NetSim + Gen AI
NetSim + Generative AI
Last updated: June 2026
NetSim + Gen AI brings generative-AI coding agents into network simulation, so researchers move from idea to validated result in a fraction of the time. Pair NetSim's full-source 5G/6G simulator with an AI coding agent to build, run, and calibrate digital twins from the command line.
Gen AI adds an agentic coding layer over NetSim's full source code, automating model development across 5G/6G, satellite, MANET/VANET, IoT, LTE, and Wi-Fi networks. What once took weeks now takes hours.
Four pillars of the platform
Generative AI coding agents take network simulation from idea to validated result in a fraction of the time.
AI-driven simulation
Autonomous agents configure, launch, and refine network scenarios end-to-end, with no manual scripting.
Digital twin modeling
Build a live mirror of your network and calibrate it against real-world measurement data.
CLI automation
Translate plain-English intent into executable simulation steps from the command line.
Performance analytics
Throughput, latency, and KPI dashboards refresh on every iteration of the loop.
How it works: coding agents and the LLM loop
An AI coding agent reads, writes, builds, and runs code directly inside NetSim. It edits, runs, inspects, and adjusts, exactly as you would.
- Read files — ingest the XML config and source code.
- Write code — the agent edits the protocol modules.
- Run NetSim — compile the DLL and execute the simulation.
- Check results — evaluate KPIs, then iterate until optimised.
Configuration.netsim, protocol source (.c / .h)
Metrics.xml, CSV logs and KPI analysis
From understanding to automation
The agent works over NetSim's configuration, source code, and outputs, across the full span of simulation tasks.
A complete AI-native simulation toolkit
Everything the agent needs to develop, run, and validate models is in the box.
AI-driven simulation and automation
AI agents set up, run, and iteratively refine network scenarios with minimal human input.
Source code included
Full protocol source code ships with the product for deep, transparent customisation.
Python interface for AI/ML
Native Python hooks connect simulations to your AI/ML training and inference workflows.
Digital twin calibration
Continuously tune the digital twin against real-world measurement data for accuracy.
Natural-language CLI automation
Issue plain-English instructions; the agent runs the right commands for you.
Also includes
- Drag-and-drop GUI and XML design
- Packet and event animation
- Python, MATLAB, SUMO, Wireshark
- Results dashboard and KPI analytics
- Source C code and online debugging
- Batch CLI runs and parameter sweeps
Why teams choose it
The agent edits real source and runs real simulations, never a black box.
- Collapses weeks of edit/build/run cycles into hours of autonomous iteration.
- Edits NetSim's C source directly across PHY, MAC, RLC, and scheduling, never a black box.
- Every config, build, and result logged for reproducible, fully auditable experiments.
- Calibrates digital twins against 3GPP references and field measurements.
- Runs batch CLI sweeps over parameters, protocols, and seeds, parsed automatically.
Works with every NetSim protocol
The agent edits NetSim's source directly across all technology libraries.
Bring your own AI agent
Tool-agnostic by design. Drive NetSim from the coding agent your team already uses.
Works with the agents you know
NetSim exposes its source, build system, CLI, and outputs as plain files and commands, so any capable coding agent can drive it.
Get started in four steps
- Install your agentFor example,
npm install -g codex. - Open the workspace
cd NetSim-work\v15.0 - Add AGENTS.mdPoint it at your paths, configs, and CLI.
- Prepare the first run
set NETSIM_AUTO=1
Request a demo and evaluation
See NetSim + Gen AI on your project. Compress months of 5G/6G development into hours with full source access, CLI simulation, and AI-driven digital twin calibration.