TM8102 - Traffic Analysis of Communication Networks


Examination arrangement

Examination arrangement: Approved report
Grade: Passed / Not Passed

Evaluation Weighting Duration Grade deviation Examination aids
Approved report 100/100

Course content

The course is given every second year, next time spring 2024. The course addresses analysis and design of communication networks by means of queue and stochastic theory. Topics are: Queuing theory and network calculus. Model and problem formulations for communication networks, such as Time Sensitive Networks and Deterministic Networks. Source models and traffic characterization. Server models. Analysis of delay and loss, dimensioning of links and nodes, optimization. Strategies for traffic handling, scheduling, routing, and control.

Learning outcome

A. Knowledge: 1) A broad knowledge of network mechanisms contributing to the provision of quality of service in communication networks. 2) An in-depth understanding of analytical models and methods in describing, studying and understanding traffic and traffic handling in communication networks, which include classical queueing analysis methods and network calculus. B. Skills: 1) To be able to communicate, reason and creatively think about traffic issues in communication networks. 2) To be able to quantitatively model and evaluate communication networks with respect to quality of service guarantees using classic queueing theory and / or traffic theories for communication networks.

The learning outcomes of TM8102 are directly related to UN Sustainable Development Goal (SDG) 9 (9.1: Develop sustainable, resilient and inclusive infrastructures, and 9.5: Enhance research and upgrade industrial technologies), and also contribute to goal 4 (4.7: Education for sustainable development and global citizenship).

Learning methods and activities

Lectures, self study, colloquia, and assignments.

Further on evaluation

The assessment is based on a final report. The grading rule is passed/failed. The minimum passing grade is 70/100 points (70%). If there is a re-sit examination, the examination arrangement may be changed to oral exam.

Course materials

Announced at the beginning of the course. Selections from text books and papers.

Credit reductions

Course code Reduction From To
DIE5935 7.5
More on the course



Version: 1
Credits:  7.5 SP
Study level: Doctoral degree level


Term no.: 1
Teaching semester:  SPRING 2024

Language of instruction: English

Location: Trondheim

Subject area(s)
  • Telecommunication
  • Telematics
Contact information
Course coordinator:

Department with academic responsibility
Department of Information Security and Communication Technology


Examination arrangement: Approved report

Term Status code Evaluation Weighting Examination aids Date Time Examination system Room *
Spring ORD Approved report 100/100 INSPERA
Room Building Number of candidates
  • * The location (room) for a written examination is published 3 days before examination date. If more than one room is listed, you will find your room at Studentweb.

For more information regarding registration for examination and examination procedures, see "Innsida - Exams"

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