ns3-gym - The Playground for Reinforcement Learning in Networking Research

Helper Scripts to run NS3

A multi-stack, ETSI compliant, V2X framework for ns-3.

High-fidelity implementation of the IEEE 802.11ad/ay standards in network simulator ns-3

Congestion control algorithms evaluation on ns3

Whitefield provides a simulation environment for wireless sensor networks by combining RF simulation provided by NS3 and network stack provided by popular IoT OSes such as Contiki/RIOT/OpenThread.

MATLAB and NS3 co-simulation

Public Safety Communication modeling tools based on ns-3

RL4Net Simulator - A simulator of reinforcement learning algorithm research for networking

An implementation of Self-Organizing TDMA (STDMA) for VANETs in NS-3

A discrete time scheduler designed for Quantum Network

This is an ns-3 3GPP NR module for the simulation of 5G NR non-standalone cellular networks. See https://apps.nsnam.org/app/nr/ for more information, this repositiry is a github mirror of https://gitlab.com/cttc-lena/nr.

Optimized route discovery for AODV routing algorithm using K-Means clustering

🎄NUAA 2018 网络通信实现技术 实验3 NS3实验

NS3 with CMake (upstreamed), MinGW/Msys2 (upstreamed) and experimental ClangCL/Visual Studio support

WOSS is a framework that permits the integration of any underwater channel simulator that expects environmental data and provides a channel realization. WOSS integrates the Bellhop ray-tracing program. Thanks to its automation the user only has to specify the location in the world and the time where the simulation should take place.

Code for "Contention Window Optimization in IEEE 802.11ax Networks with Deep Reinforcement Learning" article published at WCNC 2021.

A library for encoding and decoding sparse network codes

TCP congestion control using ns3-gym setup for DQN reinforcement learning.