Outage analysis of selective cooperation in underlay cognitive networks with fixed gain relays and primary interference modeling

Handle URI:
http://hdl.handle.net/10754/564602
Title:
Outage analysis of selective cooperation in underlay cognitive networks with fixed gain relays and primary interference modeling
Authors:
Hussain, Syed Imtiaz; Alouini, Mohamed-Slim ( 0000-0003-4827-1793 ) ; Qaraqe, Khalid A.; Hasna, Mazen Omar
Abstract:
Selective cooperation is a well investigated technique in non-cognitive networks for efficient spectrum utilization and performance improvement. However, it is still a nascent topic for underlay cognitive networks. Recently, it was investigated for underlay networks where the secondary nodes were able to adapt their transmit power to always satisfy the interference threshold to the primary users. This is a valid assumption for cellular networks but many non-cellular devices have fixed transmit powers. In this situation, selective cooperation poses a more challenging problem and performs entirely differently. In this paper, we extend our previous work of selective cooperation based on either hop's signal to noise ratio (SNR) with fixed gain and fixed transmit power relays in an underlay cognitive network. This work lacked in considering the primary interference over the cognitive network and presented a rather idealistic analysis. This paper deals with a more realistic system model and includes the effects of primary interference on the secondary transmission. We first derive end-to-end signal to interference and noise ratio (SINR) expression and the related statistics for a dual-hop relay link using asymptotic and approximate approaches. We then derive the statistics of the selected relay link based on maximum end-to-end SINR among the relays satisfying the interference threshold to the primary user. Using this statistics, we derive closed form asymptotic and approximate expressions for the outage probability of the system. Analytical results are verified through simulations. It is concluded that selective cooperation in underlay cognitive networks performs better only in low to medium 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 23rd International Symposium on Personal, Indoor and Mobile Radio Communications - (PIMRC)
Conference/Event name:
2012 IEEE 23rd International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2012
Issue Date:
Sep-2012
DOI:
10.1109/PIMRC.2012.6362529
Type:
Conference Paper
ISBN:
9781467325691
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.authorAlouini, Mohamed-Slimen
dc.contributor.authorQaraqe, Khalid A.en
dc.contributor.authorHasna, Mazen Omaren
dc.date.accessioned2015-08-04T07:04:54Zen
dc.date.available2015-08-04T07:04:54Zen
dc.date.issued2012-09en
dc.identifier.isbn9781467325691en
dc.identifier.doi10.1109/PIMRC.2012.6362529en
dc.identifier.urihttp://hdl.handle.net/10754/564602en
dc.description.abstractSelective cooperation is a well investigated technique in non-cognitive networks for efficient spectrum utilization and performance improvement. However, it is still a nascent topic for underlay cognitive networks. Recently, it was investigated for underlay networks where the secondary nodes were able to adapt their transmit power to always satisfy the interference threshold to the primary users. This is a valid assumption for cellular networks but many non-cellular devices have fixed transmit powers. In this situation, selective cooperation poses a more challenging problem and performs entirely differently. In this paper, we extend our previous work of selective cooperation based on either hop's signal to noise ratio (SNR) with fixed gain and fixed transmit power relays in an underlay cognitive network. This work lacked in considering the primary interference over the cognitive network and presented a rather idealistic analysis. This paper deals with a more realistic system model and includes the effects of primary interference on the secondary transmission. We first derive end-to-end signal to interference and noise ratio (SINR) expression and the related statistics for a dual-hop relay link using asymptotic and approximate approaches. We then derive the statistics of the selected relay link based on maximum end-to-end SINR among the relays satisfying the interference threshold to the primary user. Using this statistics, we derive closed form asymptotic and approximate expressions for the outage probability of the system. Analytical results are verified through simulations. It is concluded that selective cooperation in underlay cognitive networks performs better only in low to medium SNR regions. © 2012 IEEE.en
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en
dc.subjectcognitive radioen
dc.subjectoverlay networksen
dc.subjectrelay selection etcen
dc.subjectunderlay networksen
dc.subjectuser cooperationen
dc.titleOutage analysis of selective cooperation in underlay cognitive networks with fixed gain relays and primary interference modelingen
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 23rd International Symposium on Personal, Indoor and Mobile Radio Communications - (PIMRC)en
dc.conference.date9 September 2012 through 12 September 2012en
dc.conference.name2012 IEEE 23rd International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2012en
dc.conference.locationSydney, NSWen
dc.contributor.institutionTexas AandM University at Qatar, Doha, Qataren
dc.contributor.institutionQatar University, Doha, Qataren
kaust.authorAlouini, Mohamed-Slimen
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