Institut d'Électronique et de Télécommunications de Rennes
UMR CNRS 6164

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Training School : Information Theory and Signal Processing for the Internet of Things

Training School : Information Theory and Signal Processing for the Internet of Things
November 18-22, 2018 in Lyon, France.

Supported by the European COST IRACON and the French National Agency for Research (project ARburst)
Local host : Inria-Insa research group MARACAS @Université de Lyon, France
https://isp-iot.sciencesconf.org

We cordially invite you to participate in our training school hosted at the University of Lyon, under the umbrella of the COST IRACON and the ANR project ARBurst

This training school focuses on models and techniques for IoT access networks. The training school will alternate between theoretical courses and experimental training sessions on the FIT/CorteXlab with GNU radio.

Theoretical courses will be given by leading experts in signal processing, information theory and wireless networking. Training sessions will be coached by our experts in GNU radio and communication system design.

More precisely, you will :
- Learn about the most advanced tools, which provide a means to model networks for the Internet of Things (Finite Blocklength Information Theory, Game Theory, Learning, Network Coding, Estimation theory).
- Overview the most recent protocols and technical solutions designed for the IoT (through a dedicated special panel session).
- Experiment on the FIT/CorteXlab plateform to design new PHY/MAC protocols
- Participate in a competitive and exciting challenge to optimize the communication stack for a NBIoT-based scenario.

Our registration will open by the end of the week. To register, please follow the link : https://isp-iot.sciencesconf.org
The attendance is limited and acceptance will be based on the order of registration.

Looking forward to seeing you soon in Lyon,

Jean-Marie Gorce (University of Lyon, INSA, Inria)
Laurent Clavier (University of Lille, IMT, CNRS)
Philippe Mary (University of Rennes, INSA, CNRS)






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