Throughput Maximization for Cognitive Radio Networks Using Active Cooperation and Superposition Coding

Handle URI:
http://hdl.handle.net/10754/550512
Title:
Throughput Maximization for Cognitive Radio Networks Using Active Cooperation and Superposition Coding
Authors:
Hamza, Doha; Park, Ki-Hong; Alouini, Mohamed-Slim ( 0000-0003-4827-1793 ) ; Aissa, Sonia
Abstract:
We propose a three-message superposition coding scheme in a cognitive radio relay network exploiting active cooperation between primary and secondary users. The primary user is motivated to cooperate by substantial benefits it can reap from this access scenario. Specifically, the time resource is split into three transmission phases: The first two phases are dedicated to primary communication, while the third phase is for the secondary’s transmission. We formulate two throughput maximization problems for the secondary network subject to primary user rate constraints and per-node power constraints with respect to the time durations of primary transmission and the transmit power of the primary and the secondary users. The first throughput maximization problem assumes a partial power constraint such that the secondary power dedicated to primary cooperation, i.e. for the first two communication phases, is fixed apriori. In the second throughput maximization problem, a total power constraint is assumed over the three phases of communication. The two problems are difficult to solve analytically when the relaying channel gains are strictly greater than each other and strictly greater than the direct link channel gain. However, mathematically tractable lowerbound and upperbound solutions can be attained for the two problems. For both problems, by only using the lowerbound solution, we demonstrate significant throughput gains for both the primary and the secondary users through this active cooperation scheme. We find that most of the throughput gains come from minimizing the second phase transmission time since the secondary nodes assist the primary communication during this phase. Finally, we demonstrate the superiority of our proposed scheme compared to a number of reference schemes that include best relay selection, dual-hop routing, and an interference channel model.
KAUST Department:
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Citation:
Throughput Maximization for Cognitive Radio Networks Using Active Cooperation and Superposition Coding 2015:1 IEEE Transactions on Wireless Communications
Publisher:
IEEE
Journal:
IEEE Transactions on Wireless Communications
Issue Date:
13-Feb-2015
DOI:
10.1109/TWC.2015.2403852
Type:
Article
ISSN:
1536-1276
Additional Links:
http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=7042294
Appears in Collections:
Articles; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

Full metadata record

DC FieldValue Language
dc.contributor.authorHamza, Dohaen
dc.contributor.authorPark, Ki-Hongen
dc.contributor.authorAlouini, Mohamed-Slimen
dc.contributor.authorAissa, Soniaen
dc.date.accessioned2015-04-23T14:06:58Zen
dc.date.available2015-04-23T14:06:58Zen
dc.date.issued2015-02-13en
dc.identifier.citationThroughput Maximization for Cognitive Radio Networks Using Active Cooperation and Superposition Coding 2015:1 IEEE Transactions on Wireless Communicationsen
dc.identifier.issn1536-1276en
dc.identifier.doi10.1109/TWC.2015.2403852en
dc.identifier.urihttp://hdl.handle.net/10754/550512en
dc.description.abstractWe propose a three-message superposition coding scheme in a cognitive radio relay network exploiting active cooperation between primary and secondary users. The primary user is motivated to cooperate by substantial benefits it can reap from this access scenario. Specifically, the time resource is split into three transmission phases: The first two phases are dedicated to primary communication, while the third phase is for the secondary’s transmission. We formulate two throughput maximization problems for the secondary network subject to primary user rate constraints and per-node power constraints with respect to the time durations of primary transmission and the transmit power of the primary and the secondary users. The first throughput maximization problem assumes a partial power constraint such that the secondary power dedicated to primary cooperation, i.e. for the first two communication phases, is fixed apriori. In the second throughput maximization problem, a total power constraint is assumed over the three phases of communication. The two problems are difficult to solve analytically when the relaying channel gains are strictly greater than each other and strictly greater than the direct link channel gain. However, mathematically tractable lowerbound and upperbound solutions can be attained for the two problems. For both problems, by only using the lowerbound solution, we demonstrate significant throughput gains for both the primary and the secondary users through this active cooperation scheme. We find that most of the throughput gains come from minimizing the second phase transmission time since the secondary nodes assist the primary communication during this phase. Finally, we demonstrate the superiority of our proposed scheme compared to a number of reference schemes that include best relay selection, dual-hop routing, and an interference channel model.en
dc.publisherIEEEen
dc.relation.urlhttp://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=7042294en
dc.rights(c) 2015 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.subjectDecodingen
dc.subjectEncodingen
dc.subjectJointsen
dc.subjectOptimizationen
dc.subjectReceiversen
dc.subjectThroughputen
dc.subjectWireless communicationen
dc.titleThroughput Maximization for Cognitive Radio Networks Using Active Cooperation and Superposition Codingen
dc.typeArticleen
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Divisionen
dc.identifier.journalIEEE Transactions on Wireless Communicationsen
dc.eprint.versionPost-printen
dc.contributor.institutionInstitut National de la Recherche Scientifiq ue (INRS- EMT), University of Quebec, Montreal, QC, Canadaen
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