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Performance Analysis of a Cognitive Radio Contention-Aware Channel Selection Algorithm
Tech Univ Catalonia, Signal Theory & Commun Dept, Barcelona 08034, Spain..
Open Univ Catalonia, Barcelona 08035, Spain..
Tech Univ Catalonia, Signal Theory & Commun Dept, Barcelona 08034, Spain..ORCID iD: 0000-0002-6608-0862
Telecommun Technol Ctr Catalonia, Castelldefels 08860, Spain..
2015 (English)In: IEEE Transactions on Vehicular Technology, ISSN 0018-9545, E-ISSN 1939-9359, Vol. 64, no 5, 1958-1972 p.Article in journal (Refereed) Published
Abstract [en]

In cognitive radio (CR) networks, due to the ever increasing traffic demands and the limited spectrum resources, it is very likely for several secondary networks (SNs) to coexist and opportunistically use the same primary user (PU) resources. In such scenarios, the ability to distinguish whether a licensed channel is occupied by a PU or by other SNs can significantly improve the spectrum efficiency of the network, while the contention among the SNs already operating on licensed channels with no PU activity may further affect its throughput and energy efficiency. Therefore, the proper selection of licensed channels could result in notable performance gains. In this paper, we propose a novel contention-aware channel selection algorithm, where the SN under study 1) detects the licensed channels with no PU activity by exploiting cooperative spectrum sensing, 2) estimates the probability of collision in each one, and 3) selects the less contended to access. We provide a detailed analytical model for the throughput and the energy efficiency of the SN, and we validate it by means of simulation. We also show the significant performance gains of our proposal in comparison with other relevant state-of-the-art algorithms.

Place, publisher, year, edition, pages
IEEE Press, 2015. Vol. 64, no 5, 1958-1972 p.
Keyword [en]
Carrier-sense multiple access (CSMA)/CA, cognitive radio (CR), cooperative spectrum sensing, feature detection, green communications, opportunistic spectrum access, spectrum overlay
National Category
Electrical Engineering, Electronic Engineering, Information Engineering Telecommunications
Research subject
Computer Science
Identifiers
URN: urn:nbn:se:kau:diva-45487DOI: 10.1109/TVT.2014.2341115ISI: 000354472800025OAI: oai:DiVA.org:kau-45487DiVA: diva2:956474
Available from: 2016-08-30 Created: 2016-08-30 Last updated: 2016-10-15Bibliographically approved

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Mesodiakaki, AgapiAlonso, Luis
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