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EP2950 Wireless Networks 7.5 credits

Administer About course

Wireless networks have revolutionized our ways of communicating, interacting, and working. They will continue to have huge impact in the future, in the Internet of Things era, where everything that can benefit from a communication network will be connected. This course discusses the fundamental issues of wireless networking, with examples from cellular, local area and sensor networks. The course focuses on use of mathematical modeling for network protocol design, providing the necessary theoretic tools for future studies and research in the area.

The course also explains and motivates the design of national and international standard solutions for mobile, local area and sensor networks.

Information per course offering

Choose semester and course offering to see current information and more about the course, such as course syllabus, study period, and application information.

Termin

Information for Spring 2026 Start 16 Mar 2026 programme students

Course location

KTH Campus

Duration
16 Mar 2026 - 1 Jun 2026
Periods
P4 (7.5 hp)
Pace of study

50%

Application code

60477

Form of study

Normal Daytime

Language of instruction

English

Course memo
Course memo is not published
Number of places

Places are not limited

Target group

Open to all programmes as long as it can be included in your programme.

Planned modular schedule
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Schedule
Schedule is not published

Contact

Examiner
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Course coordinator
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Teachers
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Course syllabus as PDF

Please note: all information from the Course syllabus is available on this page in an accessible format.

Course syllabus EP2950 (Spring 2019–)
Headings with content from the Course syllabus EP2950 (Spring 2019–) are denoted with an asterisk ( )

Content and learning outcomes

Course contents

The course addresses principles, modelling, system solutions, and performance analysis for data communication in wireless networks and covers:

  • the fundamental issues of wireless networking;
  • cellular networks: the cellular concept, frequency, channel and power allocation, handover, the LTE architecture;
  • WLANs: random access, hidden and exposed terminals, rate selection and error control, quality of service, architecture and standards;
  • sensor networks:  energy modeling, duty cycling, energy harvesting, multihop; communication, standards. 

Intended learning outcomes

After passing this course, participants should be able to:

  • reason about the challenges of wireless network design
  • apply mathematical tools to design and optimize wireless network protocols
  • explain and motivate the design of standard solutions for mobile, local area and sensor networks
  • discuss ongoing research and development in the area of wireless networking 

Literature and preparations

Specific prerequisites

For single course students: 120 credits and documented proficiency in English B or equivalent. 

Recommended prerequisites

Basic networking knowledge, EP2120 Internetworking, or equivalent, basic knowledge on markovian models, EP2200 Queuing theory and teletraffic systems, or equivalent.

Literature

Selected parts of books on wireless networks. 

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

Examination

  • PRO1 - Project, 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

Written exam (TEN1, 4,5p), grades A/B/C/D/E/Fx/F.
Lab assignment (LAB1 3p), grades Pass/Fail.

Examiner

Profile picture Carlo Fischione

Profile picture Gabor Fodor

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 room in Canvas

Registered students find further information about the implementation of the course in the course room in Canvas. A link to the course room can be found under the tab Studies in the Personal menu at the start of the course.

Offered by

EECS/Computer Science

Main field of study

Electrical Engineering

Education cycle

Second cycle

Supplementary information

In this course, the EECS code of honor applies, see: http://www.kth.se/en/eecs/utbildning/hederskodex.