Mobile Broadband Traffic Forecasts in Korea
Chanwoo Cho, Sungjoo Lee
2012
Abstract
During many years, the dominant traffic in mobile broadband networks was voice. However, with the introduction of diverse mobile broadband equipment, the situation has changed. Since mobile broadband devices can allow users to access information instant and connect to web quickly, the mobile world has been revolutionized, where global mobile data traffic has been increasing dramatically. And the changes in the patterns of usage for mobile devices have started to cause traffic jams on the mobile broadband networks. As a result, forecasting the future traffic needs is in urgent need to provide high-quality mobile broadband services. To meet this need, this research aims to suggest a new forecasting method for future mobile broadband traffic. For the purpose, three-round Delphi survey was conducted to identify devices and applications that would affect in the future mobile broadband traffic, and their expected growth rates of users and changes in the patterns of use for each device. Then the total amount of mobile broadband traffic was forecasted based on survey results. The research results are expected to provide the basic research data for a further study.
References
- Bass, F. M., 1969. A New Product Growth Model for Consumer Durables. Management Science, Vol. 15, No. 5, pp. 215-227.
- Bengisu, M., Nekhili, R., 2006. Forecasting emerging technologies with the aid of science and technology databases. Technological Forecasting and Social Change, Vol. 73, No. 7, pp. 835-844.
- Chu, W., Wu, F., Kao, K., Yen, D., 2009. Diffusion of mobile telephony: An empirical study in Taiwan. Telecommunications Policy, Vol. 33, No. 9, pp. 506- 520.
- CISCO, 2011. Cisco Visual Networking Index: Global Mobile Data Traffic Forecast Updata, 2010-2015. white paper.
- English, J. M., Kernan, G. L., 1976. The prediction of air travel and aircraft technology to the year 2000 using the Delphi method. Transportation Research, Vol. 10, No. 1, pp. 1-8.
- Gerdsri, N., 2003. An analytical approach to building a technology development envelope (TDE) for roadmapping of emerging technologies: a case study of emerging electronic cooling technologies for computer servers. In the Proceedings of PICMET'03, pp. 380-389.
- Mahajan, V., Muller, E., 1979. Innovation Diffusion and New Product Growth Models in Marketing. Journal of Marketing, Vol. 43, No. 4, pp. 55-68.
- Mansfield, E., 1968. Industrial research and technological innovation: An econometric analysis. New York: Norton.
- Steel, G. G., 1977. Growth Kinetics of Tumors. Oxford: Clarendon Press.
Paper Citation
in Harvard Style
Cho C. and Lee S. (2012). Mobile Broadband Traffic Forecasts in Korea . In Proceedings of the International Conference on Data Communication Networking, e-Business and Optical Communication Systems - Volume 1: DCNET, (ICETE 2012) ISBN 978-989-8565-23-5, pages 41-45. DOI: 10.5220/0004066200410045
in Bibtex Style
@conference{dcnet12,
author={Chanwoo Cho and Sungjoo Lee},
title={Mobile Broadband Traffic Forecasts in Korea},
booktitle={Proceedings of the International Conference on Data Communication Networking, e-Business and Optical Communication Systems - Volume 1: DCNET, (ICETE 2012)},
year={2012},
pages={41-45},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004066200410045},
isbn={978-989-8565-23-5},
}
in EndNote Style
TY - CONF
JO - Proceedings of the International Conference on Data Communication Networking, e-Business and Optical Communication Systems - Volume 1: DCNET, (ICETE 2012)
TI - Mobile Broadband Traffic Forecasts in Korea
SN - 978-989-8565-23-5
AU - Cho C.
AU - Lee S.
PY - 2012
SP - 41
EP - 45
DO - 10.5220/0004066200410045