(Redesigned in Fall 2019)

Wireless Access Systems

Massive Wireless Networks for Communication and Localization

Electrical Engineering and Information Technology Master >> Advanced Core Course
6 credits

The course is designed for a broad audience, particularly for students with interest in wireless data communication, wireless localization, and communication for biomedical sensor networks, smart grid, internet-of-things etc.

Cooperative Pervasive Wireless Access Systems

The lecture course covers current and upcoming wireless systems for data communication and localization in diverse applications. Important topics are broadband data networks, indoor localization, internet-of-things, biomedical sensor networks and smart grid communications. The course consists of two tracks, the lecture part “Technology&Systems” and the group exercise part “Simulate&Practice”.

Lecturer: Prof. Dr. Armin Wittneben

Assistants: Robert Heyn, Henry Schulten


  Lecture: Tuesday 10:00-12:00
  Exercise: Tuesday 08:00-10:00


Lecture Notes

Cooperative Pervasive Wireless Access Systems

Learning goals:
General learning goals of the course:
By the end of this course, students will be able to

Specific learning goals include:


  1. Introduction
  2. Wireless communication: fundamental Physical layer and MAC layer limits and challenges
  3. Basics of OFDM
  4. Wireless systems: WiFi / WLAN
  5. Wireless systems: Bluetooth, RFID (Radio Frequency Identification) and NFC (Near Field Communication)
  6. Indoor localization based on wireless systems
  7. Internet-of-things: Challenges and solutions regarding wireless data communication and localization
  8. Smart grid communications
  9. Biomedical sensor communication
  10. Next generation designs (glimpse on current research topics)

The goal of the course is to explain and analyze modern and future wireless systems for data communication and localization. The course covers designs for generic applications (e.g. WiFi, Bluetooth) as well as systems optimized for specific applications (e.g. biomedical sensor networks, smart grid communications).

The course consists of two parallel tracks. The track "Technology&Systems" is structured as regular lecture. In the introduction, we discuss the challenges and potential of wireless access and study some fundamental limits of wireless communications and localization approaches.

The second part of this track is devoted to the most widely used wireless systems, WiFi/WLAN, Bluetooth, RFID, NFC. Furthermore, we study the potential of using existing wireless communication systems for indoor localization.

The third part follows with an introduction to the internet-of-things, where we focus on data communication and localization challenges and solutions in wireless networks with a massive number of nodes. Next, we study communication technologies for the smart grid, which combine wireless as well as power line communication approaches to optimize availability and efficiency.

The track is completed by a comprehensive survey of short-range magneto-inductive micro sensor networks for communication and localization - as a promising technology for biomedical sensor communication (in-body, out-of-body).

In the track "Simulate & Practice" we form student teams to simulate and analyze functional blocks of the physical layer of advanced wireless systems (based on MATLAB simulations). The track includes combination tasks in which different teams combine their functional blocks (e.g. transmitter, receiver) in order to simulate the complete physical layer of a wireless system. The focus is on data communication and localization. The tasks include modeling and simulating of single-carrier systems (as, e.g., used in Bluetooth), multi-carrier OFDM systems (e.g. used in WiFi or power line communication), and indoor localization approaches (e.g. relevant for IoT and sensor networks).