Distributed optimization of a multisubchannel Ad Hoc cognitive radio network

Handle URI:
http://hdl.handle.net/10754/562170
Title:
Distributed optimization of a multisubchannel Ad Hoc cognitive radio network
Authors:
Leith, Alex; Kim, Dongin; Alouini, Mohamed-Slim ( 0000-0003-4827-1793 ) ; Wu, Zhiqiang
Abstract:
In this paper, we study the distributed-duality-based optimization of a multisubchannel ad hoc cognitive radio network (CRN) that coexists with a multicell primary radio network (PRN). For radio resource allocation in multiuser orthogonal frequency-division multiplexing (MU-OFDM) systems, the orthogonal-access-based exclusive subchannel assignment (ESA) technique has been a popular method, but it is suboptimal in ad hoc networks, because nonorthogonal access between multiple secondary-user links by using shared subchannel assignment (SSA) can bring a higher weighted sum rate. We utilize the Lagrangian dual composition tool and design low-complexity near-optimal SSA resource allocation methods, assuming practical discrete-rate modulation and that the CRN-to-PRN interference constraint has to strictly be satisfied. However, available SSA methods for CRNs are either suboptimal or involve high complexity and suffer from slow convergence. To address this problem, we design fast-convergence SSA duality schemes and introduce several novel methods to increase the speed of convergence and to satisfy various system constraints with low complexity. For practical implementation in ad hoc CRNs, we design distributed-duality schemes that involve only a small number of CRN local information exchanges for dual update. The effects of many system parameters are presented through simulation results, which show that the near-optimal SSA duality scheme can perform significantly better than the suboptimal ESA duality and SSA-iterative waterfilling schemes and that the performance loss of the distributed schemes is small, compared with their centralized counterparts. © 2012 IEEE.
KAUST Department:
Electrical Engineering Program; Physical Sciences and Engineering (PSE) Division; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division; Communication Theory Lab
Publisher:
Institute of Electrical and Electronics Engineers (IEEE)
Journal:
IEEE Transactions on Vehicular Technology
Issue Date:
May-2012
DOI:
10.1109/TVT.2012.2189253
Type:
Article
ISSN:
00189545
Sponsors:
This work was supported in part by the Ministry of Knowledge Economy, Korea, through the Information Technology Research Center Support Program supervised by the National IT Promotion Agency (NIPA) under Grant NIPA-2012-(C1090-1211-0005), the Ministry of Education, Science and Technology of the Republic through the National Research Foundation of Korea under Grant 2011-0029329, and Qatar National Research Fund (a member of Qatar Foundation). This paper was presented in part at the IEEE International Global Communications Conference, December 2009 and 2010. The review of this paper was coordinated by Prof. W. A. Hamouda.
Appears in Collections:
Articles; Physical Sciences and Engineering (PSE) Division; Electrical Engineering Program; Communication Theory Lab; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

Full metadata record

DC FieldValue Language
dc.contributor.authorLeith, Alexen
dc.contributor.authorKim, Donginen
dc.contributor.authorAlouini, Mohamed-Slimen
dc.contributor.authorWu, Zhiqiangen
dc.date.accessioned2015-08-03T09:46:24Zen
dc.date.available2015-08-03T09:46:24Zen
dc.date.issued2012-05en
dc.identifier.issn00189545en
dc.identifier.doi10.1109/TVT.2012.2189253en
dc.identifier.urihttp://hdl.handle.net/10754/562170en
dc.description.abstractIn this paper, we study the distributed-duality-based optimization of a multisubchannel ad hoc cognitive radio network (CRN) that coexists with a multicell primary radio network (PRN). For radio resource allocation in multiuser orthogonal frequency-division multiplexing (MU-OFDM) systems, the orthogonal-access-based exclusive subchannel assignment (ESA) technique has been a popular method, but it is suboptimal in ad hoc networks, because nonorthogonal access between multiple secondary-user links by using shared subchannel assignment (SSA) can bring a higher weighted sum rate. We utilize the Lagrangian dual composition tool and design low-complexity near-optimal SSA resource allocation methods, assuming practical discrete-rate modulation and that the CRN-to-PRN interference constraint has to strictly be satisfied. However, available SSA methods for CRNs are either suboptimal or involve high complexity and suffer from slow convergence. To address this problem, we design fast-convergence SSA duality schemes and introduce several novel methods to increase the speed of convergence and to satisfy various system constraints with low complexity. For practical implementation in ad hoc CRNs, we design distributed-duality schemes that involve only a small number of CRN local information exchanges for dual update. The effects of many system parameters are presented through simulation results, which show that the near-optimal SSA duality scheme can perform significantly better than the suboptimal ESA duality and SSA-iterative waterfilling schemes and that the performance loss of the distributed schemes is small, compared with their centralized counterparts. © 2012 IEEE.en
dc.description.sponsorshipThis work was supported in part by the Ministry of Knowledge Economy, Korea, through the Information Technology Research Center Support Program supervised by the National IT Promotion Agency (NIPA) under Grant NIPA-2012-(C1090-1211-0005), the Ministry of Education, Science and Technology of the Republic through the National Research Foundation of Korea under Grant 2011-0029329, and Qatar National Research Fund (a member of Qatar Foundation). This paper was presented in part at the IEEE International Global Communications Conference, December 2009 and 2010. The review of this paper was coordinated by Prof. W. A. Hamouda.en
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en
dc.subjectCognitive radio (CR)en
dc.subjectdistributed accessen
dc.subjectinterference subchannel sharingen
dc.subjectLagrange duality optimizationen
dc.subjectmultisubchannel communicationen
dc.subjectpower spectral mask fittingen
dc.subjectweighted-sum-rate (WSR) maximizationen
dc.titleDistributed optimization of a multisubchannel Ad Hoc cognitive radio networken
dc.typeArticleen
dc.contributor.departmentElectrical Engineering Programen
dc.contributor.departmentPhysical Sciences and Engineering (PSE) Divisionen
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Divisionen
dc.contributor.departmentCommunication Theory Laben
dc.identifier.journalIEEE Transactions on Vehicular Technologyen
dc.contributor.institutionDepartment of Electrical and Computer Engineering, Iowa State University, Ames, IA 50011, United Statesen
dc.contributor.institutionSchool of Information and Communication Engineering, Sungkyunkwan University (SKKU), Suwon 440-746, South Koreaen
dc.contributor.institutionDepartment of Electrical Engineering, Wright State University, Dayton, OH 45435, United Statesen
kaust.authorAlouini, Mohamed-Slimen
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