DOI: 10.7763/IJCCE.2012.V1.88
Cognitive Learning-Based Spectrum Handoff for Cognitive Radio Network
Abstract—In cognitive radio network, spectrum handoff occurs when primary user appears in the licensed band which is occupied by the cognitive user. Spectrum handoff aims to help cognitive user find suitable channel to resume the unfinished transmission as quickly as possible. In this paper, we propose a cognitive learning algorithm which can be used to decide the order of channel-sensing when the cognitive user needs to carryon spectrum handoff. Both theoretical analysis and simulation results show that using the cognitive learning algorithm to predict the channel status can reduce the average spectrum handoff time compared with the random access algorithm.
Index Terms—Spectrum-handoff, average handoff time, cognitive learning algorithm.
The authors are with the Wireless Signal Processing and Network Lab Key Laboratory of Universal Wireless Communication, Ministry of Education Beijing University of Posts and Telecommunications (BUPT)Beijing 100876, P. R. China (e-mail: fengchongfc2007@163.com).
Cite: Chong Feng, Wenbo Wang, and Xiao Jiang, "Cognitive Learning-Based Spectrum Handoff for Cognitive Radio Network," International Journal of Computer and Communication Engineering vol. 1, no. 4, pp. 350-353 , 2012.
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