Green Cooperative Spectrum Sensing and Scheduling in Heterogeneous Cognitive Radio Networks

Handle URI:
http://hdl.handle.net/10754/623840
Title:
Green Cooperative Spectrum Sensing and Scheduling in Heterogeneous Cognitive Radio Networks
Authors:
Celik, Abdulkadir ( 0000-0001-9007-9979 ) ; Kamal, Ahmed E.
Abstract:
In this paper, we consider heterogeneous cognitive radio networks (CRNs) comprising primary channels (PCs) with heterogeneous characteristics and secondary users (SUs) with various sensing and reporting qualities for different PCs. We first define the opportunity as the achievable total data rate and its cost as the energy consumption caused from sensing, reporting, and channel switching operations and formulate a joint spectrum discovery and energy efficiency objective to minimize the energy spent per unit of data rate. Then, a mixed integer nonlinear programming problem is formulated to determine: 1) the optimal subset of PCs to be scheduled for sensing; 2) the SU assignment set for each scheduled PC; and 3) sensing durations and detection thresholds of each SU on PCs it is assigned to sense. Thereafter, an equivalent convex framework is developed for specific instances of the above combinatorial problem. For comparison, optimal detection and sensing thresholds are also derived analytically under the homogeneity assumption. Based on these, a prioritized ordering heuristic is developed to order channels under the spectrum, energy, and spectrum-energy limited regimes. After that, a scheduling and assignment heuristic is proposed and is shown to perform very close to the exhaustive optimal solution. Finally, the behavior of the CRN is numerically analyzed under these regimes with respect to different numbers of SUs, PCs, and sensing qualities.
KAUST Department:
Communication Theory Lab
Citation:
Celik A, Kamal AE (2016) Green Cooperative Spectrum Sensing and Scheduling in Heterogeneous Cognitive Radio Networks. IEEE Transactions on Cognitive Communications and Networking 2: 238–248. Available: http://dx.doi.org/10.1109/tccn.2016.2608337.
Publisher:
Institute of Electrical and Electronics Engineers (IEEE)
Journal:
IEEE Transactions on Cognitive Communications and Networking
Issue Date:
12-Sep-2016
DOI:
10.1109/tccn.2016.2608337
Type:
Article
ISSN:
2332-7731
Additional Links:
http://ieeexplore.ieee.org/document/7564408/
Appears in Collections:
Articles; Communication Theory Lab

Full metadata record

DC FieldValue Language
dc.contributor.authorCelik, Abdulkadiren
dc.contributor.authorKamal, Ahmed E.en
dc.date.accessioned2017-05-31T11:23:09Z-
dc.date.available2017-05-31T11:23:09Z-
dc.date.issued2016-09-12en
dc.identifier.citationCelik A, Kamal AE (2016) Green Cooperative Spectrum Sensing and Scheduling in Heterogeneous Cognitive Radio Networks. IEEE Transactions on Cognitive Communications and Networking 2: 238–248. Available: http://dx.doi.org/10.1109/tccn.2016.2608337.en
dc.identifier.issn2332-7731en
dc.identifier.doi10.1109/tccn.2016.2608337en
dc.identifier.urihttp://hdl.handle.net/10754/623840-
dc.description.abstractIn this paper, we consider heterogeneous cognitive radio networks (CRNs) comprising primary channels (PCs) with heterogeneous characteristics and secondary users (SUs) with various sensing and reporting qualities for different PCs. We first define the opportunity as the achievable total data rate and its cost as the energy consumption caused from sensing, reporting, and channel switching operations and formulate a joint spectrum discovery and energy efficiency objective to minimize the energy spent per unit of data rate. Then, a mixed integer nonlinear programming problem is formulated to determine: 1) the optimal subset of PCs to be scheduled for sensing; 2) the SU assignment set for each scheduled PC; and 3) sensing durations and detection thresholds of each SU on PCs it is assigned to sense. Thereafter, an equivalent convex framework is developed for specific instances of the above combinatorial problem. For comparison, optimal detection and sensing thresholds are also derived analytically under the homogeneity assumption. Based on these, a prioritized ordering heuristic is developed to order channels under the spectrum, energy, and spectrum-energy limited regimes. After that, a scheduling and assignment heuristic is proposed and is shown to perform very close to the exhaustive optimal solution. Finally, the behavior of the CRN is numerically analyzed under these regimes with respect to different numbers of SUs, PCs, and sensing qualities.en
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en
dc.relation.urlhttp://ieeexplore.ieee.org/document/7564408/en
dc.subjectchannel switchingen
dc.subjectEnergy and throughput efficienten
dc.subjectcooperative spectrum sensingen
dc.subjectmulti-channel sensing schedulingen
dc.subjectPoisson-Binomialen
dc.titleGreen Cooperative Spectrum Sensing and Scheduling in Heterogeneous Cognitive Radio Networksen
dc.typeArticleen
dc.contributor.departmentCommunication Theory Laben
dc.identifier.journalIEEE Transactions on Cognitive Communications and Networkingen
dc.contributor.institutionDepartment of Electrical and Computer Engineering, Iowa State University, Ames, IA, USAen
kaust.authorCelik, Abdulkadiren
All Items in KAUST are protected by copyright, with all rights reserved, unless otherwise indicated.