Northeastern University Introduces GENESIS AI System for 5G and 6G RAN Development

Northeastern University has introduced GENESIS, an agentic AI framework that automates the full research and development cycle of Radio Access Network software for 5G and 6G, announced in a press release. The system can translate a specification clause or research idea directly into validated, over the air code on production 5G hardware within hours.

GENESIS represents the first demonstration of an AI agent system capable of synthesizing, testing, hardening, optimizing, and securing a cellular network stack without continuous human intervention. It operates across three stages of validation, from software simulation to live transmission on the Open6G testbeds at Northeastern. Each run contributes to a persistent knowledge base, improving the system’s performance over time.

In experiments, GENESIS completed a representative 5G feature implementation task with a 100 percent success rate across multiple runs, while a baseline coding agent produced no working implementations. The framework includes six autonomous pipelines covering synthesis, testing, hardening, optimization, discovery, and security, all connected through a shared knowledge plane called SYNAPSE.

The research team built GENESIS to be portable across major AI runtimes and large language model backends. It is deployed on Northeastern’s Open6G testbeds, a production grade multi site private 5G O-RAN platform used for wireless systems research.