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DTSTART;TZID=Europe/Berlin:20210305T130000
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SUMMARY:Improving Communication Systems Using Machine Learning
DESCRIPTION:Prof. Dr. Laurent Schmalen from Karlsruhe Institute of Technology (KIT) contributes to our IKS event series with an online lecture entitled: „Improving Communication Systems Using Machine Learning“ Today\, communication engineering still follows a model‐based design methodology influenced by the seminal design guidelines that were formulated by Claude Shannon in the 1940s. Such a model‐based approach may however not be suitable for many modern communication scenarios. In this talk\, we show how we can augment communication systems using machine learning and in particular deep learning. In the first part of the talk\, we show how machine learning can be used to optimize channel‐agnostic waveforms for an optical communication system. In the second part of the talk\, we show how machine learning can be used to augment existing receiver algorithms and in particular channel decoding. We illustrate that short channel codes can be decoded with a performance close to the theoretical performance limits with significantly lower complexity than other state‐of‐the‐art methods \n  \nZOOM-Zugang: Meeting-ID: 982 0881 3151\, Kenncode: forum-IKS\noder https://rwth.zoom.us/j/98208813151?pwd=d0hRUmFLUklKSWJab2ZiVks0dHZpZz09
URL:https://blog.rwth-aachen.de/elektrotechnik/event/improving-communication-systems-using-machine-learning/
LOCATION:Online Event\, Deutschland
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