Fast simulation of linear communication systems via conditional Monte Carlo analysis

Abstract

This paper presents a new technique for the fast simulation of the bit error rate and other statistical performance measures of communication systems. Whereas traditional fast simulation techniques are usually based on importance sampling, the proposed technique is based on conditional Monte Carlo analysis. One advantage over importance sampling is that the proposed technique is systematic in its design and is proved to be asymptotically optimal.