Keysight and Northeastern University showcase AI-RAN orchestration at Mobile World Congress 2025
Keysight Technologies and Northeastern University will present a demonstration of AI-RAN orchestration at Mobile World Congress 2025 (MWC25).
The demonstration will take place at Keysight’s booth and will showcase AI-driven network management for radio access networks (RAN). The collaboration is part of the AI-RAN Alliance, which focuses on integrating artificial intelligence into 5G and 6G RAN systems.
The demonstration will highlight how AI can manage RAN workloads, optimize real-time data processing, and enhance network efficiency. It will use Northeastern University’s AI-and-RAN reference framework running on a shared O-Cloud compute cluster, combined with Keysight’s Open RAN Architect (KORA) testing solutions.
The AI-RAN initiative is designed to address challenges in managing AI and RAN workloads simultaneously, ensuring low-latency data processing, and maintaining network security. The collaboration between Keysight and Northeastern University aims to validate AI-RAN coexistence and provide scalable infrastructure for edge data centers supporting both RAN and generative AI (GenAI) applications.
Tommaso Melodia, Director of the Institute for the Wireless Internet of Things at Northeastern University, said:
“Orchestration to share compute infrastructure at edge data centers between RAN and GenAI services while ensuring network reliability represents a crucial step toward intelligent and virtualized next-generation wireless systems where communication, sensing, and AI will coexist at the edge. Our collaboration with Keysight Technologies enables us to validate AI-and-RAN integration in real-world scenarios, ensuring scalable, high-performance network solutions that bridge AI and wireless communications on a shared compute infrastructure.”
Peng Cao, Vice President and General Manager of Keysight’s Wireless Test Group, added:
“Our close collaboration with Northeastern University highlights the potential of AI-RAN orchestration to transform traditional RAN systems into intelligent, adaptive, efficient, and reliable networks. This advancement will drive the development of AI-native RAN and accelerate the telecom industry’s progress towards 6G.”
