Proceedings of the 2015 International Conference on Industrial Technology and Management Science

Primary User Channel State Prediction Based on Markov Switching Model

Authors
Ahmed Mohammed Mikaeil, Bin Guo, Xuemei Bai, Zhijun Wang
Corresponding Author
Ahmed Mohammed Mikaeil
Available Online November 2015.
DOI
https://doi.org/10.2991/itms-15.2015.172How to use a DOI?
Keywords
Channel state prediction; Channel occupancy status; Markov switching model; Maximum likelihood estimation; Primary users
Abstract
The most important challenge of the spectrum sensing is to find a way to share the licensed spectrum without interfering with the licensed users transmission. Therefore, predicting the licensed or primary users (PU) channel occupancy status has been investigated extensively in recent years, this study introduce a novel approach for predicting the PU channel state based on Markov switching model. In this approach we model the detected primary user channel state, which can be represented by two states; PU channel “idle” or “occupied” as a time series changing “switching” over the time between two Gaussian distribution according to the detection sequence. Then we fed this time series into the Markov switching model to predict these switching “changes” before they happen so that the secondary user (SU) can adjust their transmission strategies accordingly .The experimental results show the efficiency of the new approach for predicting the PU channel occupancy status.
Open Access
This is an open access article distributed under the CC BY-NC license.

Download article (PDF)

Proceedings
2015 International Conference on Industrial Technology and Management Science
Part of series
Advances in Computer Science Research
Publication Date
November 2015
ISBN
978-94-6252-123-0
ISSN
2352-538X
DOI
https://doi.org/10.2991/itms-15.2015.172How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Ahmed Mohammed Mikaeil
AU  - Bin Guo
AU  - Xuemei Bai
AU  - Zhijun Wang
PY  - 2015/11
DA  - 2015/11
TI  - Primary User Channel State Prediction Based on Markov Switching Model
BT  - 2015 International Conference on Industrial Technology and Management Science
PB  - Atlantis Press
SN  - 2352-538X
UR  - https://doi.org/10.2991/itms-15.2015.172
DO  - https://doi.org/10.2991/itms-15.2015.172
ID  - Mikaeil2015/11
ER  -