A genetic algorithm for multiple relay selection in two-way relaying cognitive radio networks

Handle URI:
http://hdl.handle.net/10754/564796
Title:
A genetic algorithm for multiple relay selection in two-way relaying cognitive radio networks
Authors:
Alsharoa, Ahmad M.; Ghazzai, Hakim ( 0000-0002-8636-4264 ) ; Alouini, Mohamed-Slim ( 0000-0003-4827-1793 )
Abstract:
In this paper, we investigate a multiple relay selection scheme for two-way relaying cognitive radio networks where primary users and secondary users operate on the same frequency band. More specifically, cooperative relays using Amplifyand- Forward (AF) protocol are optimally selected to maximize the sum rate of the secondary users without degrading the Quality of Service (QoS) of the primary users by respecting a tolerated interference threshold. A strong optimization tool based on genetic algorithm is employed to solve our formulated optimization problem where discrete relay power levels are considered. Our simulation results show that the practical heuristic approach achieves almost the same performance of the optimal multiple relay selection scheme either with discrete or continuous power distributions. Copyright © 2013 by the Institute of Electrical and Electronic Engineers, Inc.
KAUST Department:
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division; Electrical Engineering Program; Communication Theory Lab
Publisher:
Institute of Electrical and Electronics Engineers (IEEE)
Journal:
2013 IEEE 78th Vehicular Technology Conference (VTC Fall)
Conference/Event name:
2013 IEEE 78th Vehicular Technology Conference, VTC Fall 2013
Issue Date:
Sep-2013
DOI:
10.1109/VTCFall.2013.6692036
Type:
Conference Paper
ISSN:
15502252
ISBN:
9781467361873
Appears in Collections:
Conference Papers; Electrical Engineering Program; Communication Theory Lab; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

Full metadata record

DC FieldValue Language
dc.contributor.authorAlsharoa, Ahmad M.en
dc.contributor.authorGhazzai, Hakimen
dc.contributor.authorAlouini, Mohamed-Slimen
dc.date.accessioned2015-08-04T07:16:14Zen
dc.date.available2015-08-04T07:16:14Zen
dc.date.issued2013-09en
dc.identifier.isbn9781467361873en
dc.identifier.issn15502252en
dc.identifier.doi10.1109/VTCFall.2013.6692036en
dc.identifier.urihttp://hdl.handle.net/10754/564796en
dc.description.abstractIn this paper, we investigate a multiple relay selection scheme for two-way relaying cognitive radio networks where primary users and secondary users operate on the same frequency band. More specifically, cooperative relays using Amplifyand- Forward (AF) protocol are optimally selected to maximize the sum rate of the secondary users without degrading the Quality of Service (QoS) of the primary users by respecting a tolerated interference threshold. A strong optimization tool based on genetic algorithm is employed to solve our formulated optimization problem where discrete relay power levels are considered. Our simulation results show that the practical heuristic approach achieves almost the same performance of the optimal multiple relay selection scheme either with discrete or continuous power distributions. Copyright © 2013 by the Institute of Electrical and Electronic Engineers, Inc.en
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en
dc.subjectCooperative cognitive radio networken
dc.subjectGenetic algorithmen
dc.subjectTwo-way relayingen
dc.titleA genetic algorithm for multiple relay selection in two-way relaying cognitive radio networksen
dc.typeConference Paperen
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Divisionen
dc.contributor.departmentElectrical Engineering Programen
dc.contributor.departmentCommunication Theory Laben
dc.identifier.journal2013 IEEE 78th Vehicular Technology Conference (VTC Fall)en
dc.conference.date2 September 2013 through 5 September 2013en
dc.conference.name2013 IEEE 78th Vehicular Technology Conference, VTC Fall 2013en
dc.conference.locationLas Vegas, NVen
kaust.authorAlsharoa, Ahmad M.en
kaust.authorGhazzai, Hakimen
kaust.authorAlouini, Mohamed-Slimen
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