Data on the course
521349S Wireless Communications II, 5 ECTS cr  
Code 521349S  Validity 01.01.1950 -
Name Wireless Communications II  Abbreviation WirlssComII 
Scope 5 ECTS cr  
TypeAdvanced Studies Discipline4342 Communications Engineering 
  Grading1 - 5, pass, fail 
Unit Electrical Engineering DP 

Antti-Heikki Tölli 

ECTS Credits 


Language of instruction 



Spring, period 3

Learning outcomes 

1. The student is familiarised with the channel capacity as the fundamental performance measure of wireless communication links, and can explain the effect of fading channel on the capacity in a single-user single-antenna scenarios.
2. The student understands the basic principles for multiuser communications in fading channels, apprehends the notion of capacity region for multi-access and broadcast channels, and is familiarised with different practical multiple access, random access and scheduling methods.
3. The student is acquainted with core principles of adaptive transmission, which requires accurate channel estimates at the receiver and a reliable information exchange mechanisms between the receiver and transmitter. Practical variable-rate variable-power MQAM modulation techniques for fading channels are introduced.
4. The student understands the principles of transmitter and receiver design in the presence of channel distortion. The student is familiarised with various (adaptive) equalization solutions to combat intersymbol interference.
5. Finally, the student is acquainted with the capacity optimal multi-antenna transmission and reception scheme, as well as, with basic multiantenna space-time coding schemes in a single-user multiple-input multiple-output (MIMO) communications scenario.


Capacity of wireless channels, multiuser communications, adaptive modulation and coding, equalization, point-to-point MIMO communications and space-time coding.

Mode of delivery 

Fully remotely,

Learning activities and teaching methods 

Lectures and exercise (total 40 hours) and the compulsory design work with a simulation program (20 h).

Target group 

1st year WCE students and M.Sc. students (i.e., 4th year in ECE degree programme).

Prerequisites and co-requisites 

In addition to courses “521395S Wireless Communications I”, 521348S “Statistical Signal Processing I”, 031025A “Introduction to optimization” and 031051S “Numerical matrix analysis”, a working knowledge in digital communications, random processes, linear algebra, matrix manipulation and detection theory is required.

Recommended optional programme components 

Prior knowledge of 521390S Information Theory and 521392S Convex Optimisation is very useful but not mandatory. The course 521324S Statistical Signal Processing II is recommended to be taken in parallel.

Recommended or required reading 

D. N. C. Tse and P. Viswanath, Fundamentals of Wireless Communication. Cambridge University Press, 2005, Chapters 3-7.
Andrea Goldsmith: Wireless Communications, Cambridge University Press, 2005, Chapters 4, 9-11. 14.                                         Upamanyu Madhow: Fundamentals of Digital Communication, Cambridge University Press, 2008, Chapter 5 (Equalization).
Supporting material: Cover & Thomas, "Elements of Information Theory", John Wiley & Sons; Boyd & Vandenberghe, "Convex Optimization", Cambridge University Press, 2004.

Assessment methods and criteria 

The course is passed with a final examination and the accepted simulation work report. The final grade is a weighted sum of exam (70%), homework (20%), and work report (10%).


The course unit utilizes a numerical grading scale 1-5.

Person responsible 

Antti Tölli

Working life cooperation 


Other information 

Course replaces the old course 521317S Wireless Communications II (8cr).


Current and future instruction
No instruction in WebOodi

Future examinations
No examinations in WebOodi