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

Author

Fang, Yuguang

Author_Institution

Dept. of Electr. & Comput. Eng., New Jersey Inst. of Technol., Newark, NJ, USA

fYear

1999

fDate

1999

Firstpage

398

Abstract

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

Keywords

cellular radio; fractals; mobile computing; personal communication networks; probability; telecommunication traffic; PCS; cell residence time; channel holding time effect; fat-tailed distributions; hyper-Erlang distribution model; mobile computing systems; mobile networks; performance evaluation; self-similar traffic; traffic modeling; users mobility; wireless networks; Computer networks; Distributed computing; Intelligent networks; Mobile computing; Paper technology; Personal communication networks; Telecommunication computing; Telecommunication traffic; Traffic control; Wireless networks;

fLanguage

English

Publisher

ieee

Conference_Titel

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

Conference_Location

New Orleans, LA

ISSN

1525-3511

Print_ISBN

0-7803-5668-3

Type

conf

DOI

10.1109/WCNC.1999.797855

Filename

797855