NetSim + Generative AI
Pair NetSim's full-source 5G/6G simulator with AI coding agents to build, run, and calibrate digital twins from the command line. What once took weeks now takes hours.
The Challenge
Traditional 5G/6G algorithm development is slow and fragmented. Researchers iterate between reading 3GPP specs, writing C code, building DLLs, running simulations, and analyzing results. Each cycle takes hours to days.
- Manual C edits - modify source, fix compiler errors, rebuild DLL each iteration
- GUI-bound sims - configure scenarios manually with limited automation
- Disconnected analysis - manually cross-reference metrics, radio measurements, and packet traces
- Weeks per cycle - algorithm development and digital twin calibration takes weeks of effort
The Solution: AI-Driven Development Loop
An AI coding agent operates as an interactive co-developer with full access to NetSim's C source, build system, simulation engine, and results.
The AI coding agent:
- Understands 3GPP specs, design notes, and research papers
- Reads and edits NetSim source code (PHY, MAC, MIMO, OLLA, AMC, RLC)
- Builds the DLL via MSBuild from the terminal
- Creates scenarios and runs simulations from the command line
- Parses performance metrics (SINR, MCS, throughput, latency)
- Iterates autonomously on algorithms and hyperparameters
Iterations that previously took months now take hours.
Digital Twin Calibration Workflow
NetSim's digital twin capability replicates physical network deployments as parameterized simulation environments. The AI agent drives the full calibration loop.
Calibration Loop
- Collate - specs, algorithms, and field data
- Configure - PHY, MIMO, scheduling, traffic
- Sweep - batch CLI execution, multi-parameter
- Analyze - simulated vs. field measurements
- Calibrate - close the gap automatically
No GUI required. Launch simulations directly from the terminal via NetSimCore.exe.
Requirements, Analysis, and Results
The AI agent operates on your reference material and simulation outputs simultaneously, grounding every tuning decision in specification-level data.
What Goes In
- 3GPP specification extracts
- Research papers and design notes
- BLER reference curves and archived results
- Real network telemetry and field measurements
What the AI Does
- Cross-references diagnostics with theoretical data
- Compares measured vs. expected performance
- Identifies divergence and proposes tuned parameters
What You Get
- Calibrated simulation parameters
- Validated digital twin models with full audit trail
- Faster convergence to target performance
NetSim CLI Mode: The Key Enabler
NetSim's command-line interface is what makes AI-driven simulation possible. Describe what you want in natural language; the AI configures and runs it.
You describe, the AI executes
- "Create a scenario with 7 gNBs and 50 UEs per gNB"
- "Sweep across 2%, 5% and 10% BLER targets"
- "Compare full buffer and partial traffic loads"
- "Validate digital twin against field measurements"
The AI configures the digital twin, runs all scenario variants, logs every result, and proposes calibration adjustments.
Example: Tuning Outer Loop Link Adaptation
A concrete calibration cycle for OLLA. The AI agent drives the full six-step loop, compressing weeks of manual effort into hours.
Six-step calibration cycle
- Start from SINR-BLER-MCS reference tables and formulas
- Modify C source for OLLA algorithms and hyperparameters
- Build DLL via MSBuild
- Run batch simulation sweep across scenarios
- Analyze throughput for different BLER targets across MCS values
- Validate against published literature and field data
Weeks for full calibration
Hours for full calibration
Accelerate Your 5G/6G R&D
NetSim's combination of full source access, CLI simulation, and digital twin modeling pairs with AI tools to compress months of development into hours.
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