Mobile Systems

The basic model of digital transmission. Basic concepts of information theory (probability, information, random variables, information sources, entropy, redundancy). Lossless source coding (elimination of redundancy). Loosely source coding (elimination of irrelevance). Information channel. Binary symmetric channel. Gaussian channel. Mutual entropy and information channel capacity. Channel coding. Error detecting and error correcting codes. Examples of channel coding (uncoded transmission, block codes, convolution codes, trellis diagram). Maximum likelihood decoding. Viterbi algorithm.

   Baseband transmission.  Linear distortion and inter-symbol interference (ISI). The Nyquist criterion for ISI free transmission. Adaptive equalization and ISI cancellation. The spectrum of baseband signals and spectral efficiency.

   Transmission of signals in the higher frequency bands. Digital modulation (amplitude, phase, and frequency modulation). Examples of digital modulation (PAM, FSK, PSK, DPSK, CPM, MSK, GMSK, QAM). Spread spectrum. Multiple access to a common transmission medium.

The course provides basic knowledge in the field of the transmission of information signals, which is the basis of all modern communication systems. The purpose of the course is to acquaint the future engineers with the theoretical basics of efficient and reliable transmission of digital signals through the non-ideal communication channel. The theory provides a useful basis for the subjects in the second degree of the study. In addition to the theoretical foundations, an overview of existing solutions is given, which gives the students a basic understanding of the existing communication systems faced in their everyday life.

Lectures on which the student is acquainted with the theoretical basics and lab work, where he learns how to solve some practical problems in the spirit of teamwork.