RIS-Codes-Collection: A Complete Collection contains the Codes for RIS(IRS) Researches.

Sionna: An Open-Source Library for Next-Generation Physical Layer Research

Simulation code for EdgeGO -- A resource sharing framework for 6G edge computing in massive IoT systems, https://ieeexplore.ieee.org/document/9375469/

DL tackling Massive-MIMO problems

This repository contains code to reproduce some of the results from the paper Sionna RT: Differentiable Ray Tracing for Radio Propagation Modeling using the Sionna™ link-level simulator.

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.

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.

6G Wireless Communication Security - Deep Learning Based Channel Estimation Dataset

Code for M. Polese, J. Jornet, T. Melodia, M. Zorzi, “Toward End-to-End, Full-Stack 6G Terahertz Networks”, https://arxiv.org/abs/2005.07989, 2020.

5G Tookit provides a rich set of 3GPP standards compliant modules and libraries. These modules can be used for reseach and development on physical channels and procedures in uplink and downlink communication.

This repository includes code for the AutoML-based IDS and adversarial attack defense case studies presented in the paper "Enabling AutoML for Zero-Touch Network Security: Use-Case Driven Analysis" published in IEEE Transactions on Network and Service Management.

Camera based beam prediction

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

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

6G and Security repository for telecommunications and AI research. We will share our implementations and publications in 5G and beyond technology, 6G, Security, Machine learning on 6G, Massive MIMO, THz communication and communication networks.

AI-based Resource Provisioning of IoE Services in 6G: A Deep Reinforcement Learning Approach

Comparing GCCGO 1.8.1 (GCC 7.2) vs GC 1.8.1 (and GC 1.10) on x86 (AMD64).

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

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

Vision-Aided Beam Tracking