Best relay selection using SNR and interference quotient for underlay cognitive networks

Handle URI:
http://hdl.handle.net/10754/564570
Title:
Best relay selection using SNR and interference quotient for underlay cognitive networks
Authors:
Hussain, Syed Imtiaz; Abdallah, Mohamed M.; Alouini, Mohamed-Slim ( 0000-0003-4827-1793 ) ; Hasna, Mazen Omar; Qaraqe, Khalid A.
Abstract:
Cognitive networks in underlay settings operate simultaneously with the primary networks satisfying stringent interference limits. This condition forces them to operate with low transmission powers and confines their area of coverage. In an effort to reach remote destinations, underlay cognitive sources make use of relaying techniques. Selecting the best relay among those who are ready to cooperate is different in underlay settings than traditional non-cognitive networks. In this paper, we present a relay selection scheme which uses the quotient of the relay link signal to noise ratio (SNR) and the interference generated from the relay to the primary user to choose the best relay. The proposed scheme optimizes this quotient in a way to maximize the relay link SNR above a certain value whereas the interference is kept below a defined threshold. We derive closed expressions for the outage probability and bit error probability of the system incorporating this scheme. Simulation results confirm the validity of the analytical results and reveal that the relay selection in cognitive environment is feasible in low SNR regions. © 2012 IEEE.
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:
2012 IEEE International Conference on Communications (ICC)
Conference/Event name:
2012 IEEE International Conference on Communications, ICC 2012
Issue Date:
Jun-2012
DOI:
10.1109/ICC.2012.6364463
Type:
Conference Paper
ISSN:
15503607
ISBN:
9781457720529
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.authorHussain, Syed Imtiazen
dc.contributor.authorAbdallah, Mohamed M.en
dc.contributor.authorAlouini, Mohamed-Slimen
dc.contributor.authorHasna, Mazen Omaren
dc.contributor.authorQaraqe, Khalid A.en
dc.date.accessioned2015-08-04T07:04:12Zen
dc.date.available2015-08-04T07:04:12Zen
dc.date.issued2012-06en
dc.identifier.isbn9781457720529en
dc.identifier.issn15503607en
dc.identifier.doi10.1109/ICC.2012.6364463en
dc.identifier.urihttp://hdl.handle.net/10754/564570en
dc.description.abstractCognitive networks in underlay settings operate simultaneously with the primary networks satisfying stringent interference limits. This condition forces them to operate with low transmission powers and confines their area of coverage. In an effort to reach remote destinations, underlay cognitive sources make use of relaying techniques. Selecting the best relay among those who are ready to cooperate is different in underlay settings than traditional non-cognitive networks. In this paper, we present a relay selection scheme which uses the quotient of the relay link signal to noise ratio (SNR) and the interference generated from the relay to the primary user to choose the best relay. The proposed scheme optimizes this quotient in a way to maximize the relay link SNR above a certain value whereas the interference is kept below a defined threshold. We derive closed expressions for the outage probability and bit error probability of the system incorporating this scheme. Simulation results confirm the validity of the analytical results and reveal that the relay selection in cognitive environment is feasible in low SNR regions. © 2012 IEEE.en
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en
dc.titleBest relay selection using SNR and interference quotient for underlay cognitive 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.journal2012 IEEE International Conference on Communications (ICC)en
dc.conference.date10 June 2012 through 15 June 2012en
dc.conference.name2012 IEEE International Conference on Communications, ICC 2012en
dc.conference.locationOttawa, ONen
dc.contributor.institutionTexas A and M University at Qatar, Doha, Qataren
dc.contributor.institutionQatar University, Doha, Qataren
kaust.authorAlouini, Mohamed-Slimen
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