SINR balancing in the downlink of cognitive radio networks with imperfect channel knowledge

Handle URI:
http://hdl.handle.net/10754/564262
Title:
SINR balancing in the downlink of cognitive radio networks with imperfect channel knowledge
Authors:
Hanif, Muhammad Fainan; Smith, Peter J.; Alouini, Mohamed-Slim ( 0000-0003-4827-1793 )
Abstract:
In this paper we consider the problem of signal-to-interference-plus-noise ratio (SINR) balancing in the downlink of cognitive radio (CR) networks while simultaneously keeping interference levels at primary user (PU) receivers (RXs) below an acceptable threshold with uncertain channel state information available at the CR base-station (BS). We optimize the beamforming vectors at the CR BS so that the worst user SINR is maximized and transmit power constraints at the CR BS and interference constraints at the PU RXs are satisfied. With uncertainties in the channel bounded by a Euclidean ball, the semidefinite program (SDP) modeling the balancing problem is solved using the recently developed convex iteration technique without relaxing the rank constraints. Numerical simulations are conducted to show the effectiveness of the proposed technique in comparison to known approximations.
KAUST Department:
Electrical Engineering Program; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division; Communication Theory Lab
Publisher:
Institute for Computer Sciences, Social Informatics and Telecommunications Engineering (ICST)
Journal:
Proceedings of the 5th International ICST Conference on Cognitive Radio Oriented Wireless Networks and Communications
Conference/Event name:
2010 5th International Conference on Cognitive Radio Oriented Wireless Networks and Communications, CROWNCom 2010
Issue Date:
2010
DOI:
10.4108/ICST.CROWNCOM2010.9199
Type:
Conference Paper
ISBN:
9781424458868
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.authorHanif, Muhammad Fainanen
dc.contributor.authorSmith, Peter J.en
dc.contributor.authorAlouini, Mohamed-Slimen
dc.date.accessioned2015-08-04T06:21:09Zen
dc.date.available2015-08-04T06:21:09Zen
dc.date.issued2010en
dc.identifier.isbn9781424458868en
dc.identifier.doi10.4108/ICST.CROWNCOM2010.9199en
dc.identifier.urihttp://hdl.handle.net/10754/564262en
dc.description.abstractIn this paper we consider the problem of signal-to-interference-plus-noise ratio (SINR) balancing in the downlink of cognitive radio (CR) networks while simultaneously keeping interference levels at primary user (PU) receivers (RXs) below an acceptable threshold with uncertain channel state information available at the CR base-station (BS). We optimize the beamforming vectors at the CR BS so that the worst user SINR is maximized and transmit power constraints at the CR BS and interference constraints at the PU RXs are satisfied. With uncertainties in the channel bounded by a Euclidean ball, the semidefinite program (SDP) modeling the balancing problem is solved using the recently developed convex iteration technique without relaxing the rank constraints. Numerical simulations are conducted to show the effectiveness of the proposed technique in comparison to known approximations.en
dc.publisherInstitute for Computer Sciences, Social Informatics and Telecommunications Engineering (ICST)en
dc.titleSINR balancing in the downlink of cognitive radio networks with imperfect channel knowledgeen
dc.typeConference Paperen
dc.contributor.departmentElectrical Engineering Programen
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Divisionen
dc.contributor.departmentCommunication Theory Laben
dc.identifier.journalProceedings of the 5th International ICST Conference on Cognitive Radio Oriented Wireless Networks and Communicationsen
dc.conference.date9 June 2010 through 11 June 2010en
dc.conference.name2010 5th International Conference on Cognitive Radio Oriented Wireless Networks and Communications, CROWNCom 2010en
dc.conference.locationCannesen
dc.contributor.institutionDepartment of Electrical and Computer Engineering, University of Canterbury, Christchurch, New Zealanden
kaust.authorAlouini, Mohamed-Slimen
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