Models for wireless data communications in indoor train environment
- Author
- Luc Verstrepen (UGent) , Wout Joseph (UGent) , Emmeric Tanghe (UGent) , Daan Pareit (UGent) , Dries Naudts (UGent) , Jan Keymeulen (UGent) , Peter De Cleyn, Chris Blondia, Luc Martens (UGent) and Ingrid Moerman (UGent)
- Organization
- Abstract
- The provisioning of wireless data services in the railway environment will become increasingly important for train operators and train constructors in the upcoming years. In this paper, we present models to predict train-to-wayside wireless data communications characteristics in terms of throughput, jitter, and packet loss predictions for 2G/3G networks. To this end, an extensive measurement campaign is carried out along a Belgian Intercity railway track. Based on these measurements, we apply a multiple regression, window mean, and autoregressive model. We find that the window mean model is recommended for the prediction of throughput and jitter, while the multiple regression model is more favorable for the prediction of packet loss. The implementation of these predictions in train-to-wayside communication systems can enhance the provisioning of seamless network connection necessary for a wide variety of data services.
- Keywords
- Railway, Train-to-wayside, 3G, Measurement, Model, Data services, Wireless, NETWORKS, PREDICTION, IBCN
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Citation
Please use this url to cite or link to this publication: http://hdl.handle.net/1854/LU-3124374
- MLA
- Verstrepen, Luc, et al. “Models for Wireless Data Communications in Indoor Train Environment.” WIRELESS PERSONAL COMMUNICATIONS, vol. 67, no. 4, 2012, pp. 741–60, doi:10.1007/s11277-011-0408-2.
- APA
- Verstrepen, L., Joseph, W., Tanghe, E., Pareit, D., Naudts, D., Keymeulen, J., … Moerman, I. (2012). Models for wireless data communications in indoor train environment. WIRELESS PERSONAL COMMUNICATIONS, 67(4), 741–760. https://doi.org/10.1007/s11277-011-0408-2
- Chicago author-date
- Verstrepen, Luc, Wout Joseph, Emmeric Tanghe, Daan Pareit, Dries Naudts, Jan Keymeulen, Peter De Cleyn, Chris Blondia, Luc Martens, and Ingrid Moerman. 2012. “Models for Wireless Data Communications in Indoor Train Environment.” WIRELESS PERSONAL COMMUNICATIONS 67 (4): 741–60. https://doi.org/10.1007/s11277-011-0408-2.
- Chicago author-date (all authors)
- Verstrepen, Luc, Wout Joseph, Emmeric Tanghe, Daan Pareit, Dries Naudts, Jan Keymeulen, Peter De Cleyn, Chris Blondia, Luc Martens, and Ingrid Moerman. 2012. “Models for Wireless Data Communications in Indoor Train Environment.” WIRELESS PERSONAL COMMUNICATIONS 67 (4): 741–760. doi:10.1007/s11277-011-0408-2.
- Vancouver
- 1.Verstrepen L, Joseph W, Tanghe E, Pareit D, Naudts D, Keymeulen J, et al. Models for wireless data communications in indoor train environment. WIRELESS PERSONAL COMMUNICATIONS. 2012;67(4):741–60.
- IEEE
- [1]L. Verstrepen et al., “Models for wireless data communications in indoor train environment,” WIRELESS PERSONAL COMMUNICATIONS, vol. 67, no. 4, pp. 741–760, 2012.
@article{3124374,
abstract = {{The provisioning of wireless data services in the railway environment will become increasingly important for train operators and train constructors in the upcoming years. In this paper, we present models to predict train-to-wayside wireless data communications characteristics in terms of throughput, jitter, and packet loss predictions for 2G/3G networks. To this end, an extensive measurement campaign is carried out along a Belgian Intercity railway track. Based on these measurements, we apply a multiple regression, window mean, and autoregressive model. We find that the window mean model is recommended for the prediction of throughput and jitter, while the multiple regression model is more favorable for the prediction of packet loss. The implementation of these predictions in train-to-wayside communication systems can enhance the provisioning of seamless network connection necessary for a wide variety of data services.}},
author = {{Verstrepen, Luc and Joseph, Wout and Tanghe, Emmeric and Pareit, Daan and Naudts, Dries and Keymeulen, Jan and De Cleyn, Peter and Blondia, Chris and Martens, Luc and Moerman, Ingrid}},
issn = {{0929-6212}},
journal = {{WIRELESS PERSONAL COMMUNICATIONS}},
keywords = {{Railway,Train-to-wayside,3G,Measurement,Model,Data services,Wireless,NETWORKS,PREDICTION,IBCN}},
language = {{eng}},
number = {{4}},
pages = {{741--760}},
title = {{Models for wireless data communications in indoor train environment}},
url = {{http://dx.doi.org/10.1007/s11277-011-0408-2}},
volume = {{67}},
year = {{2012}},
}
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