Abstract
In order to solve the problem of frequent spectral state transition in the traditional cognitive radio network, the existing spectrum sensing is less reliable and the “hidden terminal” is added to reduce the interference to the main user. In this article raised introducing multiple secondary users to cognitive radio network and carrying out Hidden Markova Model (HMM) to main user’s spectrum. Recursion calculating forecast probability of user’s next time slot spectrum status is “busy” or “leisure.” All counting of the secondary users “busy” and “leisure” frequency. If the percentage is “busy” exceeds a certain value, so could judge following time slot spectrum status is “busy,” otherwise it is “leisure.” The simulation results show that the algorithm is 10%–20% higher than the average energy sensing algorithm, and it is more obvious at low level. This paper improves the perceived reliability while rapidly detecting the spectrum, and greatly reduces the interference to the primary user.
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Acknowledgments
This research was supported in part by the National Natural Science Foundation of China (No. 61761007); in part by Guangxi Natural Science Foundation (No. 2016GXNSFAA380222)
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Yang, W., Chen, W., Mekonen, M., Qin, T. (2018). Multi-users Cooperation in Spectrum Sensing Based on HMM Model for Cognitive Radios. In: Yuan, H., Geng, J., Liu, C., Bian, F., Surapunt, T. (eds) Geo-Spatial Knowledge and Intelligence. GSKI 2017. Communications in Computer and Information Science, vol 848. Springer, Singapore. https://doi.org/10.1007/978-981-13-0893-2_12
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DOI: https://doi.org/10.1007/978-981-13-0893-2_12
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