Dynamic Spectrum Access Using Markov Chain Technique for Regional area Network.

Jayant P Pawar


Cognitive Radio Network is the effective solution to the spectrum scarcity.  Dynamic spectrum access is a paradigm used to access the spectrum dynamically. A Markov Chain is a stochastic model describing a sequence of possible events in which probability of each event depends only on the state attained in the previous event. We model the dynamics of cognitive user with 2-D Markov chain. The resource distribution probability (RDP) verses addition/ elimination rate of the channels in the network is also plotted. The RDP verses utilization factor of the queue, which is the secondary user in the network, is also plotted. This plot helps to maintain the total arrival and departure rate based on the RDP. The base station of the network will use this relation to maintain the proper RDP for the devices. The dynamics of each cognitive user and its correlation with Markov Chain is an interesting approach. Here we considered the DSA at Base Station as a Markov chain and analyzed it. This analysis help us to determine the behavior of the cognitive radio. The channel grouping is suggested in this work and plotted the trinomial distribution of the quality of the channels available in the network.


Cognitive Radio Network, Dynamic Spectrum Access, Markov Chain, Regional Area Network, utilization factor


Mitola, J., III; Maguire, G.Q. Jr., “Cognitive radio: making software radios more personal,” IEEE Personal Communications, Volume 6, Issue 4, Aug 1999 pp. 13 – 18.

Qing Zhao Sadler, B.M., “A Survey of Dynamic Spectrum Access,” IEEE Signal Processing Magazine Vol. 24, No. 3. May, 2007. pp. 79-89.

IEEE 802.22, “Part 22: cognitive wireless RAN medium access

control (MAC)and physical layer (PHY) specifications: policies and procedures for operation in the TV bands,” Jun. 2011

N. Tadayon and S. Aissa, “Modeling and Analysis of Cognitive Radio Based IEEE 802.22 Wireless Regional Area Networks,” IEEE Transactions on Wireless Communications Vol 12, NO 9.September 2013. pp 4363-4375.

Qing Zhao Sadler, B.M., “A Survey of Dynamic Spectrum Access”,IEEE Signal Processing Magazine Vol. 24, No. 3. May, 2007. Pp.79-89.

Markov, A. A., “ Theory of Algorithms,” [Translated by Jacques J. Schorr-Kon and PST staff] Imprint Moscow, Academy of Sciences of the USSR,1954

Durrett, Rick, “Probability: Theory and Examples,” Fourth Edition. Cambridge University Press, 2010.

Jackson, R. R. P., “Book review: Queuing networks and product forms: a systems approach,” IMA Journal of Management Mathematics. 6 (4): pp.382-384.

Jayant P. Pawar, Dr. Prashant V. Ingole, “Dynamic Spectrum Access Analysis in Cognitive Radio Based Wireless Regional Area Network”, IEEE Xplore:, ISCO 2016, Vol 2, November 2016, pp 479-482

DOI: http://doi.org/10.11591/ijeecs.v19.i2.pp%25p
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