Events News
Keysight and Northeastern University at Mobile World Congress 2025
4th March 2025
Harry Fowle
Keysight Technologies and Northeastern University have collaborated to demonstrate testing for the orchestration of AI-RAN) at Mobile World Congress 2025.
This demonstration will be showcased at Keysight’s booth (#5F41 Hall 5). It highlights how Keysight’s testing suite continuously evaluates Northeastern’s AI-RAN orchestration solutions for the dynamic allocation of artificial intelligence (AI) and radio access network (RAN) workloads.
The AI-RAN initiative, part of the AI-RAN Alliance, aims to promote the integration of AI technologies into 5G and 6G radio access networks to optimise performance, automate resource management, and enhance overall efficiency. This innovative approach aims to create more adaptive, intelligent, and efficient networks capable of meeting the growing demands of modern telecommunications. However, AI-RAN faces several challenges, including the complexity of managing AI and RAN workloads concurrently, ensuring real-time data processing with minimal latency, and maintaining robust security and privacy standards.
To address these challenges, Keysight and Northeastern University collaborated to validate the coexistence of AI and RAN, providing a comprehensive framework for continuous testing and performance benchmarking across various O-RAN traffic models and generative AI (GenAI) workloads. In addition, this achievement provides scalability to meet the growing demands of sharing compute infrastructure at edge data centres between RAN and GenAI services while ensuring network reliability.
This demonstration leverages Northeastern University’s AI-and-RAN reference system on a shared O-Cloud compute cluster and Keysight’s Open RAN Architect (KORA) solutions portfolio for RAN and Core testing.
Peng Cao, Vice President and General Manager, Keysight’s Wireless Test Group, said: “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.”
