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
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.
Public Safety Communication modeling tools based on ns-3
RL4Net Simulator - A simulator of reinforcement learning algorithm research for networking
Optimized route discovery for AODV routing algorithm using K-Means clustering
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.
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.
TCP congestion control using ns3-gym setup for DQN reinforcement learning.
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.
Maestro is a smart grid co-simulation platform built on top of Mosaik
This is the NS3 based module used for the Net-runner website
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