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http://dx.doi.org/10.12673/jant.2014.18.4.347

A Call Admission Control Using Markovian Queueing Model for Multi-services Cognitive Radio Networks  

Lee, Jin-Yi (Department of Electronic Engineering, Chungwoon University)
Publication Information
Journal of Advanced Navigation Technology / v.18, no.4, 2014 , pp. 347-352 More about this Journal
Abstract
In this paper, we propose a Markovian queueing model(M/M/1)-based call admission control to reduce forced terminating rate of non-real secondary user's call for Multi-services Cognitive Radio Networks. A existing control has a problem that the forced terminating rate increases because of adopting a policy of spectrum priority allocation to real calls. In our scheme the rate can be reduced as the call that has no useful spectrum waits in a queue until getting an available spectrum. Our scheme use a neural-net based prediction of primary user's reappearance. Through the simulation, we analysis the call forced terminating rate, access delay and spectrum utilization efficiency, and then show that our scheme can more reduce the forced terminating rate of the call, compared to that of the existing algorithm.
Keywords
M/M/1 queueing model; Multi-services CR networks; Call forced terminating rate; Call admission control; Neural-net based prediction;
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Times Cited By KSCI : 1  (Citation Analysis)
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1 C. Cordeiro, et al., "IEEE 802.22 : The first worldwide wireless standard based on cognitive radios," in The Dynamic Spectrum Access Networks Conference 2005, Baltimore : MD , pp. 328-337, Nov. 2005.
2 J. Mitola III and G. Q. Maguire Jr.,"Cognitive radio: making software radios more personal," IEEE Personal Communications, Vol. 6, No. 4, pp.13-18, Aug. 1999.   DOI   ScienceOn
3 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   ScienceOn
4 H. Harada, et al., "White space communication enabled by IEEE standard1900.4," Available:https://mentor.ieee.org/802-sg-whitespace, Feb., 2009.
5 Haythem A. Bany Salameh, et al., "MAC protocol for opportunistic cognitive radio networks with soft guarantees," IEEE Transaction on Mobile Computing, Vol. 8, No 10, pp.1339-1352, Oct. 2009.   DOI   ScienceOn
6 V. Brik, et al., "DSAP : A protocol for coordinated spectrum access," in The Dynamic Spectrum Access Networks Conference 2005, Baltimore : MD , pp. 611-614, Nov., 2005.
7 Mohammad M. Rashid, et all, "Opportunistic spectrum access in cognitive radio networks : A queueing analytic model and admission controller design," in The Global Telecommunications Conference 2007, Washington: DC , pp. 4647-4652.
8 Y, Yuan, et al.,"Knows: cognitive networking over white spaces," in The Dynamic Spectrum Access Networks Conference 2007, Dublin: Ireland, pp. 416-427, April 2007.
9 L. Zhang, et al., "An integrated cluster based multi channel MAC protocol for mobile ad hoc networks," IEEE Transaction on Wireless Communications, Vol. 6, No.11, pp. 3964-3974, 2007.   DOI   ScienceOn
10 Prabhjot Kaur, et al., "Markovian queueing model for dynamic spectrum allocation in centralized architecture for cognitive radios," in The International Association of Computer Science and Information Technology Conference 2011, Vol. 3, No.1, pp. 96-101, Feb. 2011.
11 Yan Zhang, et al., "Dynamic spectrum access in cognitive radio wireless networks," in The International Communications Conference 2008, Neworleans: LA, pp. 4927-4932.
12 J. Y. Lee, "Performance comparison of call admission control based on predictive resource reservation in wireless networks," The Journal of Korea Navigation Institute, Vol. 13, No.3, June 2009.
13 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, Aug. 2013.