</sid><ORCID>0000-0002-2773-2186</ORCID><firstname>Pavel</firstname><surname>Loskot</surname><name>Pavel Loskot</name><active>true</active><ethesisStudent>false</ethesisStudent></author></swanseaauthors><date>2013-09-03</date><deptcode>EEN</deptcode><abstract></abstract><type>Journal Article</type><journal>IEEE Communications Letters</journal><volume>16</volume><journalNumber>2</journalNumber><paginationStart>249</paginationStart><paginationEnd>251</paginationEnd><publisher/><issnPrint>1089-7798</issnPrint><keywords/><publishedDay>31</publishedDay><publishedMonth>12</publishedMonth><publishedYear>2012</publishedYear><publishedDate>2012-12-31</publishedDate><doi>10.1109/LCOMM.2011.121311.111997</doi><url/><notes>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</notes><college>COLLEGE NANME</college><department>Engineering</department><CollegeCode>COLLEGE CODE</CollegeCode><DepartmentCode>EEN</DepartmentCode><institution>Swansea University</institution><apcterm/><lastEdited>2016-08-17T13:21:40.0051237</lastEdited><Created>2013-09-03T06:29:57.0000000</Created><path><level id="1">Faculty of Science and Engineering</level><level id="2">School of Engineering and Applied Sciences - Uncategorised</level></path><authors><author><firstname>Saif E. A</firstname><surname>Alnawayseh</surname><order>1</order></author><author><firstname>Pavel</firstname><surname>Loskot</surname><orcid>0000-0002-2773-2186</orcid><order>2</order></author></authors><documents/><OutputDurs/></rfc1807>
spelling 2016-08-17T13:21:40.0051237 v2 9141 2013-09-03 Complexity Reduction of Ordered Statistics Decoding Using Side Information bc7cba9ef306864239b9348c3aea4c3e 0000-0002-2773-2186 Pavel Loskot Pavel Loskot true false 2013-09-03 EEN Journal Article IEEE Communications Letters 16 2 249 251 1089-7798 31 12 2012 2012-12-31 10.1109/LCOMM.2011.121311.111997 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 NANME Engineering COLLEGE CODE EEN Swansea University 2016-08-17T13:21:40.0051237 2013-09-03T06:29:57.0000000 Faculty of Science and Engineering School of Engineering and Applied Sciences - Uncategorised Saif E. A Alnawayseh 1 Pavel Loskot 0000-0002-2773-2186 2
title Complexity Reduction of Ordered Statistics Decoding Using Side Information
spellingShingle Complexity Reduction of Ordered Statistics Decoding Using Side Information
Pavel Loskot
title_short Complexity Reduction of Ordered Statistics Decoding Using Side Information
title_full Complexity Reduction of Ordered Statistics Decoding Using Side Information
title_fullStr Complexity Reduction of Ordered Statistics Decoding Using Side Information
title_full_unstemmed Complexity Reduction of Ordered Statistics Decoding Using Side Information
title_sort Complexity Reduction of Ordered Statistics Decoding Using Side Information
author_id_str_mv bc7cba9ef306864239b9348c3aea4c3e
author_id_fullname_str_mv bc7cba9ef306864239b9348c3aea4c3e_***_Pavel Loskot
author Pavel Loskot
author2 Saif E. A Alnawayseh
Pavel Loskot
format Journal article
container_title IEEE Communications Letters
container_volume 16
container_issue 2
container_start_page 249
publishDate 2012
institution Swansea University
issn 1089-7798
doi_str_mv 10.1109/LCOMM.2011.121311.111997
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Engineering and Applied Sciences - Uncategorised{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Engineering and Applied Sciences - Uncategorised
document_store_str 0
active_str 0
published_date 2012-12-31T03:11:01Z
_version_ 1763749985435779072
score 11.036116

Similar Items