Autumn Semester 2020 takes place in a mixed form of online and classroom teaching.
Please read the published information on the individual courses carefully.

227-0441-00L  Mobile Communications: 5G and Internet of Things

SemesterSpring Semester 2020
LecturersM. Kuhn
Periodicityyearly recurring course
Language of instructionEnglish

AbstractPresent and future (5G and cellular IoT) of mobile communication systems. The lecture course covers design, analysis and applications of current and upcoming mobile communication systems. Important topics include: mobile wireless channels, PHY technologies, cellular networks, Internet-of-Things, autonomous driving, QoS measurements and evaluation, benchmarking.
ObjectiveBy the end of this course, students will be able to
- understand and explain the characteristics of mobile wireless channels
- illustrate physical layer limits and challenges of mobile communication systems
- model and simulate PHY technologies of WiFi 6 (802.11ax) and 3G, 4G, and 5G mobile communications standards
- explain the use of wireless technologies in the context of IoT and autonomous driving
- understand and illustrate the use of QoS measurements in mobile networks for benchmarking
ContentThe 4G and 5G mobile communication networks are key enablers for digitalization in general and, particularly, for applications in the areas of IoT and autonomous systems (e.g. autonomous driving). We start with an analysis of the physical (PHY) layer of current and future wireless communication systems, and compare different PHY implementations in 4G, 5G and WiFi 6. Based on these considerations we study applications of wireless technologies in the area of the Internet of Things (IoT) and autonomous systems and identify the potential as well as the challenges.

- Introduction
- The mobile wireless channel, propagation of electromagnetic waves
- Mobile communication, modulation techniques, OFDM, MIMO
- Wireless networks and wireless standards (WiFi 6 and 3G, 4G, 5G)
- Applications: IoT, autonomous driving etc.
- Quality of service (QoS) in wireless networks (definitions, Key Performance Indicators)
- QoS measurements (e.g. network coverage, delay, throughput) and their statistical evaluation
- Benchmarking (methodology, statistical methods and models)

Weekly exercises are included in the lecture.
Lecture notesLecture slides are available.
LiteratureWill be announced in the lecture.
Prerequisites / NoticeEnglish