A diffusion approximation for voice-data integration in a wireless network

Mehdi Alasti, Nariman Farvardin

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

A diffusion approximation is proposed for data section of the SEAMA protocol, a voice and data communication wireless network. In SEAMA, a reservation mechanism handles the slot assignment for the voice traffic which operates as an M/M/Nmax/Nmax loss system. The data traffic is a Markovian queueing system with a random number of channels assigned. It is shown that for high loads of voice traffic and high loads of data traffic, the data queueing system is similar to a dam with an input which can be decomposed into three independent components: a Markov AR process, a non-zero mean White Gaussian noise process and a zero mean Gaussian random variable. The data process is shown to be approximated by a Wiener process with a reflecting barrier at the origin. Using this approximation, the system behavior is described and the desired parameters for the data traffic, i.e. average data packet delay and average data queue length are obtained.

Original languageEnglish
Title of host publication2000 IEEE Wireless Communications and Networking Conference
Pages1367-1371
Number of pages5
StatePublished - 2000
Event2000 IEEE Wireless Communications and Networking Conference - Chicago, IL, United States
Duration: 23 Sep 200028 Sep 2000

Publication series

Name2000 IEEE Wireless Communications and Networking Conference

Conference

Conference2000 IEEE Wireless Communications and Networking Conference
Country/TerritoryUnited States
CityChicago, IL
Period23/09/0028/09/00

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