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

Yuguang Fang*

*Corresponding author for this work

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

8 Citations (Scopus)

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.
Original languageEnglish
Title of host publication1999 IEEE Wireless Communications and Networking Conference, WCNC
PublisherIEEE
Pages398-402
Volume1
ISBN (Print)0780356683
DOIs
Publication statusPublished - 1999
Externally publishedYes
Event1st IEEE Annual Wireless Communications and Networking Conference, WCNC 1999 - New Orleans, United States
Duration: 21 Sept 199924 Sept 1999

Publication series

NameIEEE Wireless Communications and Networking Conference, WCNC
Volume1
ISSN (Print)1525-3511

Conference

Conference1st IEEE Annual Wireless Communications and Networking Conference, WCNC 1999
PlaceUnited States
CityNew Orleans
Period21/09/9924/09/99

Bibliographical note

Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

Research Keywords

  • Call blocking
  • Channel holding times
  • Mobile Computing
  • PCS
  • Teletraffic
  • Wireless networks

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