Content, progress and pedagogy of the module

Learning objectives

Knowledge

The students must have insight in:

• Layering architecture and impact of lower layers on higher layers performance
• Cellular networks, including cellular architectures, frequency reuse and resource management
• Reliability concepts and analysis
• Traffic modelling including heavy tailored behavior
• Queueing models
• Information theory
• Discrete event simulation

Skills

The students must be able to

• having understanding of different network architectures
• Apply probabilistic models to reliability analysis of a distributed system
• apply simple and advanced traffic and queuing models, in performance analysis of real-life traffic systems
• Develop a discrete event simulator for performance assessment of a distributed system

Competences

The students must be able to:

• select the appropriate reliability, queuing and traffic models to be used in the modeling of a specific system, analyse them and apply
• design an abstract communication system chain and protocol stack, and justify the design choices in relation to the intended use case

Type of instruction

As described in §17

Exam

Exams