Large Deviations Analysis of Interference Cancellation for SSMA Communication Systems with Spreading Sequences of Markov Chains

Abstract

In this report we consider adaptive multistage in- terference cancellation within asynchronous spread spectrum multiple access (SSMA) communication systems using spreading sequences of Markov chains. We show that for synchronous systems, the empirical mean of the multiple access interference (MAI) at the second stage of interference cancellation satisfies the large deviations principle (LDP) with the convex, good rate function. By refinement of the large deviations analysis, we obtain exact asymptotics of bit error probabilities in such systems. We also discuss evaluations of bit error probabilities in asynchronous systems based on the LDP.