Course detail

Wireless Communications

FEKT-MPA-RKOAcad. year: 2025/2026

The course addresses the theoretical apsects of modern radio communication theory. It emphasizes on the comprehension of principles of operation of communication systems. The students significantly improve their knowledge in the area of signal processing applied in communication theory, e.g. the algorithms of signal detection. Students get detailed informations about transmission over radio channel, transmission using the spread spectrum principle, OFDM technique and about MIMO systems. Moreover the students get knowledge on the advanced coding principles - e.g. the turbo and LDPC codes. During the practical computer ecxercises, the students verify the theoretical knowledge using the MATLAB computer simulations.

Language of instruction

English

Number of ECTS credits

5

Mode of study

Not applicable.

Guarantor

prof. Ing. Roman Maršálek, Ph.D.

Department

Department of Radio Electronics (UREL)

Offered to foreign students

The home faculty only

Entry knowledge

The student who registers the course should be able to explain the basic terms from the area of probability and statistics, describe mathematicaly basic analogue and digital modulation techniques, create a simple program in the MATLAB environment, compute the response of linear systems to input, discuss the basic terminology and methods from the signal processing theory

Rules for evaluation and completion of the course

up to 15 points for PC-lab homeworks
up to 15 points for numerical homeworks
up to 70 points for final exam (40 points written part, 30 points oral part)
Detailed informations will be specified in the e-learning system

the computer in-class excercises are compulsory

Aims

The aim of the course is to make students familiar with the wireless communication link, representation of information, signal detection, methods of intersymbol interference supression, advanced coding techniques including Turbo and LDPC, radio channel characteristics, digital keying, synchronization techniques and with properties of OFDM, CDMA and MIMO techniques in communications.
The graduate of the course is able to: (a) choose a suitable filter for intersymbol interference reduction; (b) discuss the methods of optimal reception; (c) explain the principles of modulation techniques; (d) create a MATLAB program simulating the principles of digital communication theory; (e) illustrate the structure of OFDM modulator and demodulator; (f) compute the output of the space-time coders.

Study aids

Not applicable.

Prerequisites and corequisites

Not applicable.

Basic literature

HAYKIN, S., Digital Communication Systems, ISBN 978-0471647355 (EN)
PROAKIS, J. Fundamentals of Communication Systems (2nd Edition), ISBN 978-1292015682 (EN)
PROAKIS, John G. Digital communications. 5th ed. Boston: McGraw-Hill, 2008, xviii, 1150 s. ISBN 978-0-07-295716-7. (EN)

Recommended reading

Not applicable.

Classification of course in study plans

  • Programme MPAD-CAN Master's 2 year of study, winter semester, compulsory-optional
  • Programme MPA-SAP Master's 2 year of study, winter semester, compulsory
  • Programme MPAD-CAN Master's 2 year of study, winter semester, compulsory-optional

Type of course unit

 

Lecture

26 hod., optionally

Teacher / Lecturer

prof. Ing. Roman Maršálek, Ph.D.

Syllabus

1. Radio communication system, radio communication signals, complex envelope.
2. Channel capacity, information theory.
3. Intersymbol interferences, signal shaping, receiver filter.
4. Detection of radio communication signals, hypothesis testing, AWGN channel.
5. Digital modulations I - PSK, BPSK, DPSK, QPSK, OQPSK.
6. Digital modulations II - MQAM, MSK, GMSK, CPM, applications.
7. Spread spectrum systems I - DSSS, FHSS, spreading sequences.
8. Spread spectrum systems II - rake receiver, synchronization.
9. Communication channels and their characteristics, nonlinear channels.
10. Equalizers - ZF, MMSE, DFE.
11. OFDM - modulation using IFFT, cyclic prefix and orthogonality, applications in IEEE 802.11a,g,n.
12. Block and convolutional codes, cyclic codes, turbo codes, concatenated codes, LDPC codes.
13. MIMO systems, space time coding, singular decomposition, Alamouti code, TCM

Exercise in computer lab

26 hod., compulsory

Teacher / Lecturer

prof. Ing. Roman Maršálek, Ph.D.

Syllabus

    1. Introduction to MATLAB
    2. Complex envelope
    3. PSK signals
    4. Optimal receiver
    5. Test
    6. CDMA
    7. OFDM
    8. Wireless channel
    9. Synchronization
    10. FEC Coding
    11. OFDM II
    12. RF wireless chain
    13. Final evaluation