Equal gain combining for cooperative spectrum sensing in cognitive radio networks

Handle URI:
http://hdl.handle.net/10754/563686
Title:
Equal gain combining for cooperative spectrum sensing in cognitive radio networks
Authors:
Hamza, Doha R.; Aïssa, Sonia; Aniba, Ghassane
Abstract:
Sensing with equal gain combining (SEGC), a novel cooperative spectrum sensing technique for cognitive radio networks, is proposed. Cognitive radios simultaneously transmit their sensing results to the fusion center (FC) over multipath fading reporting channels. The cognitive radios estimate the phases of the reporting channels and use those estimates for coherent combining of the sensing results at the FC. A global decision is made at the FC by comparing the received signal with a threshold. We obtain the global detection probabilities and secondary throughput exactly through a moment generating function approach. We verify our solution via system simulation and demonstrate that the Chernoff bound and central limit theory approximation are not tight. The cases of hard sensing and soft sensing are considered and we provide examples in which hard sensing is advantageous to soft sensing. We contrast the performance of SEGC with maximum ratio combining of the sensors' results and provide examples where the former is superior. Furthermore, we evaluate the performance of SEGC against existing orthogonal reporting techniques such as time division multiple access (TDMA). SEGC performance always dominates that of TDMA in terms of secondary throughput. We also study the impact of phase and synchronization errors and demonstrate the robustness of the SEGC technique against such imperfections. © 2002-2012 IEEE.
KAUST Department:
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division; Electrical Engineering Program
Publisher:
Institute of Electrical and Electronics Engineers (IEEE)
Journal:
IEEE Transactions on Wireless Communications
Issue Date:
Aug-2014
DOI:
10.1109/TWC.2014.2317788
Type:
Article
ISSN:
15361276
Appears in Collections:
Articles; Electrical Engineering Program; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

Full metadata record

DC FieldValue Language
dc.contributor.authorHamza, Doha R.en
dc.contributor.authorAïssa, Soniaen
dc.contributor.authorAniba, Ghassaneen
dc.date.accessioned2015-08-03T12:06:20Zen
dc.date.available2015-08-03T12:06:20Zen
dc.date.issued2014-08en
dc.identifier.issn15361276en
dc.identifier.doi10.1109/TWC.2014.2317788en
dc.identifier.urihttp://hdl.handle.net/10754/563686en
dc.description.abstractSensing with equal gain combining (SEGC), a novel cooperative spectrum sensing technique for cognitive radio networks, is proposed. Cognitive radios simultaneously transmit their sensing results to the fusion center (FC) over multipath fading reporting channels. The cognitive radios estimate the phases of the reporting channels and use those estimates for coherent combining of the sensing results at the FC. A global decision is made at the FC by comparing the received signal with a threshold. We obtain the global detection probabilities and secondary throughput exactly through a moment generating function approach. We verify our solution via system simulation and demonstrate that the Chernoff bound and central limit theory approximation are not tight. The cases of hard sensing and soft sensing are considered and we provide examples in which hard sensing is advantageous to soft sensing. We contrast the performance of SEGC with maximum ratio combining of the sensors' results and provide examples where the former is superior. Furthermore, we evaluate the performance of SEGC against existing orthogonal reporting techniques such as time division multiple access (TDMA). SEGC performance always dominates that of TDMA in terms of secondary throughput. We also study the impact of phase and synchronization errors and demonstrate the robustness of the SEGC technique against such imperfections. © 2002-2012 IEEE.en
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en
dc.subjectCognitive radio networksen
dc.subjectEqual gain combiningen
dc.subjectHard sensingen
dc.subjectMaximum ratio combiningen
dc.subjectSoft sensingen
dc.titleEqual gain combining for cooperative spectrum sensing in cognitive radio networksen
dc.typeArticleen
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Divisionen
dc.contributor.departmentElectrical Engineering Programen
dc.identifier.journalIEEE Transactions on Wireless Communicationsen
dc.contributor.institutionUniv Quebec, INRS, Montreal, PQ H5A 1K6, Canadaen
dc.contributor.institutionUniv Mohammed V Agdal UM5A, EMI, Rabat 10000, Moroccoen
kaust.authorHamza, Doha R.en
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