Proposed Spectrum Handoff Algorithm in Cognitive Radio Networks Using Fuzzy Logic Control
This paper investigates the spectrum handoff problem in Cognitive Radio Network. Making the Handoff decision in wireless networks designs is one of the most challenging issues because the sources of information that available are interpreted qualitatively, inexactly or uncertainly and there are many parameters which have to take into account when the secondary user makes the handoff decision. Secondary user makes handoff if it cannot modify its transmitted power within the tolerable interference limits or if the quality of service received by a secondary user is not satisfactory. This paper proposes a fuzzy based approach that able to make effective spectrum handoff decisions using new information for handoff operation. The parameters data rate, the received power at the secondary user from the primary user and the probability of primary user's occupancy are considered as inputs of the proposed system. Therefore, it reduces the probability of spectrum handoff. Consequently; the performance of Secondary user's communication will be improved.
F. Frederiksen, "Improving Spectral Capacity and Wireless Network Coverage by Cognitive Radio Technology and Relay Nodes in Cellular Systems", Wireless Personal Communications, Vol.45, Issue 3, May 2008.
B. Wang and K. J. Ray Liu, " Advances in Cognitive Radio Networks: A Survey" IEEE Signal Processing Journal, Vol. 5, No. 1, February 2011.
I. Christian, S. Moh, I. Chung, and J. Lee, Chosun University. "Spectrum Mobility in Cognitive Radio Networks", IEEE Communications Magazine, June 2012.
A. Çalhan and C. Çekan, "Artificial Neural Network Based Vertical Handoff Algorithm for Reducing Handoff Latency", Wireless Personal Communications, Vol. 71, Issue 4, August 2013.
F. Akyildiz, W.-Y.Lee, and K. Chowdhury, "CRAHNs: Cognitive Radio Ad Hoc Networks," Ad Hoc Networks, Vol.7, No.5, July 2009.
Y. Song, J. Xie, "On the Spectrum Handoff for Cognitive Radio Ad Hoc Networks without Common Control Channel", Cognitive Radio Mobile Ad Hoc Networks, Springer, 2011.
L-c. Wang and A. Chen, "On the Performance of Spectrum Handoff for Link Maintenance in Cognitive Radio," proc. Int' I. symp. Wireless pervasive computing (ISWPC), May 2008.
H.-j. Liu, Z.-x. Wang, S.-f. Li, and M. Yi," Study on the Performance of Spectrum Mobility in Cognitive Wireless Network". 11th IEEE Singapore International Conference on Communication Systems, ICCS'2008, Guangzhou, November 2008.
L. Giupponi, and I. Pérez-Neira, "Fuzzy- Based Spectrum Handoff in Cognitive Radio Network," 3rd International Conference on Cognitive Radio Oriented Wireless Networks and Communication, CROWNCOM'2008, Singapore, May 2008.
A. Çalhan, C. Çekan. "An Optimum Vertical Handoff Decision Algorithm Based on Adaptive Fuzzy Logic and Genetic Algorithm", Wireless Personal Communications, Vol.64, Issue 4, June 2012.
Z. Tabakovic, S. Grgic and M. Grgic, "Fuzzy Logic Power Control in Cognitive Radio", 16thIEEE International Conference on Signal Processing, IWSSIP2009, June 2009.
H. J. Zimmermann. Fuzzy sets, Decision Making and Expert Systems. Boston, Kluwer Academic Publisher, 1987.
A. Kaufmann. Introduction to Theory of Fuzzy Subsets, New York: Academic, 1975.
W. Webb. The Future of wireless Communications, Mobile communication Series, 2001.
IEEE standard for local and metropolitan area networks part 16: Air Interface for Broadband Wireless Access Systems, IEEE standard 802, May2009.
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