Markov chain Monte Carlo

Monte Carlo integration

Hybrid Monte Carlo

Quantum Monte Carlo

Algorithm

Engineering

Statistics

Importance sampling

Scattering

Dynamic Monte Carlo method

Computation

Telecommunications

Computer science

Statistical physics

Optical wireless

Physics

Monte Carlo molecular modeling

Mathematics

Optics

Impulse response

Electronic engineering

Mathematical analysis

Monte Carlo method

Quasi-Monte Carlo method

Wireless

Monte Carlo method in statistical physics

IEEE Transactions on Communications

Monte-Carlo models are analyzed for multiple scattering channels in optical wireless communications. It is demonstrated that the system impulse response function can be obtained by Monte-Carlo integration model. The convergence performance for the Monte-Carlo integration model is analyzed and improved by introducing different sampling methods. The simulation results show that the gamma function model for channel impulse response function can only be applied to the cases where the common volume between the transmitted light beam and the receiving field-of-view is open. Numerical simulation suggests that for a three-order scattering case, the computation efficiency of the Monte-Carlo integration model based on partial importance sampling is about 12 times of the original Monte-Carlo integration model based on uniform sampling, and 5.6 times of the widely used Monte-Carlo simulation model. The numerical results also show that the Monte-Carlo integration model based on partial importance sampling has higher computation efficiency than the Monte-Carlo simulation model in a higher-order scattering communication scenario.

Monte-Carlo Integration Models for Multiple Scattering Based Optical Wireless Communication