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.