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Future Internet 2017, 9(2), 10; doi:10.3390/fi9020010

Decentralized Blind Spectrum Selection in Cognitive Radio Networks Considering Handoff Cost

1
School of Physics and Technology, Wuhan University, Wuhan 430072, China
2
International School of Software, Wuhan University, Wuhan 430072, China
3
Oujiang College, Wenzhou University, Chashan University Town, Wenzhou 325035, China
*
Author to whom correspondence should be addressed.
Academic Editor: Francisco Javier Falcone Lanas
Received: 15 February 2017 / Revised: 20 March 2017 / Accepted: 28 March 2017 / Published: 31 March 2017
(This article belongs to the Special Issue Context-Awareness of Mobile Systems)
View Full-Text   |   Download PDF [1279 KB, uploaded 31 March 2017]   |  

Abstract

Due to the spectrum varying nature of cognitive radio networks, secondary users are required to perform spectrum handoffs when the spectrum is occupied by primary users, which will lead to a handoff delay. In this paper, based on the multi-armed bandit framework of medium access in decentralized cognitive radio networks, we investigate blind spectrum selection problem of secondary users whose sensing ability of cognitive radio is limited and the channel statistics are a priori unknown, taking the handoff delay as a fixed handoff cost into consideration. In this scenario, secondary users have to make the choice of either staying foregoing spectrum with low availability or handing off to another spectrum with higher availability. We model the problem and investigate the performance of three representative policies, i.e., ρPRE, SL(K), kth-UCB1. The simulation results show that, despite the inclusion of the fixed handoff cost, these policies achieve the same asymptotic performance as that without handoff cost. Moreover, through comparison of these policies, we found the kth-UCB1 policy has better overall performance. View Full-Text
Keywords: cognitive radio networks; opportunistic spectrum access; multi-armed bandit; handoff cost; distributed algorithms cognitive radio networks; opportunistic spectrum access; multi-armed bandit; handoff cost; distributed algorithms
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Chen, Y.; Zhou, H.; Kong, R.; Zhu, L.; Mao, H. Decentralized Blind Spectrum Selection in Cognitive Radio Networks Considering Handoff Cost. Future Internet 2017, 9, 10.

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