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Research on soft computing techniques for cognitive radio
, Subhashree Mishra, Sudhansu Sekhar Singh, Bhabani Shankar Prasad Mishra
Published in
2016
Volume: 7
   
Issue: 2
Pages: 53 - 73
Abstract

Presently, the world of wireless communication is going under some crucial challenges, which attracts the attention of several researchers. Cognitive radio is defined as a multidimensional aware, autonomous radio system that learns from its experiences to reason, plan & decide future actions to meet user needs. Such a highly varied radio environment calls on intelligent management, allocation & usage of scarce resources. Issues like spectrum sensing & allocation, environmental learning i.e., adaptability & capability to learn attracts the attention of several soft computing learning & optimization techniques like neural networks, fuzzy logic, genetic algorithm & swarm intelligence. The cognitive engine behind the radio combines the sensing, learning, switching and optimization algorithms to control & adapt the radio system from the physical layer to the top of the communication stack. This paper presents a critical review on different soft computing approaches applied over the cognitive radio issues & also points out different research directions over it.

About the journal
JournalInternational Journal of Mobile Computing and Multimedia Communications
ISSN19379404
Open AccessNo