openran

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

An ns-3-based Open RAN simulation environment with native support for intent-based orchestration.

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

xApp that dynamically changes the MCS depending on channel BER

OpenRAN Traffic Steering xApp