Introduction: wireless communications concepts, principal wireless communications systems, performance metrics in wireless communications. Wireless channel: large-scale propagation, small-scale propagation, channel capacity and performance of digital modulations. Diversity in wireless communications systems: diversity in time, diversity in frequency, spatial diversity and space-times codes. Wireless communication systems: Multiple access techniques, spread spectrum concept and history of cellular systems from 1G to 5G.
Introduction: History of cellular systems from 1G to 4G. Introduction to 5G: Technical requirements and implementation status. 5G technology operating modes. Main Key Performance Indicators (KPIs) and main systemic measures of 5G systems. Introduction to Massive MIMO, Beamforming, and transmission in millimeter wave channels. Multiple access techniques for 5G systems and beyond. 5G Network Core Topology. Non-Orthogonal Multiple Access (NOMA) techniques: in the power domain and in the code domain. Index Modulation (IM) for 6G systems. Integration de IM and NOMA: IM multiple access (IMMA) for 6G systems. Smart Reflective Surfaces (RIS). RIS-assisted transmission techniques.
IIR and FIR Digital Filters. Shift-invariant linear systems described by difference equations. Internal description of shift-invariant linear systems: type I and type II canonical forms. Bilinear transformation and applications of IIR filter designs. Multirate digital signal processing. Interpolation. Decimation. Filter design and implementation of sampling rate conversion. Implementation of multistage sampling rate conversion. Sampling rate conversion of passband signals. Sampling rate conversion by an arbitrary factor. Digital filter banks. Applications of multirate signal processing. Power spectrum estimation. Estimation of spectra from finite duration observations. Nonparametric methods for power spectrum estimation (Bartlett, Welch and Blackman-Tukey methods). Parametric methods for power spectrum estimation (Yule-Walker, Burg, and least squares methods). Filter bank methods. Eigenanalysis algorithms for spectrum estimation.