This project was developed as part of the PI DATA – 4th Year Engineering Program at Esprit School of Engineering (Academic Year 2025–2026). | Smart Network Slicing · 5G · 6G

A comprehensive O-RAN research library enabling AI-driven RAN intelligence with DRL-based xApps, closed-loop control, and multi-slice resource optimization.

Repository for draft-ietf-ccamp-yang-otn-slicing

5G Network E2E Slice Manager

FL-enabled architecture for scalable and proactive network slice impact classification in Intelligent Transportation Systems (ITS).

Intelligent 5G network platform deployed on Kubernetes with AI-powered prediction to dynamically optimize network slicing and enhance user Quality of Experience in real-time.

O-RAN Intent-Based MANO for Network Slicing: Natural language to QoS mapping with automated E2E slice orchestration via O2IMS/O2DMS + Nephio GitOps. Achieves <10min deployment, supports eMBB/URLLC/mMTC with multi-site connectivity (Kube-OVN/VXLAN) and TN bandwidth control.

[ICLR '26 - Virne] A simulator & benchmark for resource allocation (RA) problems in network function virtualization (NFV), i.e., NFV-RA, including virtual network embedding, service function chain deployment, network slicing, etc.

OAI RAN Slicing

Offline Federated RL for O-RAN slice resource management on Colosseum traces

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

Colosseum-based O-RAN slice resource allocation via Federated Learning & Differential Privacy (Opacus). ClusteredFL · FedProx · DQN · PyTorch

Focusing on the implementation of SRv6.

SlicVision-F2I is a novel dataset that transforms network slice Key Performance Indicators (KPIs) into multiple visual representation patterns, designed for machine learning and deep learning applications in network slicing management.

5G Network Slicing Simulation project designed to explore dynamic resource allocation and performance optimization across network slices, including eMBB, mMTC, and URLLC. Developed with modular Python architecture and detailed performance metrics.

OAI CN5G Network Slicing with Simulators (gnbsim, rfsim, ueransim) in an Dockerised Environment

Network slicing gym environment and a model-based RL agent with kernels

This repository provides a dynamic network slicing implementation of a user-defined network

Reinforcement Learning tool for Network Slice Placement problems