DS1M2M - Traffic Modeling in M3M Communication Systems

Course specification
Course title Traffic Modeling in M3M Communication Systems
Acronym DS1M2M
Study programme Electrical Engineering and Computing
Module Telecommunications and Information Technologies
Type of study doctoral studies
Lecturer (for classes)
Lecturer/Associate (for practice)
    Lecturer/Associate (for OTC)
      ESPB 9.0 Status elective
      The goal Objective of the course is introducing students with traffic modeling concept and principles in M2M communication systems and education for independent science research and development work in this area.
      The outcome After completion of the course the students will be able to deal with principles, procedures and Tools for traffic modeling, and participate dimensioning of real M2M communications and to conduct Independent science research work in M2M traffic modeling area.
      Contents of lectures "Introduction to M2M communication systems and their usage. Analysis of existing and future M2M applications. Introduction with methods for M2M traffic analysis and modeling. Principles for new applications development. Mathematical modeling of traffic cases. Principles of traffic capturing analysis in the live networks. Methods for development of traffic generation tool.
      Contents of exercises Practical work with existing tools for traffic simulation in wireless and mobile networks. Development of new tools. Modeling and simulation of new M2M applications in live networks (mobile, WiFi)
      1. David Boswarthick, Omar Elloumi, Olivier Hersent: "M2M Communications, A System Approach", John Wiley & Sons Ltd, 2012 (Original title)
      2. 3GPP recommendations for M2M communications: 3GPP TS 23 888, 3GPP TS 23 368
      3. ETSI documents for M2M communications
      4. Uckelmann, Dieter; Harrisson, Mark; Michahelles, Florian, eds (2011). "An Architectural Approach Towards the Future Internet of Things". Architecting the Internet of Things, Berlin, Germany: Springer. p. 8. (Original title)
      Number of hours per week during the semester/trimester/year
      Lectures Exercises OTC Study and Research Other classes
      Methods of teaching Lectures, exercises, projects, mentoring
      Knowledge score (maximum points 100)
      Pre obligations Points Final exam Points
      Activites during lectures 0 Test paper 30
      Practical lessons 20 Oral examination 0
      Projects 50
      Colloquia 0
      Seminars 0