Traffic Aspects of Telecommunication Systems

 Reference EHPOOL00000265 Taught in Elective Course List for Master of Electrical EngineeringElective Course List for Master of Computer Science Engineering Theory (A) 15.0 Exercises (B) 15.0 Training and projects (C) 0.0 Studytime (D) 120.0 Studypoints (E) 4 Level Credit contract? Access is determined after successful competences assessment Examination contract? Access is determined after successful competences assessment Credit contract mandatory if Exam contract? Course included in exam contract Retake possible? Yes Teaching Language Dutch Lecturer Sabine Wittevrongel Department TW07 Co-lecturers Herwig Bruneel
Key Words

discrete-time queueing theory, performance evaluation

Position of the Course

Introduction to more advanced queueing theoretic techniques in discrete time for the modelling, the performance evaluation, the dimensioning and the design of subsystems in nowadays integrated communication networks.

Contents

• Multiplexers and switching systems: buffer models in discrete time
• Elementary buffer analysis
• Modelling of information streams
• Analysis of more complicated models: Correlated and bursty arrivals, Variable transmission times, Server interruptions, Priority systems

Starting Competences

Mandatory: elementary probability theory (see e.g. course Probability and statistics), elementary queueing theory in discrete time (see e.g. course Queueing theory); useful: elements of stochastic processes in general and Markov chains in particular (see e.g. course Discrete systems)

Final Competences

To be familiar with concepts such as buffers, multiplexers, switching systems, telecommunication networks, discrete-time buffer systems, buffer content, delay, performance measures. To be familiar with basic properties of discrete-time queueing theory such as the equilibrium condition and Little's law.

To know the meaning of various models of information streams (on/off sources, Markov modulated arrival processes, train arrivals, batch renewal processes).

To understand techniques for buffer analysis and to be able to apply them. To have insight into the use of probability generating functions for the analysis of discrete-time buffer systems. To be able to analyse discrete-time buffer systems with correlated arrival processes, simple buffer models with variable transmission times, buffers with output interruptions and simple buffer systems with a priority discipline.

To have insight into results of buffer analysis. To understand the influence of correlation in the arrival or output process, output interruptions or priority disciplines on the buffer behavior.

Teaching and Learning Material

References

• H. Bruneel, B.G. Kim, "Discrete-time models for communication systems including ATM" (Kluwer Academic Publishers, Boston, 1993)

Study Coaching

By the lecturer and assistants: contacts are possible during or after the lectures and problem solving sessions

Teaching Methods

Classroom lectures; Classroom problem solving sessions; Homework assignments

Evaluation Methods

Evaluation during examination period

Examination Methods

During examination period: written open-book exam