Title :
Implementation of Hidden Markov Model spectrum prediction algorithm
Author :
Black, Thomas ; Kerans, Bridget ; Kerans, Andrew
Author_Institution :
Sch. of Eng., Australian Nat. Univ., Canberra, ACT, Australia
Abstract :
The demand for spectrum is at an all time high due to the increasing popularity of wireless devices. As such it is imperative that technological and regulatory mechanisms are developed to maximise spectral efficiency. This paper documents a method for increasing spectral efficiency through the prediction of spectrum “holes” for use with cognitive radio technologies. An algorithm is developed based upon a Hidden Markov Model of the spectral environment. The Baum-Welch algorithm is employed to dynamically calculate the transition parameters of the model. The algorithm is tested upon data collected from the 450-470 MHz band in Australia with a reward function implemented to analyse the performance of the algorithm.
Keywords :
cognitive radio; hidden Markov models; Baum Welch algorithm; cognitive radio technology; hidden Markov model spectrum prediction algorithm; regulatory mechanism; spectral efficiency; spectral environment; wireless devices; Algorithm design and analysis; Cognitive radio; Heuristic algorithms; Hidden Markov models; Interference; Prediction algorithms; Sensors;
Conference_Titel :
Communications and Information Technologies (ISCIT), 2012 International Symposium on
Conference_Location :
Gold Coast, QLD
Print_ISBN :
978-1-4673-1156-4
Electronic_ISBN :
978-1-4673-1155-7
DOI :
10.1109/ISCIT.2012.6380906