This book is designed for researchers specializing in cognitive radio communications with a particular focus on signal processing perspectives. It delves deeply into the security aspects of cooperative spectrum sensing exploring attack motives mechanisms and state-of-the-art defense strategies. Additionally the book provides a comprehensive analysis of using deep-Q-network (DQN) learning to counteract security threats in cognitive radios. The frameworks developed for DQN learning applications are versatile and can be adapted for other learning frameworks. Readers are expected to have a background in stochastic processes wireless communications linear algebra detection theory calculus and basic signal processing.
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