By Topic

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

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
M. Alasti ; Dept. of Electr. Eng., Maryland Univ., College Park, MD, USA ; N. Farvardin

A diffusion approximation is proposed for the data section of the source encoding assisted multiple access (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

Published in:

Wireless Communications and Networking Confernce, 2000. WCNC. 2000 IEEE  (Volume:3 )

Date of Conference: