Chapter 2 Probability, Statistics, and Traffic Theories
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Transcript Chapter 2 Probability, Statistics, and Traffic Theories
CS 6910 – Pervasive Computing
Spring 2007
Section 2 (Ch.2):
Probability, Statistics, and
Traffic Theories
Prof. Leszek Lilien
Department of Computer Science
Western Michigan University
Slides based on publisher’s slides for 1st and 2nd edition of:
Introduction to Wireless and Mobile Systems by Agrawal & Zeng
© 2003, 2006, Dharma P. Agrawal and Qing-An Zeng. All rights reserved.
Some original slides were modified by L. Lilien, who strived to make such modifications clearly
visible. Some slides were added by L. Lilien, and are © 2006-2007 by Leszek T. Lilien.
Requests to use L. Lilien’s slides for non-profit purposes will be gladly granted upon a written
request.
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Chapter 2
Probability, Statistics, and Traffic Theories
Copyright © 2002, Dr. Dharma P. Agrawal and Dr. Qing-An Zeng. All rights reserved
Copyright © 2003, Dharma P. Agrawal and Qing-An Zeng. All rights reserved
2
Outline of Chapter 2
We skip almost all sections in this Chapter
You have to use it on your own if needed (e.g., for your project)
Chapter 2 Contents:
2.1. Introduction
2.2. Basic Probability and Statistics Theories
Random variables
Probability mass function (pmf)
Probability density function (pdf)
Cumulative distribution function (cdf)
Expected value, nth moment, nth central moment, and variance
Some important distributions
2.3. Traffic Theory
Poisson arrival model, etc.
2.4. Basic Queuing Systems
Little’s law
Basic queuing models
Copyright © 2003, Dharma P. Agrawal and Qing-An Zeng. All rights reserved
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2.1. Introduction
Many factors influence the performance of wireless systems:
Density of mobile users
Cell size
Moving direction and speed of users
Defined by mobility models
Call rate, call duration
Interference, etc.
Probability, statistics theory and traffic patterns, help make
these factors tractable
Copyright © 2003, Dharma P. Agrawal and Qing-An Zeng. All rights reserved
4
2.1. Introduction
Many factors influence the performance of wireless systems:
Density of mobile users
Cell size
Moving direction and speed of users
Defined by mobility models
Call rate, call duration
Interference, etc.
Probability, statistics theory and traffic patterns, help make
these factors tractable
Copyright © 2003, Dharma P. Agrawal and Qing-An Zeng. All rights reserved
5
Skipped 2 Subsections
Copyright © 2003, Dharma P. Agrawal and Qing-An Zeng. All rights reserved
6
2.4. Basic Queuing Systems
What is queuing theory?
Queuing theory is the study of queues
Sometimes called waiting lines
Can be used to describe:
Real world queues, or
Abstract queues
Found in many branches of computer science, such as OSs
Basic queuing theory
Queuing theory is divided into 3 main sections:
Traffic flow
Scheduling
Facility design and employee allocation
Much more in the textbook
Copyright © 2003, Dharma P. Agrawal and Qing-An Zeng. All rights reserved
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Skipped all Remaining Subsections
Copyright © 2003, Dharma P. Agrawal and Qing-An Zeng. All rights reserved
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The End of Section 2
Copyright © 2003, Dharma P. Agrawal and Qing-An Zeng. All rights reserved
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