Large deviations analysis of SSMA communication systems with spreading sequences of Markov chains
Hiroshi Fujisaki · 2008
In this report we consider asynchronous spread spectrum multiple access (SSMA) communication systems with spreading sequences of Markov chains. We show that, given phase shifts and time delays, the empirical mean of the multiple access interference (MAI) for such systems satisfies the conditional large deviation 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.