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Distributed spectrum leasing via vertical cooperation in spectrum sharing networks
KTH, School of Electrical Engineering (EES), Automatic Control.
KTH, School of Electrical Engineering (EES), Communication Networks.
KTH, School of Electrical Engineering (EES), Automatic Control.ORCID iD: 0000-0001-9810-3478
KTH, School of Electrical Engineering (EES), Communication Networks.ORCID iD: 0000-0002-2764-8099
2015 (English)In: Cognitive Radio Oriented Wireless Networks and Communications (CROWNCOM), 2014 9th International Conference on, IEEE conference proceedings, 2015, 185-190 p.Conference paper, Published paper (Refereed)
Abstract [en]

In hierarchical cognitive radio networks, unlicensedsecondary users can increase their achievable rates by assistinglicensed primary user transmissions via cooperation. In thispaper, a novel approach to maximize the transmission rates inthe secondary network by optimizing the relay selection, thesecondary transmit powers, and the cooperative relaying powersplitting parameters is proposed. The resulting optimizationproblem is mixed integer and non-convex, which makes it NPhard to find the optimal solutions. Therefore, centralized anddistributed solution methods to find near-to-optimal solutions ofthis challenging problem are proposed. The methods are basedon iteratively solving the secondary relay selection by a greedyapproach, and the optimal power allocation problem by a fixed-point approach together with alternating direction method ofmultipliers. It is established that both centralized and distributedsolution methods always converge. The numerical results illus-trate the performance of the proposed solution methods, andshow that they give a near-to-optimal solution. Moreover, theperformance margins of the primary transmitters that permitthe accommodation of relaying secondary users, still having highachievable transmit rates, are characterized.

Place, publisher, year, edition, pages
IEEE conference proceedings, 2015. 185-190 p.
Keyword [en]
Cognitive radio network, cooperative transmis- sion, distributed optimization
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:kth:diva-150442OAI: oai:DiVA.org:kth-150442DiVA: diva2:743417
Conference
Cognitive Radio Oriented Wireless Networks and Communications (CROWNCOM), 2014 9th International Conference on,2-4 June 2014, Oulu
Note

QC 20160105

Available from: 2014-09-04 Created: 2014-09-04 Last updated: 2016-01-05Bibliographically approved

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CiteExportLink to record
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