Wang, YiranNoel, AdamYang, Nan2023-08-291536-1241http://hdl.handle.net/1885/296950A novel a priori Monte Carlo (APMC) algorithm is proposed to accurately simulate the molecules absorbed at spherical receiver(s) with low-computational complexity in diffusion-based molecular communication (MC) systems. It is demonstrated that the APMC algorithm achieves high-simulation efficiency since by using this algorithm, the fraction of molecules absorbed for a relatively large time step length precisely matches the analytical result. Therefore, the APMC algorithm overcomes the shortcoming of the existing refined Monte Carlo (RMC) algorithm, which enables accurate simulation for a relatively small time step length only. Moreover, for the RMC algorithm, an expression is proposed to quickly predict the simulation accuracy as a function of the time step length and system parameters, which facilitates the choice of simulation time step for a given system. Furthermore, a likelihood threshold is proposed for both the RMC and APMC algorithms to significantly save computational complexity while causing an extremely small loss in accuracy.The work of A. Noel was supported in part by the Natural Sciences and Engineering Research Council of Canada (NSERC) through a postdoctoral fellowship. The material in this paper was presented in part at the International Workshop on Molecular, Biological and Multiscale Communications, IEEE International Conference on Sensing, Communication and Networking (IEEE SECON 2018), Hong Kong, China in June 2018 [1]. (Corresponding author: Nan Yang.)application/pdfen-AUDiffusion-based molecular communicationabsorbing receiversmolecular communication simulationMonte Carlo method201910.1109/TNB.2019.29105562022-07-24