Efficient Management of Ressources in Wireless Networks using Machine Learning Approaches

A Research Project by

Hochschule Nordhausen
Technische Universität Braunschweig
Max Planck Institut für Informatik, Saarbrücken
New-Media-Net GmbH, Bensheim
Fraunhofer-Institut für Nachrichtentechnik, Heinrich-Hertz-Institut, Berlin
BISDN GmbH, Berlin

Projektträger: VDI/VDE Innovation + Technik GmbH, Berlin

SupraCoNeX researches ways to improve management approaches to 802.11-based (wireless) network architectures using machine learning / AI methodologies and algorithms. The goal is to have an evaluation of existing statistical and adversarial multi-armed bandit algorithms, and probably the development of new ones, to enhance throughput, latency, security and robustness of wireless, productive communication networks, especially those connected to the internet.
This server is meant to provide a communications and data exchange platform for the project partners and - later - for the interested community.

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