Mobile Communications

Objectives and outcomes

Students learn concepts and acquire knowledge of the analysis and design of modern mobile
communication systems. Moreover, they study the principles of contemporary transmission techniques in
these systems. Upon completion of the course, students identify and analyze the principles of
propagation fading (large-scale fading). They understand the effects of small-scale fading and multipath,
flat and frequency selective fading, fast and slow fading, Rayleigh fading, Rician fading. They apply
methods to mitigate the degradation effects of fading – linear, nonlinear and adaptive equalization.
Students know the techniques of diversity.


Analysis and design of modern mobile systems and study of contemporary transmission techniques used
in them. Distance propagation loss model. Large-scale and small-scale fading. Multipath channel
impulse response model methods for mitigating fading degradation effects. Linear, nonlinear and
adaptive equalization. Diversity techniques. Temporal, frequency and spatial diversity. Rake receiver.
MIMO systems. Principles of OFDM and OFDMA. IEEE 802.11n. SC-FDMA. Cognitive radio.

Practical classes

Log-normal shadowing. Percentage of area coverage. Small-scale fading and multipath. Time dispersion
parameters and coherence range. Doppler shift frequencies and coherence times. Rayleigh fading.
Rician fading. Transverse filters, zero-equalizing equalizer, least-mean-square and recursive least-
squares algorithm. Equalization with feedback decision-making, sequence estimation of maximum
likelihood. Adaptive equalization. Types of diversity. Selection diversity, maximum ratio combining.
OFDM, OFDMA, SC-FDMA and corresponding implementations in MATLAB.