Open source 5G UE and RAN (gNodeB) implementation.

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.

A speedy solution for developers who need to work with YANG data models derived from XML schemas.

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

Ericsson (Telefonaktiebolaget LM Ericsson) is a Swedish multinational networking and telecommunications equipment vendor headquartered in Kista, Stockholm. Founded in 1876, the company supplies mobile and fixed network infrastructure to communication service providers worldwide and operates across three product areas: Networks (5G RAN, 5G Core,…

Perform backward slicing on ARM64 instruction traces to extract minimal instruction sets linked to specific register or memory values for efficient analysis.