Integrating 5G NR module with ns-3-ai

The Integrating 5G NR module with ns-3-ai project aims to create a high-performance, zero-serialization bridge between the 5G-LENA NR MAC scheduler and Python ML frameworks using the ns-3-ai Message Interface, enabling richer observations, lower latency, and framework-independent ML integration beyond what the current OpenGym-based approach supports. While the NR scheduler is the target use case, the integration patterns, bindings, and agent framework built here serve as a reusable reference for any ns-3 module looking to adopt ML.