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|Title:||Traffic estimation in wireless networks using filtered doubly stochastic point processes||Authors:||Daba, Jihad S.||Affiliations:||Department of Electrical Engineering||Keywords:||Intelligent networks
Quality of service
Ground penetrating radar
|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|
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