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| Optimal Target Channel Selection Algorithm Based on Hybrid Spectrum Handoffs in Cognitive Radio Networks |
| MA Bin BAO Xiaomin XIE Xianzhong |
| (Chongqing Key Laboratory of Mobile Communications Technology, Chongqing University of Posts and Telecommunications, Chongqing 400065, China) |
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Abstract The predetermined target channel has high risk of being unavailable in the proactive-decision spectrum handoff. To solve this problem, an optimum target channel selection algorithm based on hybrid spectrum handoff is proposed. This algorithm coordinates the advantages of both the proactive-decision and reactive-decision spectrum handoffs. With the metric of minimizing the cumulative handoff delay, the impacts of secondary user’s multiple interruptions, primary user’s arrival rates and imperfect sensing on secondary user’s cumulative handoff delay are included and the detailed analysis and derivation of the secondary user’s cumulative handoff delay are conducted under imperfect sensing. Compared with proactive-decision and reactive-decision target channel selection schemes, the simulation results demonstrate that the performance of the proposed algorithm is especially excellent with frequent channel states variations or heavy traffic loads.
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Received: 21 March 2016
Published: 09 October 2016
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| Fund: The National Natural Science Foundation of China (61271259, 61301123, 61471076), The Foundation and Advanced Research Program of Chongqing (cstc2015jcyjA40047), The Doctoral Start-up Fund of Chongqing University of Posts and Telecommunications (A2014-10, A2015-16) |
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Corresponding Authors:
BAO Xiaomin
E-mail: 505965590@qq.com
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