Digital Twins Architecture

UrbanMARL models multi-layered digital twins capturing complex physical, electromagnetic, queuing, and mobility dynamics of 6G urban and aerial networks:

• Geospatial 3D Urban Map Digital Twin
  • Procedural Map Parameters
  • Batched Map Generation
  • GPU-Accelerated 3D Ray-Casting & Line-of-Sight (LoS)
  • Building Collision Detection
• Rotary-Wing Aerodynamics Digital Twin
  • Theoretical Foundation
  • Propulsion Power Formulations
  • Standard Aerodynamic Parameters
  • Battery Depletion Dynamics
  • Python Usage Example
• 360° LiDAR Rangefinder Digital Twin
  • Overview & Sensor Geometry
  • Ray-Marching Over ITU-R P.1410 3D Heightmaps
  • Sensor Configuration Parameters
  • Observation Space Integration
  • Python Usage Example
• Kinematic & Mobility Digital Twin
  • UAV 3D Kinematics
  • Ground User Mobility Engine
  • Python Usage Example
• Radio Network Digital Twin
  • Propagation Path Loss Model
  • SINR & Shannon Data Rates
  • Vectorized Channel Computation
• MEC Queue Digital Twin
  • M/M/c Queuing Dynamics
  • Erlang-C Queue Waiting Probability
  • Average Waiting & Execution Delay
  • Vectorized PyTorch Implementation