Theory of the communication systems
Study programs
Teaching information
Teaching form
Lecture, Laboratory exerciseStudy method
AttendanceLanguage
slovenskýHours per week (full-time)
2,2Hours per semester (part-time)
LS 26,26Teachers
Dr. h. c. prof. Ing. Anton Čižmár, CSc. Ing. Kristián Sopkovič
Schedule
Learning outcomes
- The student will gain basic knowledge in the field of communication systems theory and modern digital modulation methods. - Understand the principles of modulation techniques suitable for new generations of mobile communication systems, such as 5G networks, IoT, AI, etc. - They will learn to design communication systems, modulation and demodulation techniques and compare different digital methods by computer means. - Can practically apply the acquired skills in the environment of the most modern laboratory technology on professional simulation tools and software (OPNET, MATLAB, TIMs). - Completion of the course will expand the student's basic theoretical knowledge usable in a wide range of IT, fixed and mobile networks, or broadband systems. - The main emphasis is on developing the ability to analyze different types of transmission communication channels and systems, depending on the design of modern digital modulation techniques.
Course outline
Main areas: I. Basic blocks of communication systems and their characteristics II. Classification of signals and their spectra III. Probability and stochastic processes IV. Signal space of digitally modulated signals V. Spectral characteristics of digitally modulated signals VI. Optimal receivers for signals affected by AWGN noise VII. Design examples of uncoded and coded modulation systems More detailed specification of individual areas: 1. Basic blocks of digital communication system, criteria of optimal digital communication system 2. Shannon limit (-1.6 dB) and its importance in communication systems 3. Transmission channel capacity according to Shannon's law - noise channel and according to Hartley's Law - Noiseless Channel 4. AWGN transmission channel, white noise, thermal noise, spectral power density, white noise autocorrelation function 5. Representation of signals in vector space (signal constellation diagram), orthogonality of signals, energy of signal element, Euclidean distance and its meaning 6. Basic properties of digital modulations ASK, FSK, OFDM, PSK, QAM, binary and M-ara types modulation, advantages and disadvantages 7. Comparison of frequency spectra for selected types of modulations (ASK, PSK, FSK, OFDM, QAM) 9. Statistical parameters of random (stochastic) signals (first and second moment, central moment, correlation) 8. Error probability Pe versus signal energy ratio per bit Eb / No for selected types modulation (error probability plane) 10. Spectral bit rate R / B (bit / s / Hz) versus signal energy to bit Eb / No ratio (bandwidth efficiency plane)
Completion conditions
Assessment and completion of the course: Credit test and examination Continuous assessment: Student passes the continuous assessment and receives credits when he or she meets the requirement to obtain at least 21% out of 40%. Credit test Final assessment: Student passes the final assessment and passes the examination when he or she meets the requirement to obtain at least 31% out of 60%. Examination Overall assessment: Overall assessment is the sum of the assessments obtained by students in the assessment period. The overall result is determined in accordance with the internal regulations of the Technical University in Košice. (Study Regulations, the internal regulation principles of doctoral studies)
Recommended literature
[1] John G. Proakis, Masoud Salehi Fundamentals of Communication Systems Prentice Hall (2013) [2] Ali Grami: Introduction to Digital Communications. Elsevier, ISBN 978-0-12-407682-2, 2016 [3] Cizmar,A-Papaj,J: Theory of Telecommunications Networks, http://kemt.fei.tuke.sk/wp-content/uploads/TTS/TTS_chapter1.pdf, ...chapter7.pdf [4] Guimaraes, D. A.: Digital Transmission, ISBN 978-3-642-01358-4, 2009, [5] Kay, S.: Intuitive Probability and Random Processes using MATLAB, ISBN 978-0-387-24158-6, 2006 [6] Barkat, M.: Signal Detection and Estimation, Second Edition, ISBN 1-58053-070-2, 2005, [7] Proakis,J.G.: Digital Communications - 4th edition, McGraw-Hill, ISBN 0071181830, 2000,
Notes
To successfully complete the course, it is necessary to obtain a credit and successfully pass the exam. This includes the student's participation in educational activities of direct teaching, lectures, exercises, as well as independent study and independent creative activity of the student in processing the semester assignment / assignments, project on a specified topic, to a specified extent, in a specified design of a total of 180 hours intensity of the student's work per semester.
Grade distribution
Total graded students: 255