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http://dx.doi.org/10.12673/jant.2015.19.4.318

A Channel Allocation Scheme Based on Spectrum Hole Prediction in Cognitive Radio Wireless Networks  

Lee, Jin-yi (Department of Electronic Engineering, Chungwoon University)
Publication Information
Journal of Advanced Navigation Technology / v.19, no.4, 2015 , pp. 318-322 More about this Journal
Abstract
In wireless communication networks, most of the prediction techniques are used for predicting the amount of resource required by user's calls for improving their demanding quality of service. However, we propose a channel allocation scheme based on predicting the resources of white spectrum holes for improving the QoS of rental user's spectrum handoff calls for cognitive radio networks in this paper. This method is supported by Wiener predictor to predict the amount of white spectrum holes of license user's free spectrum resources. We classify rental user's calls into initial calls and spectrum handoff calls, and some portion of predicted spectrum-hole resources is reserved for spectrum handoff calls' priority allocation. Simulations show that the performance of the proposed scheme outperforms in spectrum handoff call's dropping rate than an existing method without spectrum hole prediction(11% average improvement in 50% reservation).
Keywords
Spectrum hole prediction; Channel allocation; Wiener predictor; Spectrum handoff call's dropping rate;
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Times Cited By KSCI : 2  (Citation Analysis)
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1 Federal Communications Commission, Spectrum policy task force report, FCC 02-155, Nov. 2002.
2 I. F. Akyildiz, W. Y. Lee, et al., "Next generation/dynamic spectrum access / cognitive radio wireless networks : a survey," Computer Networks, Vol. 50, pp. 2127-2159, 2006.   DOI
3 J. Y. Lee, "Channel reservation scheme using Wiener prediction theory for cognitive radio networks," The Journal of Korea Navigation Institute, Vol. 15, No. 5, pp. 757-763, Oct. 2011.
4 J. Y. Lee, "A call admission control using markovian queueing model for multi-services cognitive radio networks," The Journal of Korea Navigation Institute, Vol. 18, No. 4, pp.436-441, Aug. 2014.
5 X. Li, et al.,"Traffic pattern prediction and performance investigation for cognitive radio systems," in The Proceedings of Wireless Communications and Networking Conference 2008, Las Vegas: NV, pp.894-899, 2008.
6 Z. Wen, et al., "Autoregressive spectrum hole prediction model for cognitive radio systems," in The Proceedings of International Conference on Communications 2008, Beijing: China, pp.154-157, 2008.
7 W. Ahmed, et al., "Comments on "Analysis of cognitive radio spectrum access with optimal channel reservation," IEEE Transaction on Wireless Communication, Vol. 8, No. 9, pp. 4488-4491, Sept. 2009.   DOI   ScienceOn
8 X. Zhu, L. Shen, and T.-S.P. Yum, "Analysis of cognitive radio spectrum access with optimal channel reservation," IEEE Communication Letters, Vol. 11, No. 4, pp.304-306, Apr. 2007.   DOI   ScienceOn
9 T. Zhang, E. van den Berg, J. Chennikara, P. Agrawal, J. C. Chen, and T. Kodama, "Local predictive resource reservation for handoff in multimedia wireless IP networks," The Journal on Selected Areas Communications (JSAC), IEEE, Vol. 19, No. 10, pp. 1931-1941, Oct. 2001.   DOI