Paolo ADDESSO | COMMUNICATION NETWORKS
Paolo ADDESSO COMMUNICATION NETWORKS
cod. 0623300009
COMMUNICATION NETWORKS
| 0623300009 | |
| DEPARTMENT OF INFORMATION AND ELECTRICAL ENGINEERING AND APPLIED MATHEMATICS | |
| EQF7 | |
| ELECTRICAL ENGINEERING FOR DIGITAL ENERGY | |
| 2024/2025 |
| OBBLIGATORIO | |
| YEAR OF COURSE 1 | |
| YEAR OF DIDACTIC SYSTEM 2023 | |
| SPRING SEMESTER |
| SSD | CFU | HOURS | ACTIVITY | |
|---|---|---|---|---|
| ING-INF/03 | 4 | 32 | LESSONS | |
| ING-INF/03 | 1 | 8 | EXERCISES | |
| ING-INF/03 | 1 | 8 | LAB |
| Objectives | |
|---|---|
| THE COURSE FOCUSES ON METHODS AND TECHNIQUES TO UNDERSTAND THE OPERATION OF COMMUNICATION NETWORKS. KNOWLEDGE AND UNDERSTANDING DEVICES AND COMMUNICATION NETWORKS – WORKING PRINCIPLES. MAIN ARCHITECTURES AND DATA TRANSMISSION PROTOCOLS FOR ELECTRICAL SYSTEMS AND SMART GRIDS. CODING AND DATA PROCESSING FOR RELIABILITY AND SECURITY OF NETWORK COMMUNICATIONS. INTELLIGENT DEVICES FOR SMART METERING – WORKING PRINCIPLES. DATA EXCHANGE BETWEEN DEVICES AND OTHER NETWORK INFRASTRUCTURES. APPLYING KNOWLEDGE AND UNDERSTANDING SELECTING SUITABLE DEVICES AND ARCHITECTURES FOR SPECIFIC DATA TRANSMISSION PROBLEMS. CONFIGURING SIMPLE DATA TRANSMISSION NETWORKS IN ELECTRICAL SYSTEMS FOR THE INTERCONNECTION OF METERING, CONTROL, AND SMART DEVICES. SELECTING SMART METERING SYSTEMS BASED ON INTELLIGENT SENSORS FOR DATA ACQUISITION IN ELECTRICAL APPLICATIONS. |
| Prerequisites | |
|---|---|
| APPROPRIATE MATHEMATICAL BACKGROUND. |
| Contents | |
|---|---|
| DIDACTIC UNIT 1: DIGITAL SIGNALS (TOTAL LECTURE/PRACTICE/LABORATORY HOURS 6/2/2) -1 (2 HOUR LECTURE): INTRODUCTION. CONCEPT AND REPRESENTATION OF A “SIGNAL”. ANALOG AND DIGITAL SIGNALS. -2 (2 HOUR LECTURE): DIGITAL COMMUNICATIONS. ANALOG/DIGITAL (A/D) CONVERSION. BANDWIDTH AND ENERGY REQUIREMENTS. -3 (2 HOUR LECTURE): SPECTRAL ANALYSIS AND SIGNAL FILTERING. -4 (2 HOUR PRACTICE): A/D CONVERSION. -5 (2 HOUR LABORATORY): SPECTRAL ANALYSIS AND SIGNAL FILTERING. KNOWLEDGE AND UNDERSTANDING BASIC ELEMENTS FOR DIGITAL SIGNALS REPRESENTATION AND PROCESSING. APPLYING KNOWLEDGE AND UNDERSTANDING IMPLEMENTATION VIA SOFTWARE TOOLS OF SIMPLE ALGORITHMS FOR THE REPRESENTATION AND PROCESSING OF DIGITAL SIGNALS. DIDACTIC UNIT 2: TRASMISSION (TOTAL LECTURE/PRACTICE/LABORATORY HOURS 10/2/2) -6 (2 HOUR LECTURE): SIGNAL SPACE. DIGITAL MODULATIONS AND DECISION CRITERIA. -7 (2 HOUR LECTURE): PAM AND PPM MODULATIONS. -8 (2 HOUR LECTURE): PSK, QAM, AND FSK MODULATIONS. -9 (2 HOUR LECTURE): ELEMENTS OF PROBABILITY. RANDOM VARIABLES. PMF, CDF, AND PDF. -11 (2 HOUR LECTURE): USEFUL DISTRIBUTIONS. NOISE (DEVICES AND CHANNELS). -11 (2 HOUR PRACTICE): PERFORMANCE OF DIGITAL MODULATIONS. -12 (2 HOUR LABORATORY): SIMULATION OF DIGITAL MODULATIONS. KNOWLEDGE AND UNDERSTANDING BASIC ELEMENTS FOR DIGITAL TRANSMISSIONS. APPLYING KNOWLEDGE AND UNDERSTANDING EXAMINING REQUIREMENTS AND PERFORMANCE OF THE MOST COMMON DIGITAL MODULATIONS. DIDACTIC UNIT 3: NETWORK ARCHITECTURES (TOTAL LECTURE/PRACTICE/LABORATORY HOURS 10/2/0) -13 (2 HOUR LECTURE): LAYERING. TCP/IP MODEL. PHYSICAL AND DLC LAYERS. -14 (2 HOUR LECTURE): NETWORK AND TRANSPORT LAYERS. -15 (2 HOUR LECTURE): MAIN SERVICES AND COMMUNICATION ARCHITECTURES FOR SMART GRIDS (WAN AND FAN). -16 (2 HOUR LECTURE): WIDEBAND NETWORKS. OPTICAL NETWORKS. WIRELESS NETWORKS: 3G/4G/5G AND WIFI/BLUETOOTH, IEEE 802.15.4 -17 (2 HOUR LECTURE): OVERVIEW OF MAIN SERVICES AND SYSTEMS FOR SMART GRIDS. TELEPROTECTION, ADVANCED METERING INFRASTRUCTURE (AMI). -18 (2 HOUR PRACTICE): NETWORK ARTCHITECTURES. KNOWLEDGE AND UNDERSTANDING MAIN TELECOMMUNICATION NETWORK ARCHITECTURES FOR SMART GRIDS. APPLYING KNOWLEDGE AND UNDERSTANDING BASIC NOTIONS FOR THE SIMULATION OF TELECOMMUNICATION NETWORKS. DIDACTIC UNIT 4: SMART GRIDS (TOTAL LECTURE/PRACTICE/LABORATORY HOURS 6/2/4) -19 (2 HOUR LECTURE): ARCHITECTURE FOR CONTROL, ACQUISITION, AND PROCESSING. SMART GRID DATA MANAGEMENT SYSTEM. -20 (2 HOUR LECTURE): SMART METERING. -21 (2 HOUR LECTURE): INTELLIGENT SENSORS. NETWORK STATE ESTIMATION. OPTIMAL RESOURCE ALLOCATION. -22 (2 HOUR PRACTICE): NETWORK SECURITY. -23 (2 HOUR LABORATORY): MONITORING AND ACQUISITION OVER INTELLIGENT NETWORKS. -24 (2 HOUR LABORATORY): OPTIMAL RESOURCE ALLOCATION OVER SMART GRIDS. KNOWLEDGE AND UNDERSTANDING MAIN ARCHITECTURAL ELEMENTS FOR COMMUNICATION AND INFORMATION EXCHANGE OVER INTELLIGENT NETWORKS (INTELLIGENT SENSORS, SMART METERING, SMART GRID MANAGEMENT SYSTEM). APPLYING KNOWLEDGE AND UNDERSTANDING SIMULATING A SIMPLE SYSTEM FOR COMMUNICATION, DATA ACQUISITION, AND MANAGEMENT OVER A SMART GRID. TOTAL LECTURE/PRACTICE/LABORATORY HOURS 32/8/8 |
| Teaching Methods | |
|---|---|
| THE COURSE INCLUDES THEORETICAL LECTURES AND COMPUTER-AIDED EXERCISES. |
| Verification of learning | |
|---|---|
| SUCCESSFUL ACHIEVEMENT OF THE LEARNING OUTCOMES WILL BE ASSESSED THROUGH THE DISCUSSION OF A PROJECT WORK AIMED AT EVALUATING: THE KNOWLEDGE AND THE UNDERSTANDING OF CONCEPTS INTRODUCED DURING THE COURSE; THE ABILITY OF CONFIGURING SIMPLE COMMUNICATION NETWORKS; SELECTING SUITABLE DEVICES AND ARCHITECTURES; SOLVING DIMENSIONING AND RESOURCE ALLOCATION PROBLEMS FOR DATA ACQUISITION AND TRANSMISSION IN APPLICATIONS RELEVANT TO ELECTRICAL SYSTEMS AND NETWORKS. |
| Texts | |
|---|---|
| D. BERTSEKAS, R. GALLAGER, “DATA NETWORKS”, PRENTICE HALL, 1992. KENNETH C. BUDKA, JAYANT G. DESHPANDE, MARINA THOTTAN, “COMMUNICATION NETWORKS FOR SMART GRIDS - MAKING SMART GRID REAL”, SPRINGER-VERLAG , 2014. SUPPLEMENTARY TEACHING MATERIAL WILL BE AVAILABLE ON THE UNIVERSITY E-LEARNING PLATFORM (HTTP://ELEARNING.UNISA.IT) ACCESSIBLE TO STUDENTS USING THEIR OWN UNIVERSITY CREDENTIALS. |
| More Information | |
|---|---|
| THE COURSE IS HELD IN ENGLISH. |
BETA VERSION Data source ESSE3 [Ultima Sincronizzazione: 2024-11-18]
