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Hyper-Erlang distributions and traffic modeling in wireless and mobile networks

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1 Author(s)
Yuguang Fang ; Dept. of Electr. & Comput. Eng., New Jersey Inst. of Technol., Newark, NJ, USA

This paper presents the study of the hyper-Erlang distribution model and its applications in wireless networks and mobile computing systems. We demonstrate that the hyper-Erlang models provides a very general model for users' mobility and may provide viable approximations to fat-tailed distributions which lead to the self-similar traffic. We apply the hyper-Erlang distribution to model the cell residence time (for users' mobility) and demonstrate the effect on channel holding time. This research opens a new avenue for traffic modeling and performance evaluation for wireless networks and mobile computing systems

Published in:

Wireless Communications and Networking Conference, 1999. WCNC. 1999 IEEE

Date of Conference:

1999

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