Dynamic control approaches of spectrum sensing in multi-band cognitive radio networks |
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Authors: | AN Chun-yan JI Hong SI Peng-bo MAO Xu |
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Affiliation: | [1]College of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China [2]College of Electronics Information and Control Engineering, Beijing University of Technology, Beijing 100022, China |
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Abstract: | In this paper,the dynamic control approaches for spectrum sensing are proposed,based on the theory that prediction is synonymous with data compression in computational learning. Firstly,a spectrum sensing sequence prediction scheme is proposed to reduce the spectrum sensing time and improve the throughput of secondary users. We use Ziv-Lempel data compression algorithm to design the prediction scheme,where spectrum band usage history is utilized. In addition,an iterative algorithm to find out the optimal number of spectrum bands allowed to sense is proposed,with the aim of maximizing the expected net reward of each secondary user in each time slot. Finally,extensive simulation results are shown to demonstrate the effectiveness of the proposed dynamic control approaches of spectrum sensing. |
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Keywords: | spectrum sensing sequence optimal number of spectrum bands cognitive radio networks Ziv-Lempel algorithm |
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