Cooperative Mobile Systems 2022s [CMS 2022s]

Contents

Vehicle-to-everything communication can serve as the basis for novel applications enabling cooperation among mobile systems of the future. Trucks, cars, bikes, pedestrians, and cities are all part of such a system. This course will cover the basis and the application of communication concepts to the design of such cooperative mobile systems. A practical part covers the application of learned theroetical concepts to the design of novel cooperative mobile systems, as well as the study of such systems via simulative performance evaluation.

Prerequisites

Beyond this, there are no formal prerequisites for joining. Still, certain background knowledge is not taught in this course, but assumed for all of lecture, labs, and exams.

• You should have a background (or the willingness to learn) computer networking with a focus on wireless as well as fundamental knowledge of applied statistics.
• For the labs, simulations will be designed, written (in C++), and run (on Linux systems). For this, both programming and computer skills are essential.

Learning Outcome

Students will be able to understand how vehicle-to-everything communication can serve as the basis for applications enabling cooperation among trucks, cars, bikes, pedestrians, and cities. They will also be able to apply this knowledge to the design of future cooperative mobile systems in practice.

General Information / Methods

This course consists of lectures and labs. The lecture covers theoretical parts of the course, the labs cover practical parts.

This course will be held in English (German, if universally preferred) and all the course material is available in English. The teaching platform for this course is OPAL.

For participation, two alternatives will be offered in parallel:

• All slides along with written commentary will be made available online for download and asynchronous learning. Links will be published here.
• All slides will be presented in a weekly interactive on-campus and/or web meeting for synchronous learning. The streaming platform is the TU Dresden BigBlueButton instance, with Zoom as a fall-back. Links will be published on this page.

Questions? Comments? Join the discussion in our Matrix Room #nsm-course-cms:tu-dresden.de (reachable from the TU Dresden Matrix server) or add a post to our OPAL forum!

Exams

Oral examination (by appointment).

Option of written exam if 32 participants or more where covered by degree program regulations.

If you want to get a grade, please pre-register the exam with us in the first two weeks of lecture. This is in addition to the regular exam registration you will need to do later in the semester. See the organizational slide deck for details.

Instructors

• Lecture: Christoph Sommer
• Labs: Mario Franke

Timeline

For timeline information, see both the section “In a nutshell” above and the slide deck “Organization” below.

Physical Classes

As agreed on during the first week, the class will move fully online for the next weeks, then continue as a monolithic block course. We will move back to physical classes if and when desired by the class (to be announced here).

Web Meeting Links

We will use the following web meeting room. Note that links for joining may change anytime; please check this page for the most up-to-date one. In case of technical difficulties, please check the Matrix room.

• BigBlueButton (lecture)
• BigBlueButton (labs)

Slides

• 00-org.pdf - Organization
• more: see OPAL

Sheets

• installation.pdf - Installation
• sheet0.pdf - Sheet 0: Installation & TicToc
• more: see OPAL

Literature

• Christoph Sommer and Falko Dressler, Vehicular Networking, Cambridge University Press, 2014. [DOI, BibTeX, Details...]
• Averill M. Law, Simulation, Modeling and Analysis, ed. 4, Singapore, Singapore, McGraw-Hill, 2007.
• Ronald E. Walpole, Raymond H. Myers, Sharon L. Myers and Keying Ye, Probability and Statistics for Engineers and Scientists, ed. 9 (international), Pearson, 2012.