Bit error rate approximations using Poisson and negative binomial sampling distributions

摘要

A recently discovered link between Poisson random variables and the standard Marcum Q-function is applied to the estimation of bit error rates (BERs) in digital communications. This results in simple probabilistic representations for BERs, and consequently Monte Carlo estimators are constructed.