Affiliation:
1. University of London, UK
Abstract
Cognitive radios (CRs) are intelligent wireless sensor devices that sense, learn, and adapt to real-time operating environments. One of the essential characteristics of a CR-based communication network (also known as cognitive radio networks (CRNs)) is to optimize radio spectrum usage. CRNs have two types of users: Primary users (PUs) and secondary users (SUs). PUs are licensed users who can utilize the available spectrum at any instance of their licensed time. SUs are unlicensed users who can utilize the spectrum only when PUs are not utilizing the allocated spectrum band. This chapter reviews various artificial intelligence (AI) techniques in cognitive radio applications to enhance CRN cognition capability. AI enables systems to solve problems by emulating human behaviours (e.g., reasoning, and learning), and these behaviours are studied in applications related to the tasks of cognitive radio