Influence of Artificial Intelligence on Cognitive Radio Applications

Abstract

Cognitive radio networks (CRNs) promise to meet device-to-device communication requirements for effective spectrum utilization and power control in a distributed environment for industrial applications. The architecture of the CRN must maintain a high data rate (throughput) at low power consumption, which requires both radio spectrum efficient and energy efficient system design. In order to attain these objectives, the architecture adopts a CRN model needs to operate in an interweave mode that allows spectrum sensing followed by opportunistic secondary user (SU) data transmission over the unused bandwidth of the primary user (PU) in an operating structure. It improves the usage of the radio spectrum intelligently. Cognitive radio works in tandem with artificial intelligence (AI) techniques to provide an intelligent allocation of resources for its users. This chapter aims to highlight the various AI techniques used in cognitive radio operations to enhance cognition capabilities in CRNs and present a review of the subject.