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TSKS36 Digital and Wireless Communications

The course provides basic knowledge about problems and methods for construction of digital wireless communication systems. In particular it is illustrated how different forms of signal processing are used for the construction of efficient wireless communication systems. After completed course the student should be able to explain concepts within all parts of the course, as they are described in the course content, and to solve practical problems related to areas within the course content and report on these solutions.

TSKS36

Course materials

  • [AZS’06] Lars Ahlin, Jens Zander, Ben Slimane, Principles of Wireless Communications,Studentlitteratur, 2006.
  • [OB’21] (Additional) Mikael Olofsson, Emil Björnson, Introduction to Digital Communication, 2021.

Lecture plan

  • Lecture 1: Course overview; Introduction to digital wireless communication systems; Mathematical preliminaries ([AZS’06, Chapter 1], lecture note)

  • Lecture 2: Signal propagation; Radio design; Large-scale fading (path loss and shadowing) ([AZS’06, Chapter 2, Sections 3.1, 3.2, 3.8.2, 3.9, 3.10])

  • Lecture 3: Small-scale fading ([AZS’06, Sections 3.3-3.8.1])

  • Lecture 4: Digital communication over frequency-flat channels ([AZS’06, Sections 4.1-4.5])

  • Lecture 5: Digital communication over frequency-selective channels: equalization and sequential ML detection ([AZS’06, Section 4.6], lecture note based on [OB’21, Chapter 7])

  • Lecture 6: Digital communication over frequency-selective channels: OFDM ([AZS’06, Section 4.7])

  • Lecture 7: Diversity, multiplexing, multiple antennas ([AZS’06, Chapter 5])

  • Lecture 8: Error control coding for the radio channel ([AZS’06, Chapter 6])

  • Lecture 9: Multi-user (multiple access) communications ([AZS’06, Chapter 7])

  • Lecture 10: Wireless packet transmissions (ARQ, wireless access protocols) ([AZS’06, Chapter 8])

  • Lecture 11: Wirless cellular networks ([AZS’06, Chapter 9])

  • Lecture 12: Guest seminars on modern topics; Course review

Laboratory

  • Simulate wireless fading channels
  • Channel estimation and data transmissions over the simulated channels
  • Performance evaluation over cellular networks
  • Two helping sesisons, written report

Instructors

Prerequisites

  • From Calculus: Derivatives and integrals.

  • From Probability theory: Most, but with focus on binary distributions and Gaussian distributions.

  • From Digital communications: Fourier transforms, LTI systems, convolution, modulation techniques.

These are fulfilled if you have finished courses on i) Signal Theory and ii) Information and Communications Engineering.

Information for enrolled students

For detailed lecture, tutorial and lab plans, see the course room in: https://liuonline.sharepoint.com/sites/Lisam_TSKS36_2026VT_71