Course detail

Communication Systems for IoT

FEKT-MPA-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.

 

 

 

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

Not applicable.

Recommended optional programme components

Not applicable.

Literature

Anton-Haro, C.: Machine-To-Machine (M2M) Communications: Architecture, Performance and Applications, 2015. První vydání. ISBN 978-1782421023. (EN)
Hersent, O., Boswarthick, O., Elloumi, O.: The Internet of Things, 2012. Hoboken, NJ: Wiley. Druhé vydání. ISBN 978-1119994350. (EN)
Liberg, O., Sundberg, M., Wang, E., Bergman, J., Joachim, S.: Cellular Internet of Things: Technologies, Standards, and Performance, 2017. První vydání. ISBN 978-0128124581. (EN)
Alasdair, G.: Industry 4.0: The Industrial Internet of Things, 2016. První vydání. ISBN 978-1484220467. (EN)

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).


 

 

Language of instruction

English

Work placements

Not applicable.

Course curriculum

1. Opening lecture (general information; selected platforms).
2. Next-generation mobile networks (mMTC; IoT; IIoT; 5G).
3. Communication protocols for (Industrial) Internet of Things.
4. Wireless communication technologies: Sigfox.
5. Wireless communication technologies: LoRaWAN #1.
6. Wireless communication technologies: LoRaWAN #2.
7. Wireless communication technologies: Narrowband IoT (NB-IoT) #1.
8. Wireless communication technologies: Narrowband IoT (NB-IoT) #2.
9. Wireless communication technologies: LTE Cat-M.
10. Wireless communication technologies: Bluetooth Low Energy (BLE).
11. Wireless communication technologies: IEEE 802.11ah.
12. Wireless communication technologies: Wireless M-BUS.     

Aims

"Communication Systems for IoT" is recently established course with great potential; practically oriented. The course provides actual information (lectures, invited lectures, and laboratories / computer exercises) to follow the trends within the: (i) Internet of Things (IoT); (ii) Industrial Internet of Things (IIoT); (iii) Massive Machine-Type Communication (mMTC); (iv) Industry 4.0; and (v) Smart Grids.   

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.

 

 

 

Classification of course in study plans

  • Programme MPC-TIT Master's, any year of study, summer semester, 5 credits, compulsory-optional
  • Programme MPA-EAK Master's, 1. year of study, summer semester, 5 credits, compulsory-optional

Type of course unit

 

Lecture

26 hours, optionally

Teacher / Lecturer

Laboratory exercise

26 hours, compulsory

Teacher / Lecturer