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A Low-Interference Channel Status Prediction Algorithm for Instantaneous Spectrum Access in Cognitive Radio Networks

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Abstract

Various channel status prediction algorithms in cognitive radio networks have been proposed to predict channel availability. However, the existing algorithms predict imperfectly and may cause interference to incumbent users, especially when the prediction output is immediately used to access the channels as it is in spectrum mobility. In this paper, we analyze the prediction errors of the conventional channel status prediction algorithm and propose a novel low-interference channel status prediction algorithm (LICSPA) that suppresses the interference caused by prediction errors. Simulation results show that the proposed LICSPA can effectively decrease interference while keeping the prediction accuracy high.

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Acknowledgments

The authors wish to thank the editor and anonymous referees for their helpful comments to improve the quality of this paper. This research was supported in part by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (NRF-2013R1A1A2011744). Correspondence should be addressed to Dr. Sangman Moh (smmoh@chosun.ac.kr).

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Authors and Affiliations

  1. Alstom Grid Pte. Ltd., Singapore, 417818, Singapore

    Ivan Christian

  2. Department of Computer Engineering, Chosun University, Gwangju, 501-759, South Korea

    Sangman Moh

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  1. Ivan Christian
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  2. Sangman Moh
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Correspondence to Sangman Moh.

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Christian, I., Moh, S. A Low-Interference Channel Status Prediction Algorithm for Instantaneous Spectrum Access in Cognitive Radio Networks. Wireless Pers Commun 85, 2599–2610 (2015). https://doi.org/10.1007/s11277-015-2922-0

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  • DOI: https://doi.org/10.1007/s11277-015-2922-0

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