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What is Optimal Channel Selection in CR Networks about?

This document presents a study on improving routing performance in Cognitive Radio Networks (CRNs) through an Improved Q-Reinforcement Learning algorithm for optimal channel selection. The proposed method aims to maximize throughput and minimize end-to-end delay by dynamically selecting available channels while considering factors like channel interference and switching counts. Simulation results indicate that the proposed approach outperforms existing routing protocols in terms of various performance metri

Author

AIRCC - IJCNC

Language

EN