Machine Learning Implementation in Cognitive Radio Networks with Game-Theory Technique
Jennifer S. Raj
Abstract
Significant enhancement of spectrum utilization can be performed by means of Cognitive Radio technology. A game theory based Cognitive Radio Network with Dynamic Spectrum Allocation model is proposed in this paper. M|M|1 queuing model is implemented along with Preemptive Resume Priority for accommodation of all the cases. An Incremental Weights-Decremental Ratios (IW-DR) algorithm based on priority-based scheduling is used for supplementing this theory. Regression models are used for restructuring and improving the efficiency of the system.
Topics & Concepts
Cognitive radioComputer scienceQueueing theoryGame theoryScheduling (production processes)CognitionArtificial intelligenceComputer networkMathematical optimizationTelecommunicationsPsychologyMathematicsMathematical economicsNeuroscienceWirelessCognitive Radio Networks and Spectrum SensingAdvanced Queuing Theory AnalysisBlind Source Separation Techniques