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 PyTorch-based toolkit for simulating communication systems

M. Polese, F. Restuccia, and T. Melodia, "DeepBeam: Deep Waveform Learning for Coordination-Free Beam Management in mmWave Networks", Proc. of ACM Intl. Symp. on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing (ACM MobiHoc), July 2021.

Code containing RRM simulation using RL in a scenario with RAN slicing.

Camera based beam prediction

This package analyzes the age of information (AoI) in a wireless network, providing metrics for network performance evaluation. It can be easily integrated into simulation environments for research on AoI.

Comyx is an optimized and modular Python library for simulating wireless communication systems

Learning Environment-aware and hardware-compatible beam-forming codebooks

DeepMIMO Toolchain: Bridging RayTracers and 5G/6G Simulators

Vision-Aided Beam Tracking

RAN Fusion a NextG RAN Simulator

In this repository, you will find the source code for analyzing tracks during data transmission using Software Defined Radios. Metrics about error positioning and error syndrome are attached.

Fusion of federated leaerning algorithm and reconfigurable intelligent surface from 6G

RAN Simulator for OAICT

Intent-based radio resource scheduling in a scenario with multiple slices.

THz visibility prediction and AP assignment simulator

sctptrace is a collection of eBPF-based tools for monitoring and analysing SCTP (Stream Control Transmission Protocol) connections in real-time with minimal overhead. It provides visibility into critical SCTP performance metrics including RTT, buffer utilisation, jitter, and stream usage by instrumenting kernel functions through BCC.

Bio-Inspired Wireless Optimization for 6G ISAC — adaptive interference cancellation, benchmarking, and standards-aligned integration tools

This repository contains code for the work Goal-Oriented Interference Coordination in 6G In-Factory Subnetworks