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

Optimal Opportunistic Spectrum Access with Unknown and Heterogeneous Channel Dynamics in Cognitive Radio Networks


Abstract

We study the problem of optimal opportunistic spectrum access with unknown and heterogeneous channel dynamics in cognitive radio networks. There is neither statistic information about the licensed channels nor information exchange among secondary users in the respective systems. We formulate the problem of maximizing network throughput. To achieve the desired optimization, we propose a win-shift lose-stay algorithm based only on rewards. The key point of the algorithm is to make secondary users tend to shift to another channel after receiving rewards from the current channel. The optimality and the convergence of the proposed algorithm are proved. The simulation results show that for both heterogeneous and homogenous systems the proposed win-shift lose-stay algorithm has better performance in terms of throughput and fairness than an existing algorithm.


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Cite this article

[IEEE Style]
Y. Zhang, Y. Xu, Q. Wu, A. Anpalagan, "Optimal Opportunistic Spectrum Access with Unknown and Heterogeneous Channel Dynamics in Cognitive Radio Networks," KSII Transactions on Internet and Information Systems, vol. 8, no. 8, pp. 2675-2690, 2014. DOI: 10.3837/tiis.2014.08.006.

[ACM Style]
Yuli Zhang, Yuhua Xu, Qihui Wu, and Alagan Anpalagan. 2014. Optimal Opportunistic Spectrum Access with Unknown and Heterogeneous Channel Dynamics in Cognitive Radio Networks. KSII Transactions on Internet and Information Systems, 8, 8, (2014), 2675-2690. DOI: 10.3837/tiis.2014.08.006.

[BibTeX Style]
@article{tiis:20580, title="Optimal Opportunistic Spectrum Access with Unknown and Heterogeneous Channel Dynamics in Cognitive Radio Networks", author="Yuli Zhang and Yuhua Xu and Qihui Wu and Alagan Anpalagan and ", journal="KSII Transactions on Internet and Information Systems", DOI={10.3837/tiis.2014.08.006}, volume={8}, number={8}, year="2014", month={August}, pages={2675-2690}}