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http://dx.doi.org/10.12673/jant.2017.21.4.347

Channel Allocation Using Mobile Mobility and Neural Net Spectrum Hole Prediction in Cellular-Based Wireless Cognitive Radio Networks  

Lee, Jin-yi (Department of Electronic Engineering, Chungwoon University)
Publication Information
Journal of Advanced Navigation Technology / v.21, no.4, 2017 , pp. 347-352 More about this Journal
Abstract
In this paper, we propose a method that reduces mobile user's handover call dropping probability by using cognitive radio technology(CR) in cellular - based wireless cognitive radio networks. The proposed method predicts a cell to visit by Ziv-Lempel algorithm, and then supports mobile user with prediction of spectrum holes based on CR technology when allocated channels are short in the cell. We make neural network predict spectrum hole resources, and make handover calls use the resources before initial calls. Simulation results show CR technology has the capability to reduce mobile user handover call dropping probability in cellular mobile communication networks.
Keywords
CR technology; Ziv-Lempel algorithm; Mobility prediction; Neural net spectrum hole prediction; Handover dropping probability;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
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1 S. Verma and M. Chawla, "A survey on spectrum mobility in cognitive radio network," International Journal of Computer Applications, Vol. 119, No. 18, pp. 33-36, June 2015.   DOI
2 A. Garhwal and P. P. Bhattacharya,"A survey on dynamic spectrum access techniques for cognitive radio," International Journal of Next-Generation Networks, Vol. 3, No. 4, pp. 15-32, Dec. 2011.   DOI
3 G. Ghosh, P. Das, and S. Chatterjee, "Cognitive radio and dynamic access - a study," International Journal of Next-Generation Networks, Vol. 6, No. 1, pp. 43-60, March 2014.   DOI
4 S. Tekinay and B. Jabbari, "Handover and channel assignment in mobile cellular networks," IEEE Communications Magazine, pp. 42-46, Nov. 1991.
5 S. Tafazzoli and R. Berangi, "Cognitive radio handover in cellular networks," International Journal of Computer Science Issues, Vol. 11, Issue 2, No. 1, pp. 44-55, March 2014.
6 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.
7 J. Y. Lee, "A predictive connection admission control using neural networks for multiclass cognitive users radio networks," The Journal of Korea Navigation Institute, Vol. 17, No. 4, pp. 435-441, Aug. 2013.
8 J. Y. Lee, "Adaptive call admission control based on spectrum holes prediction in cognitive radio networks," The Journal of Korea Navigation Institute, Vol. 20, No. 5, pp. 440-445, Oct. 2016.
9 T. C. Bell. J. C. Cleary, and I. H. Witten. Text Compression. Prentice Hall, 1990.
10 F. Yu and V. C. M. Leung, "A framework of combining mobility management and connection admission control in wireless cellular networks," in The International of Communications Conference, Helsinki:Finland, Vol. 7, pp. 2286-2290, June 2001.