Machine learning for wireless communications
3 European H2020 organizations list this as part of their work.
Most active in this area
- CENTRE TECNOLOGIC DE TELECOMUNICACIONS DE CATALUNYA
Spanish research centre covering the full 5G stack — from antennas and optical transport to AI-driven network automation and connected vehicles.
“WINDMILL (integrating ML and wireless engineering), plus recent projects applying deep learning and AI to network optimization and edge computing.”
ES45 projects - NOKIA NETWORKS FRANCE
Nokia's French R&D unit specializing in 5G/6G network architecture, optical transport, AI-driven network automation, and quantum-secure communications.
“Growing focus visible in WINDMILL (ML for 5G/MIMO/URLLC), SEMANTIC (data-driven network automation), B5G-OPEN (AI/ML control plane), and RandNET (randomness and learning in networks).”
FR29 projects - INTEL DEUTSCHLAND GMBH
Intel's German R&D center specializing in 5G/6G wireless platforms, millimeter-wave technologies, and high-performance computing for European research consortia.
“WINDMILL (integrating ML and wireless engineering), FOCETA (dependable machine learning), and Hexa-X (intelligent network fabric) show growing ML integration into their telecom work.”
DE23 projects