eWINE at the MAKI workshop

Our colleague Eli De Poorter presented the topic “Applied Machine Learning for Wireless System Optimization” at the MAKI workshop in Darmstadt, which discussed how wireless machine learning is transitioning from protocol level optimization to full system understanding and optimization. The presentation included several examples from the eWINE project, including eWINE solutions that allow experimenters to

  • gain better insights in network stacks,
  • understand which interference is present, and
  • efficiently optimize the network.

You can download the presentation in PDF here
The workshop was attended by 170 attendees.
Visit the website of the event here