Telecommunication Networks

Ingegneria Informatica Telecommunication Networks

0622700009
DIPARTIMENTO DI INGEGNERIA DELL'INFORMAZIONE ED ELETTRICA E MATEMATICA APPLICATA
EQF7
COMPUTER ENGINEERING
2018/2019

YEAR OF COURSE 2
YEAR OF DIDACTIC SYSTEM 2017
SECONDO SEMESTRE
CFUHOURSACTIVITY
432LESSONS
216EXERCISES
Objectives
The course is aimed to provide the methodological background for understanding modern data networks.

Knowledge and understanding
Modeling of data networks. The concept of layering. Principles of error detection coding. Principles of queueing theory. The cellular architecture.

Applying knowledge and understanding
Modeling and analysis of data networks. Design and implementation of distributed algorithms for communication in data networks. Design and planning for cellular networks, and the GSM architecture.

Prerequisites
MATHEMATICS, PROBABILITY THEORY, FUNDAMENTALS OF DIGITAL COMMUNICATIONS.
Contents
INTRODUCTION TO DATA NETWORKS.
LAYERING. PHYSICAL LAYER. DATA LINK CONTROL LAYER. NETWORK LAYER. TRANSPORT LAYER. DLC TASKS. RETRANSMISSION STRATEGIES. ARQ PROTOCOLS. ERROR DETECTION CODES. CRC.

QUEUEING THEORY
LITTLE’S LAW. CLASSIFICATION OF QUEUES. M/M/1 QUEUE. M/M/M QUEUE. M/G/1 QUEUE: P-K FORMULA.

MULTIPLE ACCESS STRATEGIES
MULTIPLE ACCESS AND SHARED MEDIUM. DETERMINISTIC VS. STATISTIC ACCESS PROTOCOLS. TDMA, FDMA E CDMA. SPREAD SPECTRUM TECHNIQUES. SPREADING FACTOR AND CODING GAIN. PEFORMANCE AND CAPACITY. ALOHA PROTOCOL AND STABILITY ANALYSIS.

THE CELLULAR SYSTEM.
THE CELLULAR CONCEPT. DIMENSIONAMENTO DI UNA RETE CELLULARE. HAND-OFF PROCEDURES. CAPACITY OF A CELLULAR SYSTEM. CO-CHANNEL INTEFERENCE AND ADJACENT CHANNELS INTERFERENC. THE GSM ARCHITECTURE. OVERVIEW OF COMMONLY EMPLOYED WIRELESS NETWORKS.
Teaching Methods
LECTURES PROVIDING THE THEORETICAL BACKGROUND, COMPUTER-BASED DEMONSTRATIONS, CLASSROOM EXERCISES AND HOMEWORK ASSIGNMENTS.
Verification of learning
THE FINAL EXAM IS AIMED TO EVALUATE: KNOWLEDGE AND UNDERSTANDING SKILLS ABOUT THE TOPICS AND CONCEPTS ADDRESSED DURING THE COURSE; THE ANALYSIS AND DESIGN OF DATA NETWORKS AND COMMUNICATION SYSTEMS; LEARNING SKILLS, SCIENTIFIC APPROACH TO COMPLEX PROBLEMS AND INCLINATION TO CRITICAL REASONING. STUDENTS MAY APPLY SUCH SKILLS BY DEVELOPING A PROJECT TO BE ASSIGNED IN GROUPS DURING THE COURSE.

THE EVALUATION IS MAINLY BASED ON AN ORAL EXAMINATION, DEALING WITH THE ASSIGNED PROJECTS AND THE TOPICS ADDRESSED DURING THE COURSE. THE FINAL SCORE WILL TAKE INTO ACCOUNT, ALONG WITH THE QUOTED CRITERIA, THE QUALITY OF THE PRESENTATION.
Texts
D. BERTSEKAS, R. GALLAGER, DATA NETWORKS, PRENTICE HALL, 1992.

J. PROAKIS, DIGITAL COMMUNICATIONS, MCGRAW HILL, 2001.

T. RAPPAPORT, WIRELESS COMMUNICATIONS, PRENTICE-HALL, 2002.
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