Radio Communication

• 26 hrs lectures
• 13 hrs exercises
• 26 hrs pc labs

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, amplitude and phase keying and with properties of OFDM, CDMA and MIMO techniques in communications.
The graduate of the course is able to: (a) represent the signal in the signal space; (b) choose a suitable filter for intersymbol interference reduction; (c) discuss the method of Bayesian statistical detector; (d) explain the principles of modulation techniques; (e) create a MATLAB program simulating the principles of digital communication theory; (f) illustrate the structure of OFDM modulator and demodulator; (g) compute the output of a block space-time coder.

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

• HAYKIN, S., Digital Communication Systems, ISBN 978-0471647355
• PROAKIS, J., Digital Communications, McGraw-Hill Education.
• PROAKIS, J. Fundamentals of Communication Systems (2nd Edition), ISBN 978-1292015682

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.

1. Orthogonality and orthonormality
2. Gramm-Schmidt proces, random signals
3. Digital modulations
4. CDMA
5. OFDM
6. MIMO systems and Alamouti coding

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 

For academic year 2021/2022 following evaluation criteria are valid:
up to 15 points for PC-labs (5 points for activity=work on the assignments, 5 points for Matlab homework, 5 poits for final test)
(in case of online teaching will be replaced by PC homeworks)
up to 10 points for numerical test (in case of online teaching will be replaced by homeworks)
up to 5 points for numerical homeworks
up to 70 points for final exam (50 points written part, 20 points oral part)
Student must get at least 22 points for written part to qualify for the oral part of final exam. Detailed informations will be specified in the e-learning system
the computer in-class excercises are compulsory