Implementation of Hidden Markov Model spectrum prediction algorithm

Thomas Black; Bridget Kerans; Andrew Kerans

doi:10.1109/ISCIT.2012.6380906

Implementation of Hidden Markov Model spectrum prediction algorithm

Thomas Black^*, Bridget Kerans, Andrew Kerans

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

12 Citations (Scopus)

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.

Original language	English
Title of host publication	2012 International Symposium on Communications and Information Technologies, ISCIT 2012
Pages	280-283
Number of pages	4
DOIs	https://doi.org/10.1109/ISCIT.2012.6380906
Publication status	Published - 2012
Event	2012 International Symposium on Communications and Information Technologies, ISCIT 2012 - Gold Coast, QLD, Australia Duration: 2 Oct 2012 → 5 Oct 2012

Publication series

Name	2012 International Symposium on Communications and Information Technologies, ISCIT 2012

Conference

Conference	2012 International Symposium on Communications and Information Technologies, ISCIT 2012
Country/Territory	Australia
City	Gold Coast, QLD
Period	2/10/12 → 5/10/12

Access to Document

10.1109/ISCIT.2012.6380906

Cite this

@inproceedings{7d985688363d405792230d73743b7596,

title = "Implementation of Hidden Markov Model spectrum prediction algorithm",

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.",

author = "Thomas Black and Bridget Kerans and Andrew Kerans",

year = "2012",

doi = "10.1109/ISCIT.2012.6380906",

language = "English",

isbn = "9781467311571",

series = "2012 International Symposium on Communications and Information Technologies, ISCIT 2012",

pages = "280--283",

booktitle = "2012 International Symposium on Communications and Information Technologies, ISCIT 2012",

note = "2012 International Symposium on Communications and Information Technologies, ISCIT 2012 ; Conference date: 02-10-2012 Through 05-10-2012",

}

Black, T, Kerans, B & Kerans, A 2012, Implementation of Hidden Markov Model spectrum prediction algorithm. in 2012 International Symposium on Communications and Information Technologies, ISCIT 2012., 6380906, 2012 International Symposium on Communications and Information Technologies, ISCIT 2012, pp. 280-283, 2012 International Symposium on Communications and Information Technologies, ISCIT 2012, Gold Coast, QLD, Australia, 2/10/12. https://doi.org/10.1109/ISCIT.2012.6380906

Implementation of Hidden Markov Model spectrum prediction algorithm. / Black, Thomas; Kerans, Bridget; Kerans, Andrew.
2012 International Symposium on Communications and Information Technologies, ISCIT 2012. 2012. p. 280-283 6380906 (2012 International Symposium on Communications and Information Technologies, ISCIT 2012).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Implementation of Hidden Markov Model spectrum prediction algorithm

AU - Black, Thomas

AU - Kerans, Bridget

AU - Kerans, Andrew

PY - 2012

Y1 - 2012

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=84872165168&partnerID=8YFLogxK

U2 - 10.1109/ISCIT.2012.6380906

DO - 10.1109/ISCIT.2012.6380906

M3 - Conference contribution

SN - 9781467311571

T3 - 2012 International Symposium on Communications and Information Technologies, ISCIT 2012

SP - 280

EP - 283

BT - 2012 International Symposium on Communications and Information Technologies, ISCIT 2012

T2 - 2012 International Symposium on Communications and Information Technologies, ISCIT 2012

Y2 - 2 October 2012 through 5 October 2012

ER -

Implementation of Hidden Markov Model spectrum prediction algorithm

Abstract

Publication series

Conference

Access to Document

Other files and links

Fingerprint

Cite this