Decentralized SINR Balancing in Cognitive Radio Networks

Handle URI:
http://hdl.handle.net/10754/615921
Title:
Decentralized SINR Balancing in Cognitive Radio Networks
Authors:
Dhifallah, Oussama Najeeb ( 0000-0002-8961-3553 ) ; Dahrouj, Hayssam; Al-Naffouri, Tarez; Alouini, Mohamed-Slim ( 0000-0003-4827-1793 )
Abstract:
This paper considers the downlink of a cognitive radio (CR) network formed by multiple primary and secondary transmitters, where each multi-antenna transmitter serves a pre-known set of single-antenna users. The paper assumes that the secondary and primary transmitters can transmit simultaneously their data over the same frequency bands, so as to achieve a high system spectrum efficiency. The paper considers the downlink balancing problem of maximizing the minimum signal-to-interference-plus noise ratio (SINR) of the secondary transmitters subject to both total power constraint of the secondary transmitters, and maximum interference constraint at each primary user due to secondary transmissions. The paper proposes solving the problem using the alternating direction method of multipliers (ADMM), which leads to a distributed implementation through limited information exchange across the coupled secondary transmitters. The paper additionally proposes a solution that guarantees feasibility at each iteration. Simulation results demonstrate that the proposed solution converges to the centralized solution in a reasonable number of iterations.
KAUST Department:
Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division; Electrical Engineering Program
Citation:
Decentralized SINR Balancing in Cognitive Radio Networks 2016:1 IEEE Transactions on Vehicular Technology
Publisher:
Institute of Electrical and Electronics Engineers (IEEE)
Journal:
IEEE Transactions on Vehicular Technology
Issue Date:
7-Jul-2016
DOI:
10.1109/TVT.2016.2587753
Type:
Article
ISSN:
0018-9545; 1939-9359
Sponsors:
Hayssam Dahrouj would like to thank Effat University in Jeddah, Saudi Arabia, for funding the research reported in this paper through the Research and Consultancy Institute.
Additional Links:
http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=7506062
Appears in Collections:
Articles

Full metadata record

DC FieldValue Language
dc.contributor.authorDhifallah, Oussama Najeeben
dc.contributor.authorDahrouj, Hayssamen
dc.contributor.authorAl-Naffouri, Tarezen
dc.contributor.authorAlouini, Mohamed-Slimen
dc.date.accessioned2016-07-11T09:28:36Z-
dc.date.available2016-07-11T09:28:36Z-
dc.date.issued2016-07-07-
dc.identifier.citationDecentralized SINR Balancing in Cognitive Radio Networks 2016:1 IEEE Transactions on Vehicular Technologyen
dc.identifier.issn0018-9545-
dc.identifier.issn1939-9359-
dc.identifier.doi10.1109/TVT.2016.2587753-
dc.identifier.urihttp://hdl.handle.net/10754/615921-
dc.description.abstractThis paper considers the downlink of a cognitive radio (CR) network formed by multiple primary and secondary transmitters, where each multi-antenna transmitter serves a pre-known set of single-antenna users. The paper assumes that the secondary and primary transmitters can transmit simultaneously their data over the same frequency bands, so as to achieve a high system spectrum efficiency. The paper considers the downlink balancing problem of maximizing the minimum signal-to-interference-plus noise ratio (SINR) of the secondary transmitters subject to both total power constraint of the secondary transmitters, and maximum interference constraint at each primary user due to secondary transmissions. The paper proposes solving the problem using the alternating direction method of multipliers (ADMM), which leads to a distributed implementation through limited information exchange across the coupled secondary transmitters. The paper additionally proposes a solution that guarantees feasibility at each iteration. Simulation results demonstrate that the proposed solution converges to the centralized solution in a reasonable number of iterations.en
dc.description.sponsorshipHayssam Dahrouj would like to thank Effat University in Jeddah, Saudi Arabia, for funding the research reported in this paper through the Research and Consultancy Institute.en
dc.language.isoenen
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en
dc.relation.urlhttp://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=7506062en
dc.rights(c) 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.en
dc.titleDecentralized SINR Balancing in Cognitive Radio Networksen
dc.typeArticleen
dc.contributor.departmentComputer, Electrical and Mathematical Science and Engineering (CEMSE) Divisionen
dc.contributor.departmentElectrical Engineering Programen
dc.identifier.journalIEEE Transactions on Vehicular Technologyen
dc.eprint.versionPost-printen
dc.contributor.institutionDepartment of Electrical and Computer Engineering, Effat University, Jeddah 22332, Saudi Arabiaen
dc.contributor.institutionKing Fahd University of Petroleum and Minerals, Dhahran 31261, Saudi Arabiaen
dc.contributor.affiliationKing Abdullah University of Science and Technology (KAUST)en
kaust.authorDhifallah, Oussama Najeeben
kaust.authorAl-Naffouri, Tareq Y.en
kaust.authorAlouini, Mohamed-Slimen
All Items in KAUST are protected by copyright, with all rights reserved, unless otherwise indicated.