Exploiting machine learning algorithms for cognitive radio

Author

Sharma, Vishal ; Bohara, Vivek Ashok

Author_Institution

Dept. of Comput. Sci. & Eng., Indraprastha Inst. of Inf. Technol. Delhi, New Delhi, India

fYear

2014

fDate

24-27 Sept. 2014

Firstpage

1554

Lastpage

1558

Abstract

Cognitive radio is an intelligent radio that has the ability to sense and learn from its environment. Basic core of cognitive radio contains a learning engine and it plays an important role in every application of cognitive radio from spectrum sensing to spectrum management. Learning engine implements different learning algorithms. In this paper we discuss various learning algorithms and their application in solving specific problems of cognitive radio. Some of the prominent learning algorithms discussed in this paper are Genetic Algorithm (GA), Artificial Neural Networks (ANN) and Hidden Markov Model (HMM).

Keywords

cognitive radio; genetic algorithms; hidden Markov models; learning (artificial intelligence); neural nets; artificial neural networks; cognitive radio; genetic algorithm; hidden Markov model; intelligent radio; learning engine; machine learning algorithms; spectrum management; spectrum sensing; Bit error rate; Cognitive radio; Genetic algorithms; Hidden Markov models; Machine learning algorithms; Sociology; Statistics; Artificial Neural Networks (ANN); Cognitive Radio; Genetic Algorithm (GA); Hidden Markov Model (HMM); Machine Learning;

fLanguage

English

Publisher

ieee

Conference_Titel

Advances in Computing, Communications and Informatics (ICACCI, 2014 International Conference on

Conference_Location

New Delhi

Print_ISBN

978-1-4799-3078-4

Type

conf

DOI

10.1109/ICACCI.2014.6968571

Filename

6968571