CODE | 104773 |
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ACADEMIC YEAR | 2022/2023 |
CREDITS |
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SCIENTIFIC DISCIPLINARY SECTOR | ING-INF/03 |
LANGUAGE | English |
TEACHING LOCATION |
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SEMESTER | 1° Semester |
MODULES | This unit is a module of: |
TEACHING MATERIALS | AULAWEB |
The course aims at introducing the 5G radio mobile networks and IoT technologies from the point of view of the functional architecture, the definition of protocols and standard procedures, and the AmI related functions.
Attendance and active participation to the proposed training activities (lectures, exercises and laboratory experiences) and the individual work will allow students to:
Classroom-taught lesson and, if feasible, laboratory experiences.
Introduction to Radio-Mobile Networks: the generations specified by 3GPP, the anatomy and basic concepts in a radio mobile network, the role and the functionalities of the radio-mobile core: authentication, authorization, accounting, Quality of Service, mobility management and handovers. ICT Virtualization: an overview on Operating Systems, Virtual Machines, Containers and virtualization acceleration technologies. Cloud Computing and IaaS, PaaS and SaaS models, example of cloud systems (OpenStack, Kubernetes, etc.); the role of Orchestrators; introduction to cloud-native microservices, sidecars, and service meshes. Introduction to edge computing technologies and infrastructures. Introduction to the 5G, the 5G core network and its design principles; 5G functions and their roles; mobility management procedures; network slicing and vertical applications.
Introduction to IoT systems: definitions, applications, enabling technologies; IoT components: from sensors to gateway (sensors and actuators, sketchy illustration of design principles of electronic circuit boards, sensing and data acquisition policies); Machine-to-Machine (M2M) communications (technologies for WPAN such as BLE, IEEE 802.15.4, Z-Wave, WLAN and WSAN such as LoRA); Network architectures and routing (6LoWPAN, RPL); IoT components: from gateway to cloud (data acquisition protocols: XMPP, CoAP, MQTT, AMQP, etc.); Machine learning application to AmI (classification, clustering, regression, anomaly detection, etc.) and applications for sensor signals and data analysis; Positioning, Tracking and Localization (measurements, existing technologies, sensors for wireless positioning, basics such as limits, trilateration, triangulation, fingerprinting and Cramer-Rao bounds, time transfer positioning approaches such as TOA, TDOA, Ultrawideband, WiFi Positioning with fingerprinting, RFID, Bluetooth, GPS); IoT Open Issues and bottlenecks (privacy and security management, energy efficiency for end-devices and power saving techniques, scalability).
Slides, link to book chapters, scientific papers, online resources indicated on the course's page on AULAWEB.
Office hours: Appointments fixed on request at the end of the lessons, or through Microsoft Teams platform or by e-mail.
Office hours: By appointment. Please contact the lecturer by email (igor_dot_bisio_at_unige_dot_it), via TEAMS or by phone +39-010-3532803.
RAFFAELE BOLLA (President)
ROBERTO BRUSCHI (President)
FRANCO DAVOLI
IGOR BISIO (President Substitute)
Please use: https://easyacademy.unige.it
All class schedules are posted on the EasyAcademy portal.
Full written exam with multiple-choice tests (30 questions) about IoT topics; written exam with multiple-choice tests (10 questions) about 5G and Cloud topic used as admission to the oral exam (only related to 5G and Cloud parts).
Students with learning disorders ("disturbi specifici di apprendimento", DSA) will be allowed to use specific modalities and supports that will be determined on a case-by-case basis in agreement with the delegate of the Engineering courses in the Committee for the Inclusion of Students with Disabilities.
The written exam in the part related to multiple choice tests will verify the effective acquisition of basic knowledge on the technologies presented during lectures. The exercises/problems and/or open-ended questions will allow to evaluate the ability to apply the acquired knowledge in practical and applicative situations.
Date | Time | Location | Type | Notes |
---|---|---|---|---|
19/12/2022 | 10:30 | GENOVA | Scritto + Orale | |
09/01/2023 | 10:30 | GENOVA | Scritto + Orale | |
07/02/2023 | 10:30 | GENOVA | Scritto + Orale | |
15/06/2023 | 10:30 | GENOVA | Scritto + Orale | |
12/07/2023 | 10:30 | GENOVA | Scritto + Orale | |
13/09/2023 | 10:30 | GENOVA | Scritto + Orale |