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Proceedings of International Conference on Intelligent Computing, Information and Control Systems pp 9–22Cite as

Proactive Handoff of Secondary User in Cognitive Radio Network Using Machine Learning Techniques

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1272))

Abstract

Spectrum management always appears as an essential part of modern communication systems. Handoff is initiated when the signal strength of a current user deteriorates below a certain threshold. In cognitive radio network, the perception of handoff is different due to the presence of two categories of users: certified/primary user and uncertified/secondary user. The reason for the spectrum handoff arises when the primary user (PU) returns to one of its band used by the secondary user. The spectrum handoff is of two types: reactive handoff and proactive handoff. There are certain limitations in reactive handoff, such as it suffers from prolonged handoff latency and interference. In the proactive handoff, the operation of handoff is planned and implemented by predicting the emergence of primary user based on the historical data usage. Therefore, proactive handoff boosts the performance of a cognitive radio network. In this work, a spectrum prediction technique is proposed for ensuring the spectrum mobility using machine learning. Machine learning techniques such as decision tree, random forest, stochastic gradient classifier, logistic regression, multilayer perceptron, and support vector machine are researched and implemented. The performance of different techniques is compared, and the accuracy of prediction is measured.

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Author information

Authors and Affiliations

  1. Maulana Azad National Institute of Technology, Bhopal, India

    Gaurav Wajhal, Vasudev Dehalwar & Ankit Jha

  2. Kyushu Sangyo University, Fukuoka, Japan

    Koki Ogura

  3. University of Agder, Kristiansand, Norway

    Mohan Lal Kolhe

Authors
  1. Gaurav Wajhal
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  2. Vasudev Dehalwar
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  3. Ankit Jha
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  4. Koki Ogura
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  5. Mohan Lal Kolhe
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Corresponding author

Correspondence to Gaurav Wajhal .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, KGiSL Institute of Technology, Coimbatore, India

    A. Pasumpon Pandian

  2. Department of Business Administration, The Gerald Schwartz School of Business, St. Francis Xavier University, Antigonish, NS, Canada

    Ram Palanisamy

  3. University of Applied Sciences, Aigaleo, Greece

    Klimis Ntalianis

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© 2021 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Wajhal, G., Dehalwar, V., Jha, A., Ogura, K., Kolhe, M.L. (2021). Proactive Handoff of Secondary User in Cognitive Radio Network Using Machine Learning Techniques. In: Pandian, A.P., Palanisamy, R., Ntalianis, K. (eds) Proceedings of International Conference on Intelligent Computing, Information and Control Systems. Advances in Intelligent Systems and Computing, vol 1272. Springer, Singapore. https://doi.org/10.1007/978-981-15-8443-5_2

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