ns3-gym - The Playground for Reinforcement Learning in Networking Research
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Updated
Sep 27, 2023 - C++
ns3-gym - The Playground for Reinforcement Learning in Networking Research
High-fidelity implementation of the IEEE 802.11ad/ay standards in network simulator ns-3
Public Safety Communication modeling tools based on ns-3
MATLAB and NS3 co-simulation
Congestion control algorithms evaluation on ns3
NS3 with CMake (upstreamed), MinGW/Msys2 (upstreamed) and experimental ClangCL/Visual Studio support
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.
An implementation of Self-Organizing TDMA (STDMA) for VANETs in NS-3
RL4Net Simulator - A simulator of reinforcement learning algorithm research for networking
Code for "Contention Window Optimization in IEEE 802.11ax Networks with Deep Reinforcement Learning" article published at WCNC 2021.
Maestro is a smart grid co-simulation platform built on top of Mosaik
A library for encoding and decoding sparse network codes
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.
Practice Socket Programming (Multithreaded TCP and UDP servers, polling of sockets, blocking and nonblocking read write sendto recvfrom ) and NS-3 (CSMA lans, P2P lans, Installing TCP and UDP applications on various nodes and evaluate your network).
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