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FEKT-MPC-IOTAcad. year: 2022/2023
The course “Communication Systems for IoT” details the actual approaches for the M2M (Machine-to-Machine) data transmissions utilizing either wired or wireless communication technologies and communication protocols. The outlined approaches are valid for: (i) industrial Internet of Things (IIoT); (ii) intelligent networks (Smart Grids); (iii) Smart Cities; (iv) and Industry 4.0. The students will be able to differentiate between the M2M and H2H (Human-to-Human) communication, decide how to implement the data aggregation, and select the suitable communication technology based on the communication requirements (data volume, traffic patterns, security, performance limitations, power source, etc.).
The laboratories follow the theoretical part of the course (lectures) and focus on the practical implementation of the selected wireless communication technologies, e.g., Sigfox, LoRaWAN, and Narrowband IoT. The students will work with real prototypes aiming to establish fully functional communication based on the given parameters. For this, the students will use the UniLab laboratory, a unique platform equipped with the latest communication technologies working in both licensed and unlicensed frequency spectrum.
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Number of ECTS credits
Mode of study
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Learning outcomes of the course unit
On course completion, students will be able to:- Define the communication principles within the next-generation networks (5G New Radio; mMTC, IoT, IIoT). - Differentiate between the M2M and H2H (Human-to-Human) communication.- Decide on how to implement the data aggregation, and select the suitable communication technology based on the communication requirements (data volume, traffic patterns, security, performance limitations, power source, etc.).
Prerequisites
Basic knowledge of information and communication technologies (ICT) on the Bachelor degree level is required. Work in the laboratory is conditioned by a valid qualification of "instructed person" according to Vyhl. 50/1978 Sb., which students must obtain before starting the course. Information on this qualification is given in the Dean's Directive Familiarization of students with safety regulations.
Co-requisites
Planned learning activities and teaching methods
The materials (slides, presentations, documents, papers, whitepapers, datasheets, etc.) will be provided via the E-learning and MS Teams platform.
Assesment methods and criteria linked to learning outcomes
Total course score = 12p (lab. exercises) + 18p (lab. tests) + 70p (final exam).
Course curriculum
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Aims
Specification of controlled education, way of implementation and compensation for absences
In total, the students can get up to 30 points during the semester. To successfully pass the laboratories, the students have to attend and submit all 12 exercises.
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Basic literature
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Elearning
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Lecture
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Laboratory exercise