eBPF based cloud-native load-balancer for Kubernetes|Edge|Telco|IoT|XaaS.
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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.
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.
Sionna Research Kit: A GPU-Accelerated Research Platform for AI-RAN
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
Simulation code for EdgeGO -- A resource sharing framework for 6G edge computing in massive IoT systems, https://ieeexplore.ieee.org/document/9375469/
6G Wireless Communication Security - Deep Learning Based Channel Estimation Dataset
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.
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.
DeepMIMOv4: A Toolchain and Database for Ray-tracing Datasets.
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.
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