AI/ML Simulations on ns-3

Implementation of Circle Mobility Model for ns-3 and Visualizing it in 3D

Mobility Models of ns-3. The default ns-3 installation will contain the following mobility models. MobilityModel Subclasses ConstantPosition ConstantVelocity ConstantAcceleration GaussMarkov Hierarchical RandomDirection2D RandomWalk2D RandomWaypoint SteadyStateRandomWaypoint Waypoint PositionAllocator Position allocators […]

Implementing machine learning functions in ns-3 using mlpack

Why mlpack? In fact, there are two popular ways to incorporate AI/ML functionalities under ns-3. They are ns3-gym and ns3-ai. The following articles explained the way of installing and using […]
ns-3, Research, Restricted Articles
RL-FEC – A Self-Contained Reinforcement Learning Code of FEC for ns-3

Forward Erasure Correction (FEC) Packet-level forward erasure correction is effective for achieving low-latency transmissions in non-terrestrial networks (NTNs), which often contain lossy links with long propagation delay[1]. In [1] the […]
ns-3, ns-3 Installation, Research, Restricted Articles
Installing ns3-gym AI Model under Chroot Jail

ns3-gym is the first framework for RL research in networking[4]. It is based on OpenAI Gym, a toolkit for RL research and ns-3 network simulator. Specifically, it allows representing an […]
ns-3, ns-3 Installation, Research, Restricted Articles
Installing ns3-ai Model under ns-3.35

If we want to implement AI algorithms in our custom network protocol/application under ns-3, then the direct way is to incorporate an existing AI/ML/DL framework with it. If it will […]
ns-3, ns-3 Installation, Research, Unrestricted Articles
Installing ns3-ai Model under “chroot Jail”

Using AI/ML algorithms with ns-3. If we want to implement AI algorithms in your custom network protocol/application under ns-3, then the direct way is to incorporate an existing AI/ML/DL framework […]
ns-3, ns-3 Installation, Research, Unrestricted Articles