eBPF based cloud-native load-balancer for Kubernetes|Edge|Telco|IoT|XaaS.

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

Sionna: An Open-Source Library for Research on Communication Systems

Simulation code for “A Framework of Robust Transmission Design for IRS-Aided MISO Communications With Imperfect Cascaded Channels,” by G. Zhou, C. Pan, et al,  IEEE TSP, vol. 68, pp. 5092-5106, 2020.

DeepMIMOv4: A Toolchain and Database for Ray-tracing Datasets.

Sionna Research Kit: A GPU-Accelerated Research Platform for AI-RAN

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.

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

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.

A PyTorch-based toolkit for simulating communication systems

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

DL tackling Massive-MIMO problems

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.

This repository includes code for the paper "Towards Autonomous Cybersecurity: An Intelligent AutoML Framework for Autonomous Intrusion Detection" accepted in AutonomousCyber, ACM CCS, 2024.

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.

Simulation code for “PI-Based High-Speed Communications with Multiple RISs: Doppler Mitigation and Hardware Impairments,” by K. Wang, C-T. Lam, and B.K. Ng, Applied Sciences, 12, no.14: 7076, 2022.

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

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.

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.

Camera based beam prediction

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

A Python Library for the 3GPP physical layer

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

This repository contains the code, datasets, and simulation tools for the paper "Machine Learning-Based mmWave MIMO Beam Tracking in V2I Scenarios: Algorithms and Datasets", published at IEEE Latincom 2024.

This repository includes code for the paper "Towards Zero Touch Networks: Cross-Layer Automated Security Solutions for 6G Wireless Networks" published in IEEE TCOM, focusing on autonomous cybersecurity (physical-layer authentication and cross-layer intrusion detection) using AutoML techniques.

Simulation code for “RIS-Assisted High-Speed Communications with Time-Varying Distance-Dependent Rician Channels,” by K. Wang, CT. Lam, and BK. Ng, Applied Sciences, 12, no.22: 11857, 2022.

Codebooks with Integral-Split Self-Interference Reduction for Integrated Sensing and Communication

Vision-Aided Beam Tracking

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