Prerequisites
You will need to have had a Graduate Level course in Probability and Random Processes,
know a significant amount about Telecommunication and Wireless Network technology, and
to have taken a course; exposing you to the basics of Queueing theory
or Performance Evaluation. In addition some background
in Optimization would also be useful. This is an advanced course,
which for the most part should be taken by 2nd-3rd year graduate students in ECE, CS or
OR. Expect it to be quite challenging but hopefully rewarding too!
Some Texts and Selected Papers
My course notes/lectures will cover the (sometimes heavy) background required
to reach a point where you understand and can use these tools. This is a bit of a mix of
topics!
- Stochastic Geometry and its Applications, D. Stoyan, W. Kendall and J. Mecke, J. Wiley & Sons, 1995.
- Lectures on Random Voronoi Tessellations, J. Moeller, Springer-Verlag, 1994.
- Poisson Processes, J.F.C. Kingman, Clarendon Press - Oxford, 1993.
- Stochastic geometry and architecture of communication networks, F. Baccelli et. al, J. Telecom. Systems, No 7, pp 209-227, 1997.
- Comparison methods for stochastic models and risks, A. Muller and D. Stoyan, Wiley 2002.
- Probability Approximations via the Poisson Clumping Heuristic , David Aldous, Springer Verlag, 1989
- A collection of papers related to recent applications will be available on the course web site
Format/Evaluation
You will be responsible for all material presented in class and strongly encouraged
to participate in class discussions. There will be some homework, and I will
give you a few quizzes to check you are learning/digesting what we have discussed
in class.
You will be required to do a small project for the class. I will provide general problem
areas and support papers to help you get started. You can work in teams of no more than two.
You will be required to make two presentations.
The first presentation, will be a problem/research statement plus an overview
of the state of the art on your topic.
The final presentation
a follow on explaining what results
you were able to obtain. All students will be expected to present.
The final presentations will be part of a class "mini-symposium" that will take
place at the end of the term. We will
run it like a formal conference, with strict time deadlines, and invite faculty
and students to attend.
Your grade will be based 30% on two quizzes, 20% homework and class participation,
and 50% on your presentations and project.
Where does course fit in?
This course is intended to build on your own background and interests as well as
material in Probability and Random Processes,
Communication Networks: Analysis and Design, Information Theory and Optimization.
Note: All departmental, college and university regulations
concerning drops will be followed. The University of Texas at Austin provides
upon request appropriate academic accommodations for qualified students
with disabilities. For more information, contact the Office of the Dean
of Students at 471-6259, 471-4641 TTY.