Advances in Telecommunication Networks
Anno accademico 2024/2025 - Docente: Sergio PALAZZORisultati di apprendimento attesi
The main learning objectives of this course are as follows:
Knowledge and understanding: Knowledge of advanced topics in networking; knowledge of the fundamentals for the design of network systems and applications.
Applying knowledge and understanding: Acquisition of capability of problem solving and teamwork skills.
Making judgements: Acquisition of self-confidence in assessing the results obtained in applying problem solving.
Communication skills: Ability to present and discuss topics learnt by using proper methodology and speaking English technical language.
Learning skills: Capability to develop and exploit critical knowledge through a variety of learning modalities, ranging from attending frontal lectures, experiencing laboratory activities, and study of reference textbooks.
Modalità di svolgimento dell'insegnamento
The course involves frontal lectures, laboratories, and seminars.
Prerequisiti richiesti
Basic knowledge of the general principles of electrical, electronic, and computing engineering, with specific reference to fundamentals of communications and networking.
Frequenza lezioni
Recommended, though not mandatory.
Contenuti del corso
1. Evolutional trends of networking
Architectural and conceptual issues for the next-generation Internet. Principles of network programmability. Advanced approaches for network control and management. Software Defined Networking (SDN) and Network Function Virtualization (NFV).
2. Advanced network applications
Main application protocols: HTTP, SMTP, DNS. Peer-to-peer applications. Data Center networking. Multimedia network applications: video streaming and Content Delivery Networks.
3. Technologies for wireless access networks
Wireless LANs and ad hoc networks. Vehicular networks. UAVs. Underwater communications. Body and intrabody area networks. Satellite-based networks.
4. Architectures and systems for optical transport networks
Fundamentals of fiber optic communications. Optical switches and routers.
5. Tools for network modeling and design
Network optimization techniques. Machine learning in networking. Game theory.
Testi di riferimento
1) J. Kurose, K. Ross: Computer Networking, Addison-Wesley.
2) A. Tanenbaum: Computer Networks, Prentice-Hall.
3) D. Bertsekas, R. Gallager: Data Networks, Prentice-Hall.
4) A. Pattavina: Internet e Reti - Fondamenti.
Verifica dell'apprendimento
Modalità di verifica dell'apprendimento
Oral discussion (prova orale)
Esempi di domande e/o esercizi frequenti
Le domande riguardano tutti gli argomenti svolti a lezione.
Alcuni esempi:
Main evolutionary trends of the next-generation of Internet. Principles of Software Defined Networking and Network Function Virtualization. Peer-to-peer networks. Video streaming and Content Delivery Networks. Underwater networks. Communication techniques for e-health. Taxonomy of Machine Learning techniques.