84264 - Principles of Telecommunications T-1

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

Module I: Random processes and noise

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.

Module II: Digital communication systems

The module aims at laying the foundation for the design and characterization of modern digital wireless communication systems.

At the end of the course, the student will be able to dimension a wireless link. For example, he/she will be able to evaluate the wireless system error rate, the maximum link distance, the minimum transmission power to achieve a target quality of service.

The summary of the themes covered along the course is provided in the following.

- Introduction to modern telecommunication systems

- Base band digital transmission systems

· Matched filter

· PAM systems: intersymbol interference and equalization

· Error probability

- Band pass digital transmission systems: L-ASK and M-QASK modulations

- The wireless channel

- Next wireless communication systems at a glance.

Readings/Bibliography

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

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

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

Teaching methods

• Lectures in class
• Use of software implementation of telecommunications blocks and links studied during the course  

Assessment methods

• written text
• oral interview

Teaching tools

• Slides
• Matlab

Office hours

See the website of Alessandro Vanelli Coralli