28848 - Telecommunications Systems T-1

Academic Year 2017/2018

  • Docente: Marco Chiani
  • Credits: 9
  • SSD: ING-INF/03
  • Language: Italian
  • Moduli: Marco Chiani (Modulo 1) Barbara Mavì Masini (Modulo 2)
  • Teaching Mode: In-person learning (entirely or partially) (Modulo 1); In-person learning (entirely or partially) (Modulo 2)
  • Campus: Bologna
  • Corso: First cycle degree programme (L) in Electronics and Telecommunications Engineering (cod. 0923)

Learning outcomes

The course aims at laying the foundation for the design and characterization of modern digital wireless communication systems, giving the basic elements of random processes, statistical models of noise, spectrum of random digital signals, receiver architecture, error rate analysis.

Course contents

Statistical inference for transmission of information. Random processes, stationarity, ergodicity, Poisson processes, Markov chains, estimation and prediction. Physics of noise, statistical models of noise, spectrum of random digital signals. Receiver architecture, the matched filter, intersymbol interference, eye diagrams, error rate analysis.

Readings/Bibliography

L. Calandrino, M. Chiani, Lezioni di Comunicazioni Elettriche, Pitagora Editrice, Bologna.

Appunti di SISTEMI DI TELECOMUNICAZIONE. Sistemi di trasmissione digitali in banda base. Ed. Progetto Leonardo, Bologna.

Appunti di SISTEMI DI TELECOMUNICAZIONE. Sistemi di trasmissione digitali passabanda. Ed. Progetto Leonardo, Bologna.

Additional readings:

A. Papoulis, S. U. Pillai, Probability, Random Variables, and Stochastic Processes, McGraw-Hill, New York, 2002.

A.B. Carlson, P.B. Crilly, Communication Systems, McGraw-Hill, New York, 2009.

A.V. Oppenheim, A.S. Willsky, S.H. Nawab, Signals and Systems, Prentice-Hall, NJ, 1996.

Taub Schilling, Principles of Communication Systems, Mc Graw-Hill

M.Schwartz, Information, Transmission, Modulation and Noise, McGraw-Hill

B. Sklar, Digital Communications, Fundamental and Applications, Prentice Hall

J.G. Proakis, M.Salehi, Communication System engineering, Prentice Hall

Teaching methods

Lectures in classroom and experiments in laboratory.

Assessment methods

Written and oral exam.

Office hours

See the website of Marco Chiani

See the website of Barbara Mavì Masini