Location-based resource allocation for OFDMA cognitive radio systems

Handle URI:
http://hdl.handle.net/10754/564248
Title:
Location-based resource allocation for OFDMA cognitive radio systems
Authors:
Nam, Haewoon; Ben Ghorbel, Mahdi; Alouini, Mohamed-Slim ( 0000-0003-4827-1793 )
Abstract:
In cognitive radio systems, in order for the secondary users to opportunistically share the spectrum without interfering the primary users, an accurate spectrum measurement and a precise estimation of the interference at the primary users are necessary but are challenging tasks. Since it is impractical in cognitive radio systems to assume that the channel state information of the interference link is available at the cognitive transmitter, the interference at the primary users is hard to be estimated accurately. This paper introduces a resource allocation algorithm for OFDMA-based cognitive radio systems, which utilizes location information of the primary and secondary users instead of the channel state information of the interference link. Simulation results show that it is indeed effective to incorporate location information into resource allocation so that a near-optimal capacity is achieved.
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.CROWNCOM2010.9154
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.authorNam, Haewoonen
dc.contributor.authorBen Ghorbel, Mahdien
dc.contributor.authorAlouini, Mohamed-Slimen
dc.date.accessioned2015-08-04T06:20:38Zen
dc.date.available2015-08-04T06:20:38Zen
dc.date.issued2010en
dc.identifier.isbn9781424458868en
dc.identifier.doi10.4108/ICST.CROWNCOM2010.9154en
dc.identifier.urihttp://hdl.handle.net/10754/564248en
dc.description.abstractIn cognitive radio systems, in order for the secondary users to opportunistically share the spectrum without interfering the primary users, an accurate spectrum measurement and a precise estimation of the interference at the primary users are necessary but are challenging tasks. Since it is impractical in cognitive radio systems to assume that the channel state information of the interference link is available at the cognitive transmitter, the interference at the primary users is hard to be estimated accurately. This paper introduces a resource allocation algorithm for OFDMA-based cognitive radio systems, which utilizes location information of the primary and secondary users instead of the channel state information of the interference link. Simulation results show that it is indeed effective to incorporate location information into resource allocation so that a near-optimal capacity is achieved.en
dc.publisherInstitute for Computer Sciences, Social Informatics and Telecommunications Engineering (ICST)en
dc.subjectCognitive radios and resource allocationen
dc.titleLocation-based resource allocation for OFDMA cognitive radio systemsen
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.institutionMobile Devices Technology Office, Motorola Inc., Austin, TX, United Statesen
kaust.authorAlouini, Mohamed-Slimen
kaust.authorBen Ghorbel, Mahdien
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