Communication Performance Analysis of Wireless Multiple Access Channel with Specially Correlated Sources

Abstract

From practical and theoretical viewpoints, performance analysis of the communication systems by using information-theoretic results is very important. In this study, first, we obtain a general achievable rate for tow-user wireless multiple access channel (MAC) with specially correlated sources as a more general version for continuous alphabet MACs, by extending the known discrete alphabet results to the wireless continuous alphabet version. Next, the impact of wireless channel coefficients correlation on the performance metrics by using Copula theory, as the most convenient way for describing the dependence between several variables, is investigated and by applying the Farlie-Gumbel-Morgenstern (FGM) Copula function, we obtain a closed-form expressions for the outage probability (OP) under positive / negative dependence conditions. It is shown that the fading correlation improves the OP for negative dependence structure. Specifically, whenever the dependence structure tends to negative values, the OP decreases and the efficiency of the channel increases. Finally, the efficiency of the analytical results is illustrated numerically.