Abstract
Machine Learning (ML) can improve system performance in many fields such as data dining, object tracking, spectrum sensing and indoor positioning. A review on ML was presented in this paper. Firstly, we looked back to the development, definition and classification of ML; secondly, we summarized the basic principle, mathematical formulation and application methods of two classic algorithms named error back-propagation (BP) and clustering; then, we focused on advanced and typical applications of ML in communication systems like cognitive radio networks (CRNs) and positioning system; finally, we concluded that the system performance could be improved by ML technique.
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Acknowledgements
This work was supported by the National Natural Science Foundations of China under Grant No. 61601221 and 61301131, the Natural Science Foundations of Jiangsu Province under Grant No. BK20140828, the China Postdoctoral Science Foundations under Grant No. 2015M580425 and the Fundamental Research Funds for the Central Universities under Grant No. 3132016347 and DUT16RC(3)045.
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Lv, J., Na, Z., Liu, X., Deng, Z. (2019). Machine Learning and Its Applications in Wireless Communications. In: Liang, Q., Mu, J., Jia, M., Wang, W., Feng, X., Zhang, B. (eds) Communications, Signal Processing, and Systems. CSPS 2017. Lecture Notes in Electrical Engineering, vol 463. Springer, Singapore. https://doi.org/10.1007/978-981-10-6571-2_296
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DOI: https://doi.org/10.1007/978-981-10-6571-2_296
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