News

The School of Electronic Engineering and Computer Science (EECS) at Queen Mary University of London (QMUL) is proud to announce its membership in the AI-RAN Alliance, marking a significant step forward in advancing research and innovation in AI-driven communication systems.

This collaboration bridges the gap between academic research and industrial application, fostering the development of AI-native architectures and next-generation wireless technologies that will shape the evolution of 5G, 6G, and beyond.

Through this partnership, QMUL will contribute its expertise to the Alliance's AI-for-RAN, AI-on-RAN, and Data-for-AI working groups, helping shape the next generation of adaptive, efficient, and self-optimizing mobile networks.

QMUL researchers view AI as a transformative force in wireless communication, enabling:

• Real-time, AI-driven network control
• Energy-efficient RAN operation
• Scalable support for massive IoT and autonomous systems
• Continuous learning through simulation-driven design

This synergy between academic research and industrial deployment ensures that new technologies are not only theoretically sound but also practically validated, accelerating the transition from research to real-world implementation.