The parallel simulation functionality of the compute_path function in mobile scenarios.

[wang-chenlong]

The compute_path function performs parallel computation based on the number of transmitters and receivers in the scene to obtain the RT results for each transmitter-receiver pair. In mobility simulations, if the object in scene remains unchanged and only the receiver positions change, can multiple receiver positions be added simultaneously for parallel computation to speed up the process? This computation result seems to be independent. However, when objects in the scene, such as cars, need to move, how should the setup be configured to achieve parallel computation? This is because the scene seems to be unique in each calculation.

[faycalaa]

Hi @wang-chenlong ,

Sorry for the late reply.

In a nutshell, you are correct:

• You can simulate a moving device by positioning multiple receivers along the device's trajectory. However, note that the compute time for path tracing does not scale well with the number of receivers, which can slow down computation (see Fig 17b in the technical report).
• If scene objects are moved, recomputation is needed at every step. However, if the objects are moved over short time spans and cover very short distances, you could simulate time evolution through the computation of the Doppler shift. This is detailed in the tutorial on mobility.