Joint pricing and resource allocation for OFDMA-based cognitive radio systems

Handle URI:
http://hdl.handle.net/10754/564369
Title:
Joint pricing and resource allocation for OFDMA-based cognitive radio systems
Authors:
Ben Ghorbel, Mahdi; Goldsmith, Andréa J.; Alouini, Mohamed-Slim ( 0000-0003-4827-1793 )
Abstract:
Cognitive users can share spectrum with primary users under constraints on the interference that results. We present a new pricing strategy for sharing the primary users' available subchannels with cognitive users by optimizing the secondary and primary users' utilities while meeting the primary users' interference constraints. The primary users aim to maximize their revenues by sharing their subchannels with secondary users while ensuring that they achieve a minimum target capacity. On the other hand, the secondary users aim to maximize their capacity under three different constraints: consumed power, a given budget for sharing subchannels, and tolerable interference caused to the primary users. We introduce a sequential procedure based on a distributed algorithm to determine the resource allocation, interference thresholds and prices that satisfy the requirements of both parties in the network. Simulations show that the users face a tradeoff between capacity, power, and price. © 2011 IEEE.
KAUST Department:
Electrical Engineering Program; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division; Communication Theory Lab
Publisher:
Institute of Electrical and Electronics Engineers (IEEE)
Journal:
2011 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)
Conference/Event name:
2011 IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2011
Issue Date:
Apr-2011
DOI:
10.1109/INFCOMW.2011.5928829
Type:
Conference Paper
ISBN:
9781457702488
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.authorBen Ghorbel, Mahdien
dc.contributor.authorGoldsmith, Andréa J.en
dc.contributor.authorAlouini, Mohamed-Slimen
dc.date.accessioned2015-08-04T06:25:12Zen
dc.date.available2015-08-04T06:25:12Zen
dc.date.issued2011-04en
dc.identifier.isbn9781457702488en
dc.identifier.doi10.1109/INFCOMW.2011.5928829en
dc.identifier.urihttp://hdl.handle.net/10754/564369en
dc.description.abstractCognitive users can share spectrum with primary users under constraints on the interference that results. We present a new pricing strategy for sharing the primary users' available subchannels with cognitive users by optimizing the secondary and primary users' utilities while meeting the primary users' interference constraints. The primary users aim to maximize their revenues by sharing their subchannels with secondary users while ensuring that they achieve a minimum target capacity. On the other hand, the secondary users aim to maximize their capacity under three different constraints: consumed power, a given budget for sharing subchannels, and tolerable interference caused to the primary users. We introduce a sequential procedure based on a distributed algorithm to determine the resource allocation, interference thresholds and prices that satisfy the requirements of both parties in the network. Simulations show that the users face a tradeoff between capacity, power, and price. © 2011 IEEE.en
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en
dc.titleJoint pricing and resource allocation for OFDMA-based 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.journal2011 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)en
dc.conference.date10 April 2011 through 15 April 2011en
dc.conference.name2011 IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2011en
dc.conference.locationShanghaien
dc.contributor.institutionElectrical Engineering Department, Stanford University, Palo Alto, CA, United Statesen
kaust.authorBen Ghorbel, Mahdien
kaust.authorAlouini, Mohamed-Slimen
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