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A Survey on Artificial Intelligence Techniques in Cognitive Radio Networks

  • R. Ganesh Babu
  • V. AmudhaEmail author
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 755)

Abstract

Cognitive radio (CR) is the solution for the current spectral underutilized problems, Context awareness and environment awareness are the key functions of CR nowadays. A software radio with reconfiguration capacity will become Cognitive Radio by imparting intelligence to SDR using Artificial Intelligence Techniques. There are processes in CR such as spectrum sensing, monitoring, and management involves the use of AI techniques. Artificial Intelligence (AI) is directed along with “cognitive” functions for better learning and classification. Recently deep learning involves more “self-learning” algorithms without any supervision. Hence it is important to discuss the various AI techniques for better resource optimization in CR networks. Optimization parameters are different for different techniques depend upon the radio environment. The type of AI technique for a particular application is random.

Keywords

Cognitive radio Artificial intelligence techniques Artificial neural networks (ANN) Genetic algorithms (GA) 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.St. Peter’s Institute of Higher Education and ResearchChennaiIndia
  2. 2.St. Peter’s College of Engineering and TechnologyChennaiIndia

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