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MAC Protocol for Opportunistic Spectrum Access in Multi-Channel Cognitive Relay Networks
Blekinge Institute of Technology, Faculty of Computing, Department of Creative Technologies.ORCID iD: 0000-0002-1730-9026
Blekinge Institute of Technology, Faculty of Computing, Department of Creative Technologies.ORCID iD: 0000-0003-3604-2766
Duy Tan University, VNM.
2017 (English)In: IEEE Vehicular Technology Conference, Institute of Electrical and Electronics Engineers Inc. , 2017Conference paper, Published paper (Refereed)
Abstract [en]

In this paper, we propose a medium access control (MAC) protocol for multi-channel cognitive cooperative radio networks (CCRNs). In this protocol, each secondary user (SU) senses for spectrum opportunities within M licensed bands of the primary users (PUs). To enhance the accuracy of spectrum sensing, we employ cooperative sequential spectrum sensing where SUs mutually exchange their sensing results. Moreover, the information obtained from cooperative spectrum sensing at the physical layer is integrated into the channel negotiation process at the MAC layer to alleviate the hidden terminal problem. Finally, the performance of the proposed MAC protocol in terms of aggregate throughput of the CCRNs is analyzed. Numerical results are provided to assess the impact of channel utilization by PUs, number of contenting CCRNs, number of licensed bands, and false alarm probability of SUs on the aggregate throughput. © 2017 IEEE.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers Inc. , 2017.
Series
IEEE Vehicular Technology Conference Proceedings
Keywords [en]
Access control, Aggregates, Cognitive radio, Internet protocols, Network layers, Aggregate throughput, Co-operative spectrum sensing, Cognitive relay networks, False alarm probability, Hidden terminal problems, Medium access control protocols, Negotiation process, Opportunistic spectrum access, Medium access control
National Category
Telecommunications
Identifiers
URN: urn:nbn:se:bth-15852DOI: 10.1109/VTCSpring.2017.8108220ISI: 000426875800040Scopus ID: 2-s2.0-85040548983ISBN: 9781509059324 (print)OAI: oai:DiVA.org:bth-15852DiVA, id: diva2:1179781
Conference
85th IEEE Vehicular Technology Conference, Sydney
Available from: 2018-02-02 Created: 2018-02-02 Last updated: 2021-07-02Bibliographically approved

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Chu, Thi My ChinhZepernick, Hans-Juergen

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CiteExportLink to record
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