Mobile Communications

Objectives and outcomes

Students learn concepts and acquire knowledge about 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 analyse the principles of 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 of mitigating the degradation effects of fading – linear, nonlinear and adaptive equalisation. Students know the techniques of diversity.


Analysis and design of modern mobile systems and study of contemporary transmission techniques. Log-distancepath loss model. Large-scale and small-scale fading. Impulse response model of a multipath channel. Methods for mitigating fading degradation effects. Linear, nonlinear and adaptive equalisation. 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 length. Doppler frequency shift and coherence length. Rayleigh fading. Rician fading. Transversal filters, zero-forcing equalizer, least- mean-square and recursive least-squares algorithms. Decision feedback equalisers, maximum likelihood sequence estimation.  Adaptive equalisation. Types of diversity. Selection diversity, maximum ratio combining. OFDM, OFDMA, SC-FDMA and corresponding implementations in MATLAB.