Fall 2023 - EE 381K

Analysis & Design of Communication Networks



We introduce analytical tools need to construct and analyze models for for communication/computer and other networked systems. The focus of the course will be on discussing tools from queueing theory, optimization, and control, as they apply to evaluating the the performance of various types of systems. The course is intended to build upon an introductory graduate course on probability and stochastic processes and one on communication networks (i.e., EE 381J and EE382N ).

Course Topics

(Will cover as many as I can)


This course is intended for graduate students. EE381J Probability and Stochastic Processes or equivalent is a prerequisite for the course. You should also have some background in telecommunication networks, e.g., an undergraduate course on this topic and/or EE382N Communication Networks. If you dont have these prerequisites, you are encouraged to take these first, but may seek permission from the instructor.

Course Web site and Text

Suggested References

Textbooks below cover much of the material we will discuss! And some old standards!

Grading Policy, Homework, Exam and Project Info

Your work in this class will be evaluated based on the following weights: Homeworks will be the core of this class. They will be assigned on a weekly basis and (typically) due Thursday. You may turn in individual homeworks but are encouraged to work in groups of no more than 4 students and turn in a common homework. It is absolutely critical, however, that you make a substantial effort to understand the details of all the homework. In addition may volunteer to help produce/update solutions to one of the homework sets as part of the course participation -- I will work with you on this and it will contribute to your class participation. I will ask you to submit your homeworks and then subsequently also submit your own self-graded using a grading worksheet.

There is a single midterm exam will be closed, i.e., no cheet sheets, notes or books. It will focus on basics. The midterm is planned to be in class.

For the class project you should find a topic you think might be fun/interesting to you and/or complements your research. You can choose to study and presesnt work that has already been done it the past and/or you can define your own variation or research problem. Be ambitious, the aim here is to explore ideas and concepts. See project section on Canvas for ideas on possible topics.

The project involves several stages

The tentative schedule for the exams and project presentations:

Where does this course fit in?

In conjunction with this course, or in the sequel you might consider taking: Performance Evaluation, Stochastic Networks, as well as related courses on Digital Signal Processing; and/or Digital Communications and Optimization of Engineering Systems . You might consider taking Wireless Communications; Advanced Signal Processing; and/or Information Theory.

Note: All departmental, college and university regulations concerning drops will be followed. The University of Texas at Austin provides upon request appropriate academic adjustments for qualified students with disabilities. For more information, contact the Office of the Dean of Students at 471-6259, 471-4241 TDD or the College of Engineering Director of Students with Disabilities at 471-4382.