ECE5145 · Network performance

Overview

This unit addresses the fundamental concepts and analytical tools for modelling, predicting and improving the performance of telecommunication networks. It also introduces simulation methods. First, performance modelling of a packet switch is covered. Then, a comparative analysis of routing algorithms is covered from a graph theory perspective. Third, methods to provide an integrated service to a set of traffic demands with different qualities of service are studied. Then, congestion in telecommunication networks is covered, and the effectiveness of various congestion and flow control algorithms and protocols are investigated. The focus then shifts to individual links and nodes, and queuing theory is introduced and its applications in networks are analysed. Recent advances are studied to show how the analytical and simulation knowledge learnt in this unit could be applied in real-life scenarios.

Areas of study: E6011 Master of Professional Engineering - Specialisation: Electrical engineering E6017 Master of Advanced Engineering - Specialisation: Telecommunications engineering

Offerings

Assessment

The Handbook lists an examination for this unit.

Continuous assessment: 40% Final assessment: 60% This unit contains a hurdle requirement that you must achieve to be able to pass the unit. You are required to achieve at least 45% in the total continuous assessment component and at least 45% in the final assessment component. The consequence of not achieving a hurdle requirement is a fail grade (NH) and a maximum mark of 45 for the unit. The assessments of this unit are designed to demonstrate the achievement of the advanced learning outcomes and standards expected of Master’s level coursework.

Assessment details may change. Please refer to the assessment information in Moodle closer to the start of the teaching period.

Requisites

Learning outcomes

1. Quantitatively assess and predict network performance boundaries using node- or link-based analysis, graph theory and queuing theory-based methods.
2. Analyse, compare and contrast different routing, traffic management, congestion control and flow control algorithms and protocols.
3. Formulate various modelling techniques for the analysis of network performance under increasingly complex usage scenarios.

Workload

The minimum total expected workload to achieve the learning outcomes for this unit is 144 hours per semester typically comprising a mixture of 3-6 hours of scheduled learning activities and 6-9 hours of independent study per week. Scheduled activities may include a combination of teacher-directed learning, peer-directed learning and online engagement. Independent study may include associated readings, assessment and preparation for scheduled activities.

Student experience, not official rules. Nothing here changes what the Handbook says.