SEAMCAT (Spectrum Engineering Advanced Monte Carlo Analysis Tool) is an open-source software tool maintained by the European Communications Office (ECO). It assesses potential radio interference between different wireless technologies. By using statistical Monte Carlo simulation techniques instead of rigid, pessimistic analytical models, SEAMCAT allows spectrum managers to optimize and maximize spectrum efficiency. Core Simulation Mechanism
Traditional Minimum Coupling Loss (MCL) methods assume absolute worst-case scenarios. SEAMCAT models the real world by treating system parameters as random variables:
Event Generation Engine (EGE): Simulates thousands of random snapshots (“events”).
Variable Modeling: Randomizes variables like spatial location, antenna orientation, and activity factor.
Interference Calculation Engine (ICE): Sums up the composite Interfering Received Signal Strength ( iRSScompi cap R cap S cap S sub c o m p end-sub
Threshold Comparison: Evaluates results against standard criteria like Carrier-to-Interference ( ) or Interference-to-Noise ( Advanced Techniques for Maximizing Spectrum Efficiency 1. Dynamic Spectrum Sharing & Cognitive Radio
Advanced users model Cognitive Radio (CR) devices operating inside active channels, such as TV White Spaces. SEAMCAT simulates the exact interference probability at the victim receiver location. This allows regulators to safely tighten or loosen guard bands based on actual risk rather than broad assumptions. 2. Advanced Antenna Plug-ins (Beamforming & MIMO)
Standard omnidirectional patterns overstate interference. Advanced techniques leverage Post-Processing Plug-ins (PPPs) and custom propagation plug-ins: ECO – Tools & Services – Tools – SEAMCAT – CEPT.org
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