Graduate School and Research Center In communication systems

David GESBERT

David GESBERT
David GESBERT
Eurecom - Communication systems 
Professor
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Teaching

While an adjunct professor at the University of Oslo, and now as a Professor at the Mobile Communications Laboratory of EURECOM, David Gesbert has been teaching in the field of :

  • statistical signal processing
  • advanced topics for wireless communications
  • information theory
  • mobile networking

My courses

  • ATWireless / Fall 2016 - Advanced topics in wireless communications

    Hot Topics in Mobile Communications

    ·         This course presents some recent or emerging  HOT TOPICS within the area of mobile networks.

    ·         The course is modified from 2014 (and earlier) versions to allow focus on updated set of hot topics and trends in mobile communications.

    ·         We emphasize emerging techniques to be used in future 5G mobile networks to allow for a significant increase in user quality, and network capacity.

    ·         The course earns 5 ECTS

    ·         We cover hot topics for 5G such as "Massive MIMO" , "network cooperation", "interference management", and "device coordination". These topics cover 21 hours.

    ·         In the other 21hours, external experts (Intel, Huawei, ETSI, etc.) from Industry reveal hot topics seen from the wireless networking  industry.

    Teaching and Learning Methods : Lectures, Exercise and  Lab sessions (group of 2 students)

    Course Policies : Attendance to Lab session is mandatory (25% of final grade).

  • InfoTheo / Fall 2016 - Information theory

    • Since 1948, the year of publication of Shannon's landmark paper "A mathematical theory of communications", Information theory has paved the ground for the most important developments of today's information/communication world making it perhaps the most important theoretical tool to understand the fundamentals of information technologies.
    • Information theory studies the ultimate theoretical limits of source coding and data compression, of channel coding and reliable communications via channels, and provides the guidelines for the development of practical signal-processing and coding algorithms.
    • This course covers Information theory at an introductory level.
    • The practical implications of theoretical results presented are put in evidence through examples.
    • Various perspectives are given to understand every single theoretical results from a intuitive point of view, regardless of your background or study track.

    Teaching and Learning Methods : Lectures, Exercise and  Lab sessions (group of 2 students)

    Course Policies : Attendance to Lab session is mandatory (25% of final grade).

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Distinctions

  • Has received the Fellow distinction from IEEE (2011)
  • Best Paper Award 2012 of IEEE Signal Processing Magazine
  • He authored or co-authored papers winning the 2004 IEEE Best Tutorial Paper Award (Communications Society) for a 2003 JSAC (Journal on Selected Areas in Communications) paper on MIMO systems,
  • 2005 Best Paper (Young Author) Award for Signal Proc. Society journals.