• KSII Transactions on Internet and Information Systems
    Monthly Online Journal (eISSN: 1976-7277)

Enhanced Channel Access Estimation based Adaptive Control of Distributed Cognitive Radio Networks

Vol. 10, No. 3, March 30, 2016
10.3837/tiis.2016.03.022, Download Paper (Free):

Abstract

Spectrum sharing in centrally controlled cognitive radio (CR) networks has been widely studied, however, research on channel access for distributively controlled individual cognitive users has not been fully characterized. This paper conducts an analysis of random channel access of cognitive users controlled in a distributed manner in a CR network. Based on the proposed estimation method, each cognitive user can estimate the current channel condition by using its own Markov-chain model and can compute its own blocking probability, collision probability, and forced termination probability. Using the proposed scheme, CR with distributed control (CR-DC), CR devices can make self-controlled decisions based on the status estimations to adaptively control its system parameters to communicate better.


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Cite this article

[IEEE Style]
J. Park and J. Chung, "Enhanced Channel Access Estimation based Adaptive Control of Distributed Cognitive Radio Networks," KSII Transactions on Internet and Information Systems, vol. 10, no. 3, pp. 1333-1343, 2016. DOI: 10.3837/tiis.2016.03.022.

[ACM Style]
Jong-Hong Park and Jong-Moon Chung. 2016. Enhanced Channel Access Estimation based Adaptive Control of Distributed Cognitive Radio Networks. KSII Transactions on Internet and Information Systems, 10, 3, (2016), 1333-1343. DOI: 10.3837/tiis.2016.03.022.

[BibTeX Style]
@article{tiis:21056, title="Enhanced Channel Access Estimation based Adaptive Control of Distributed Cognitive Radio Networks", author="Jong-Hong Park and Jong-Moon Chung and ", journal="KSII Transactions on Internet and Information Systems", DOI={10.3837/tiis.2016.03.022}, volume={10}, number={3}, year="2016", month={March}, pages={1333-1343}}