Please use this identifier to cite or link to this item: https://scholarhub.balamand.edu.lb/handle/uob/865
Title: Traffic estimation in wireless networks using filtered doubly stochastic point processes
Authors: Daba, Jihad S. 
Affiliations: Department of Electrical Engineering 
Keywords: Intelligent networks
Traffic control
Quality of service
Ground penetrating radar
Switches
Exponential distribution
Subjects: Telecommunication-traffic
Wireless networks
Stochastic processes
Issue Date: 2005
Publisher: IEEE
Part of: International Conference on Electrical, Electronic and Computer Engineering, 2004. ICEEC '04. 2004
Start page: 116
End page: 119
Conference: IEEE International Conference on Electrical, Electronic, and Computer Engineering (5-7 Sept. 2004 : Cairo, Egypt) 
Abstract: 
Traffic estimation techniques play an increasingly vital role in the - accurate design of networks. This paper presents stochastic models and estimation algorithms for traffic in wireless networks. The stochastic models for traffic are based on a doubly stochastic filtered Poisson point process., For each Of these statistical models, we present optimal and compulationally efficient estimation algorithms to determine the average traffic intensity using transformed data measurements. We show that the maximum likelihood. estimator is optimal in the sense that the variance of the error is the smallest possible using any other conceivable estimate having the same bias with the same data.
URI: https://scholarhub.balamand.edu.lb/handle/uob/865
Ezproxy URL: Link to full text
Type: Conference Paper
Appears in Collections:Department of Electrical Engineering

Show full item record

Record view(s)

2
checked on Jun 23, 2021

Google ScholarTM

Check


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.