The authors present an adaptive importance sampling (AIS) technique for estimating the bit error rate of a digital communications system over a correlated Rayleigh fading channel. The technique reduces the computer simulation time significantly and simplifies the procedure of choosing an optimally-biased density function of the channel fading process.