Abstract
Cognitive Radio has been viewed as a promising technology to enhance spectrum utilization significantly. In this work, we propose a model for Dynamic Spectrum Allocationin Cognitive Radio Networks using Game Theory. Furthermore, in order to accommodate for all cases, we have put to good use of Preemptive Resume Priority M|M|1 Queuing Model. To supplement it we introduce a priority-based scheduling algorithm called Incremental Weights-Decremental Ratios (IW-DR). As a means to ameliorate the efficiency, we have made use of Regression Models.
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Mangairkarasi, S., Sarankapani, R., Arivudainambi, D. (2021). A Game-Theoretic Approach for Cognitive Radio Networks Using Machine Learning Techniques. In: Kumar, A., Mozar, S. (eds) ICCCE 2020. Lecture Notes in Electrical Engineering, vol 698. Springer, Singapore. https://doi.org/10.1007/978-981-15-7961-5_4
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DOI: https://doi.org/10.1007/978-981-15-7961-5_4
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