If you're diving into reinforcement learning (RL) simulations using NS-3 and OpenGym, this step-by-step guide is exactly what you need. In this tutorial, we will walk you through the installation process of NS3-Gym (also known as OpenGym) with NS-3.40 on Ubuntu 24.04.
Whether you're a researcher, student, or developer working on AI-driven network simulation, this guide will help you get started with minimal errors.
Complete installation is available in the following Video✅ System Requirements
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Operating System: Ubuntu 24.04 LTS
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Network Simulator: ns-allinone-3.40
🛠️ Step 1: Install All Required Dependencies
Open your terminal and execute the following commands one by one:
These packages are essential to build and run NS3 with OpenGym support.
📦 Step 2: Download and Build NS3 (ns-allinone-3.40)
Download the NS3 source from the official site:
🔗 Download ns-allinone-3.40.tar.bz2
After downloading, move it to your home directory and extract it:
Then in your terminal:
This step may take a while, depending on your system. Wait until the build completes.
🤖 Step 3: Clone and Integrate ns3-gym (OpenGym)
In a new terminal, run:
If the build finishes without errors, congratulations! You’re ready to start running RL simulations.
🧪 Step 4: Install ns3gym (Python3 Module)
You’re now ready to run sample reinforcement learning scripts!
🧬 Run Example Scripts
Run a quick test to verify the setup:
Or, run the NS3 simulation and Gym agent in two separate terminals.
Terminal 1:
Terminal 2:
📡 Bonus: RL for TCP Congestion Control
🎥 Watch the demo here (Members only)
Unlock advanced NS3 simulations using reinforcement learning in network protocols.
🙌 Wrap-Up
With this setup, you can now begin developing and testing AI-powered networking solutions using NS3-Gym on Ubuntu 24.04. If you found this guide helpful:
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Stay tuned for upcoming tutorials on deep reinforcement learning, custom environments, and more!
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