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IK1611 Dimensioning of Communication Systems 7.5 credits

The proper design of communication systems is crucial for guaranteeing quality of service in communication networks. Queuing theory is the basis for performance evaluation and dimensioning of communication systems and networks. This course treats queuing systems with an emphasis on the classical models. The theory is applied for solving the practical communication system dimensioning problems.

Course offering missing for current semester as well as for previous and coming semesters
Headings with content from the Course syllabus IK1611 (Spring 2019–) are denoted with an asterisk ( )

Content and learning outcomes

Course contents

The course will cover the following:              

* Terminology, definitions and basic formulas* Basics of probabilistic theory and Markov chains.

* Modeling of communication systems in terms of delay, packet loss probability, system utilization etc.

* Open and closed queuing networks.

* The emphasis will be put on solving practical dimensioning problems for communication systems and networks.

Intended learning outcomes

After the course students shall be able to define the basic queuing models for different communication systems and dimension the systems in terms of router capacity, delay and throughput. This goal is both result oriented and easy to examine.  

Course disposition

No information inserted

Literature and preparations

Specific prerequisites

Basic course in Communication systems

Recommended prerequisites

Basic course in communication systems or computer communication and networks (e.g., 2G1316, 2G1501, or 2G1317)


No information inserted


Queuing Systems, Maria KihlUpplaga: - Förlag: - År: 2006ISBN

: - Övrig litteratur Lecture notes Collection of problems

Examination and completion

If the course is discontinued, students may request to be examined during the following two academic years.

Grading scale

A, B, C, D, E, FX, F


  • INL1 - Assignment, 3.0 credits, grading scale: P, F
  • TEN1 - Examination, 4.5 credits, grading scale: A, B, C, D, E, FX, F

Based on recommendation from KTH’s coordinator for disabilities, the examiner will decide how to adapt an examination for students with documented disability.

The examiner may apply another examination format when re-examining individual students.

Other requirements for final grade

To pass the course one needs to pass a written exam (4.5 credits) and a project work (3 credits). The project work includes solving a real dimensioning problem, writing a report and presenting the result at the seminar.The final grade will be based on the results from the exam and project work. In the Spring semester 2007 grades 2-5 will be applied, i.e., grade 2 corresponds to not passed, grade 3: passed, grade 4: good and grade 5: very good. To pass the course the students shall be able to define the appropriate models for the Markovian systems and to dimension the systems according to these models. For higher grade the students shall be able to treat more complicated systems.

From 2007-07-01 the grades will include seven levels (A, B, C, D, E, Fx, F).

Opportunity to complete the requirements via supplementary examination

No information inserted

Opportunity to raise an approved grade via renewed examination

No information inserted


Profile picture Jiajia Chen

Ethical approach

  • All members of a group are responsible for the group's work.
  • In any assessment, every student shall honestly disclose any help received and sources used.
  • In an oral assessment, every student shall be able to present and answer questions about the entire assignment and solution.

Further information

Course web

Further information about the course can be found on the Course web at the link below. Information on the Course web will later be moved to this site.

Course web IK1611

Offered by


Main field of study


Education cycle

First cycle

Add-on studies

2E1632 Management of Networks and Networked Systems
2G1319 Communication Systems Design
2E1512 Wireless Networks


Jiajia Chen and Lena Wosinska, Course coordinator