Course detail

Wireless Communications

FEKT-GTRKAcad. year: 2019/2020

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 improve their knowledge in the area of signal processing applied in communication theory, e.g. the algorithms of signal space representation. Students get detailed informations about transmission over fading channel, transmission using the spread spectrum principle, OFDM technique and MIMO systems. During the practical computer ecxercises, the students verify the theoretical knowledge using the MATLAB computer simulations.

Learning outcomes of the course unit

The graduate of the course is able to: (1) represent the signal in the signal space, (2) discuss the method of Bayesian statistical detector, (3) create a MATLAB program simulating the principles of digital communication theory, (4) illustrate the structure of OFDM modulator and demodulator, (5) discuss the MIMO principle, (6) compute the output of a block space-time coder.

Prerequisites

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

Co-requisites

Not applicable.

Recommended optional programme components

Not applicable.

Recommended or required reading

HAYKIN, S. Digital Communications, John Wiley & sons, 1998. (EN)
PROAKIS J.G. Digital Communications. 3. vyd. New York: Mc.Graw-Hill Book, 1995. (EN)
CHIEN, Ch. Digital Radio Systems on a Chip. A system approach. Norwell: Kluwer Academic Publishers, 2001. (EN)

Planned learning activities and teaching methods

Teaching methods include lectures and computer laboratories in MATLAB simulation software.

Assesment methods and criteria linked to learning outcomes

up to 15 points for computer in-class excercises
up to 15 points for written test during semester
up to 70 points for final exam

Language of instruction

English

Work placements

Not applicable.

Course curriculum

Lectures:
1. Radio communication system, radio communication signals, complex envelope.
2. Channel capacity, information theory.
3. Detection of radio communication signals, hypothesis testing, AWGN channel.
4. Application of detection theory in radio communications.
5. Spread spectrum systems I - DSSS, FHSS, spreading sequences.
6. Spread spectrum systems I - rake receiver, synchronization.
7. Communication channel characteristics, equalizers, nonlinear channels.
8. UWB communications.
9. OFDM - principle, modulation using IFFT, cyclic prefix and orthogonality, applications in IEEE 802.11a,g. UW-OFDM and SC-FDMA, application in LTE.
10. Synchronization and equalization in OFDM, MB-OFDM and MC-CDMA systems.
11. MIMO systems, space time coding, singular decomposition, Alamouti code, TCM.
12. Trends in communications - massive MIMO, FBMC.
13. Radio transceiver imperfections and their modeling - IQ imbalances, nonlinearities, phase noise.

Computer excercises:
1. Complex envelope.
2. ISI.
3. Optimal receiver.
4. Synchronization.
5. CDMA.
6. OFDM - principle.
7. Radio channel.
8. RF chain.
9. OFDM II - influnce of RF parameters.
10. UWB principles.
11. Coding.
12. FBMC modem.

Aims

The aim of the course is to make students familiar with the wireless communication link, representation of information, signal detection, fading channel characteristics and with properties of OFDM, CDMA, MIMO and UWB systems.

Specification of controlled education, way of implementation and compensation for absences

the computer in-class excercises are compulsory

Classification of course in study plans

  • Programme TECO-G Master's

    branch G-TEC , 1. year of study, winter semester, 5 credits, compulsory

Type of course unit

 

Lecture

26 hours, optionally

Teacher / Lecturer

Exercise in computer lab

26 hours, compulsory

Teacher / Lecturer

eLearning