Stars
A curated list of resources dedicated to reinforcement learning applied to cyber security.
Project for Network coursework (CSC-35)
Open source 5G UE and RAN (gNodeB) implementation.
ns-3 module for simulating mmWave-based cellular systems. See https://ieeexplore.ieee.org/document/8344116/ (open access) as a reference.
Simulating 5G-enabled vehicular networks in a Turin urban context
A Device Plugin for Kubernetes, which exposes the CPU cores as consumable Devices to the Kubernetes scheduler.
Public Safety Communication modeling tools based on ns-3
A curated list of awesome neural radiance fields papers
Codes for paper "Knowledge-Assisted Deep Reinforcement Learning in 5G Scheduler Design: From Theoretical Framework to Implementation"
5G-Slicer: An emulator for mobile IoT applications deployed over 5G network slices
Reinforcement learning based scheduling algorithm for optimizing AoI in URLLC networks
Standard compliant implementation of the IEEE 802.11-FTM protocol in ns3.
UAV Simulation Platform based on PX4, ROS and Gazebo
A jupyter notebook with crop analysis algorithms utilizing digital elevation models and multi-spectral imagery (R-G-B-NIR-Rededge-Thermal)
MilliSlice - Enabling RAN Slicing Through Carrier Aggregation in mmWave Cellular Networks
Awesome curated list of coding assistants and related resources
Comyx is an optimized and modular Python library for simulating wireless communication systems
A Network Simulator 3 (NS-3) bridge for Robot Operating System (ROS).
MilliCar - An ns-3 Module for mmWave NR V2X Networks
A module that can be used to model and simulate O-RAN-like behavior in ns-3.
Positioning algorithm for Experimental Cellular Positioning System
Wi-Fi and NR-U network simulator developed for the BSc and MSc thesis