Traffic Theory

(German: Nachrichtenverkehrstheorie)

Overview

This course offers the theoretical base and practical methods for modelling, analysis, and performance investigation of communication systems. The students will learn how to use known formulas for traffic theory problems. The abstraction from reality to model will be done for different practical applications and networks.

Topics covered are:

• Introduction and Examples
• Probabilities, Random Distributions, Moments, Properties of distributions
• Random processes
• System modelling using traffic theory, terminology, classification, performance measures
• Little’s law, PASTA, BASTA
• Theory of Marcov chains (discrete and continous time)t
• Examples of communication systems to be analyzed with Markov chains
• Outlook on further tools (matrix analysis, fluid-flow, software tools, Jackson networks, Gordon-Newell, BCMP, Mean value analysis, network calculus (deterministic, stochastic)

Course Schedule

Course could be held partially online due to current corona situation.

Lectures (L) and Exercises (E), without strict pattern:
Tuesdays 07:30-09:00 (weekly)
Thursday 13:00-14:30 (even weeks)
Alternative: Friday 13:00-14:30 (odd weeks)

Module Number

ET-12 10 05
Module Description in Diplomprüfungsordnung

Material

Material is uploaded to OPAL (enrollment needed)

Exam

written, 120min

Exercises

Exercises will be on discussion base between students and teaching assistant to focus on unsolved problems.