Electronic engineering for the internet-of-things
Study-unit Code
Consumer and aerospace iot
Luca Rugini
  • Luca Rugini
  • 48 ore - Luca Rugini
Course Regulation
Coorte 2023
Learning activities
Attività formative affini o integrative
Academic discipline
Type of study-unit
Opzionale (Optional)
Type of learning activities
Attività formativa monodisciplinare
Language of instruction
Physical layer of digital radio transmissions for the Internet of Things and for satellite communications: digital modulations, channel models for digital communications, multicarrier transmissions, multiantenna transmissions.
Reference texts
- J. G. Proakis, M. Salehi, Digital Communications, 5th edition, McGraw-Hill, 2008.
- B. Sklar, Digital Communications: Fundamentals and Applications, 2nd edition, Pearson, 2013.
- J. R. Barry, E. A. Lee, D. G. Messerschmitt, Digital Communication, 3rd edition, Springer, 2004.
- J. B. Anderson, Digital Transmission Engineering, 3rd edition, Wiley-IEEE Press, 2005.
- B. Rimoldi, Principles of Digital Communication: A Top-Down Approach, Cambridge University Press, 2016.
Educational objectives
The main aim is to transfer some basic knowledge about analysis and design of digital communication systems. The acquired knowledge is mainly about:
- analysis and comparison of bandpass digital modulations and of their requirements in terms of error probability, signal-to-noise ratio, bandwidth, bit rate, spectral efficiency, computational complexity;
- analysis and comparison of channel models for digital transmission systems;
- analysis and comparison of digital systems based on multicarrier transmissions and on multiantenna transmissions.

The acquired skills are:
- design of optimum and suboptimum receivers for digital modulations;
- estimation of the performance of digital transmission schemes in additive white Gaussian noise channels;
- design of system parameters (probability of error, signal-to-noise ratio, bit rate, bandwidth, modulation and coding schemes) for a given channel model and choice of appropriate channel model for a given transmission scheme;
- choice of system parameters for multicarrier transmission systems and for multiantenna systems.
The course of Digital Transmission Systems will make use of basic concepts of signals, systems, and probability, with specific reference to:
- signals (continuous-time, discrete-time, deterministic, random, energy, power, baseband, passband) and related properties (sampling, orthogonality, autocorrelation, power spectral density, stationarity);
- systems (linear, nonlinear, causal, noncausal, permanent, non permanent, stable, unstable) and related properties (impulse response, transfer function);
- probability and random variables (conditional probability, continuous random variables, discrete random variables, probability density, expected value, variance and standard deviation, correlation, statistical independence).
Teaching methods
Face-to-face lessons in the classroom on all the course subjects, with support of slides (available to students).
Other information
For additional information, please contact the teacher by email (luca.rugini@unipg.it).
Learning verification modality
The exam consists in an oral test. The aim of the oral test is to verify the student's knowledge and understanding about the course programme, and the student's ability to clearly expose the course programme subjects. The test has a duration of roughly 45 minutes, with a maximum mark of 30 points.

For information about facilities for students with special needs, please visit the webpage
Extended program
1) Digital modulations - Baseband representation of bandpass signals, signal space concepts, amplitude and phase modulations (PSK, QAM), frequency modulations (FSK), maximum-likelihood receiver for AWGN channels, probability of (symbol and bit) error, spectral occupancy and spectral efficiency, comparison among modulation schemes for bandlimited systems and for power-limited systems. Notes on synchronization, differential PSK modulations, noncoherent receivers for AWGN channels. Digital modulations for the Internet of Things.

Channel coding - Types of channel coding, example of convolutional encoding and decoding (Viterbi algorithm).

2) Channel models for digital communications -
Types of channels for digital communications, link budget, free space propagation, large-scale fading, small-scale fading, multipath, delay spread, frequency-selective fading channels, Doppler effect. Fading countermeasures: equalization, diversity techniques. Channel models for the Internet of Things.

3) Multicarrier transmissions - Channel capacity for multipath channels. OFDM: subcarrier spacing, duration of the OFDM symbol, cyclic prefix, use of FFT, equalization of multipath channels, drawbacks of multicarrier techniques, applications. Multicarrier techniques for the Internet of Things.

4) Multiantenna trasmissions - Digital trasmission systems with multiple antennas: MISO, SIMO and MIMO systems, channel capacity for MIMO channels, diversity-multiplexing tradeoff for MIMO systems, space-time coding and Alamouti scheme, multiantenna systems in frequency-selective fading channels (MIMO-OFDM), multiantenna systems for the Internet of Things.
Obiettivi Agenda 2030 per lo sviluppo sostenibile
Goal 9: Industry, innovation and infrastructure. Target 9.5: Enhance scientific research, upgrade the technological capabilities of industrial sectors in all countries, in particular developing countries, including, by 2030, encouraging innovation and substantially increasing the number of research and development workers per 1 million people and public and private research and development spending.
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