Networking, mobile communications, navigation, machine learning, and signal processing

The cluster develops novel technologies and methodologies based on signal processing, machine learning, and closed-loop system optimization to advance Wireless Communications and Networking, Computer Vision and processing of visual data, and analysis and simulation of Global Navigation Satellite Systems.  The laboratories are active in the automotive, telecommunications, mobile services and applications, and space industries. The cluster has significant expertise in models for network service management, configuring and evaluating virtual radio access networks, testing resource allocation mechanisms for edge environments including UAVs and robots, experiments using 5G private cells and deployment of mobile applications at the network edge. Moreover, deep learning models for image analysis, compression and inverse problems as well as secure sensing and processing are developed. Activities in the space sector include satellite imaging, artificial intelligence onboard of satellites, compression of hyperspectral images, GNSS receiver design, space radionavigation, the development of algorithms for Radio Frequency Interference detection mitigation and localization, as well as Ionospheric monitoring.

The cluster comprises the following research laboratories: