FNS at the 2025 IEEE GLOBECOM


The 2025 IEEE Global Communications Conference (GLOBECOM) was held during 8-12 December, in the city of Taipei, Taiwan. IEEE GLOBECOM is one of the IEEE Communications Society’s two flagship conferences dedicated to driving innovation in nearly every aspect of communications.

Each year, over 3,000 scientific researchers submit proposals for program sessions at the annual conference, which attracts around 1,500 attendees. After extensive peer review, the best of the proposals are selected for the conference program, which includes technical papers, tutorials, workshops and industry sessions designed specifically to advance telecommunication technologies, systems and infrastructure.

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Haibin Zhang conveys the FNS vision.

FNS attended the conference, with Haibin Zhang (TNO) serving on the organizing committee and participating as a panelist in two industrial panels, where he shared FNS/TNO's perspectives on key topics:

  • “Global 6G Testbed Collaboration for Open, Intelligent, and Interoperable Innovation”. Addressed the goals, focused technologies and associated 6G applications of global 6G testbeds (including those of FNS national 6G testbed). The panel further discussed the relevance of openness, interoperability and federation of global 6G testbeds, to accelerate technology readiness.
  • “Fostering International Collaboration between Academia and Industry to Propel AI-Native RAN” . Addressed the importance of and challenges in international and academia-industry collaborations in AI-native (6G) RAN: the gap between fundamental research and practical implementation constraints, secure and ethical cross-border sharing of training data to accelerate AI model training and benchmarking (and associated needs of cross-border governance), sustainability aspects, and the balance between openness and industry’s commercial drives.

Showcases of other Dutch Research

  • Dynamic Beamforming and Power Allocation in ISAC via Deep Reinforcement Learning, by Nguyen Duc Dao (University of Twente); Andre Kokkeler (University of Twente); Haibin Zhang (TNO); Yang Miao (University of Twente)
  • Temperature-Resilient LC-RIS Phase-Shift Design for Multi-user Downlink Communications, by Arash Asadi (TU Delft) and others.
  • ReQuestNet: A Foundational Learning model for Channel Estimation, by Pratik Kumar (Qualcomm-Amsterdam) and others.