This advanced and complex project implements an AI-powered optimization system for 5G Open RAN networks. Using machine learning and deep learning, the system optimizes network performance by detecting anomalies, predicting network traffic, and dynamically allocating resources.

5G gNodeB Centralized Unit written in Rust

Performance evaluation of several DRL algorithms in a discrete action-space for resource allocation in Open RAN

Offline federated learning for Open RAN slice resource optimisation on Colosseum-ORAN traces

Mission Assignment and Task Offloading in Open RAN-based ITS This project provides the implementation of metaheuristic and deep reinforcement learning (DRL) algorithms for optimizing mission assignment and task offloading in Open RAN-enabled Intelligent Transportation Systems (ITS).