19D031DTS - Distributed telecommunication systems

Course specification
Course title Distributed telecommunication systems
Acronym 19D031DTS
Study programme Electrical Engineering and Computing
Module Telecommunications
Type of study doctoral studies
Lecturer (for classes)
Lecturer/Associate (for practice)
    Lecturer/Associate (for OTC)
      ESPB 9.0 Status elective
      Condition No prerequisites
      The goal To introduce students with the theoretic principles of distributed transmission, processing and data fusion techniques and their applications at the different levels of modern telecommunication systems. Application of gained knowledge in the field of distributed telecommunication systems to analyze existing and design novel solutions.
      The outcome Students will be able to use literature, perform theoretic analysis and modeling of distributed transmission, processing and data fusion applications, and implement algorithms in standard software environments. Students are qualified to independently conduct research, development and analysis of distributed transmission, processing and data fusion techniques in modern telecommunication systems.
      Contents of lectures Distributed transmission and processing in communication systems. Distributed sensing, processing and forwarding of data in networks. Distributed routing and data aggregation. Data fusion and cooperative processing for networked sensors/nodes. Distributed cooperative access. Distributed transmission and processing techniques, including machine learning, in wireless sensor and cooperative networks.
      Contents of exercises Candidates' independent research work: theoretical and practical. Project with presentation.
      1. K. J. R. Liu, A. K. Sadek, W. Su, and A. Kwasinski, Cooperative Communications and Networking. Cambridge University Press, 2009. (Original title)
      2. Y.-W. P. Hong, W.-J. Huangand, and C.-C. J.Kuo, Cooperative Communications and Networking: Technologies and System Design. Springer US, 2010. (Original title)
      3. J. R. Raol, Multi-sensor data fusion with MATLAB. CRC Press, Taylor and Francis Group, New York, 2010. (Original title)
      4. J. Zheng, and A. Jamilipour, Wirelesss Sensor Networks: A Networking Perspective. John Wiley & Sons, New Jersey, 2009. (Original title)
      5. F. H. P. Fitzek, and M. D. Katz, Cooperation in Wireless Networks: Principles and Applications. Springer Netherlands, 2006. (Original title)
      Number of hours per week during the semester/trimester/year
      Lectures Exercises OTC Study and Research Other classes
      Methods of teaching Lectures, consultations and mentoring. Student conduct individual research and work on projects.
      Knowledge score (maximum points 100)
      Pre obligations Points Final exam Points
      Activites during lectures 0 Test paper 0
      Practical lessons 0 Oral examination 30
      Projects 0
      Colloquia 0
      Seminars 70