# A Comparison of Stochastic and Deterministic Channel Models for V2V Applications ## 2-3 Sentence Summary There is no suggestion of stochastic or deterministic models for V2V applications, however the stochastic model predicts a higher packet error rate than the deterministic model. Simple scenarios may benefit from stochastic models (with less computation needed). ## Notes Compares 2 [channel models](../../../../Concepts/General/channel%20model.md) - ModBed ray optical deterministic vs. Quadriga stochastic. [Link level](Link%20level.md) simulator Two options - predict analytically ([ray tracing](../../../../Concepts/General/Ray-tracing.md)) or statistically. Questionable if stochastic model can model anything beyond what the measurement campaign measured. [power delay profile](../../../../Concepts/General/power%20delay%20profile.md) considered. [packet error rate](../../../../Concepts/General/packet%20error%20rate.md) is compared > It should be noted that the minimum needed received power S for any given communication pair depends on the one hand on the link configuration parameters as code rate and [data rate](../../../../Concepts/General/data%20rate.md) and on the other hand on various RX specific parameters, especially the noise figure and the channel estimation algorithms. [1] ## References 1. [A_Comparison_of_Stochastic_and_Deterministic_Channel_Models_for_V2V_Applications](../../Spaces/University/Thesis/literature%20review/2nd%20-%20basic/A_Comparison_of_Stochastic_and_Deterministic_Channel_Models_for_V2V_Applications.pdf)