Approach to QoS Prediction Leveraging Impact of Beaulieu-Xie Fading and κ-µ Co-Channel Interference on SC Diversity Receiver Outage Probability

Abstract

In this paper, we analyze the outage probability ($P_{out}$) at the output of a multi-branch diversity receiver using selection combining (SC) in a wireless environment disturbed by Beaulieu-Xie (BX) fading and k-µ co-channel interference (CCI). BX fading model contains features of Rician fading model as well as Nakagami-m fading model giving thanks to the flexible fading parameters which enable inclusion of both, the line of sight (LOS) and the non-LOS (NLOS) components of the transmitted signal. Expressions for the probability density function (PDF) and cumulative distribution function (CDF) for the output signal-to-co-channel interference ratio (SIR) are derived. After that, the numerical results for $P_{out}$ depending on the SIR for different values of fading and CCI parameters are presented and their impact to $P_{out}$ is examined. Finally, we make use of the derived expression for outage probability as one of the inputs within classification-based fading-aware Quality of Service (QoS) prediction model and evaluate it using our simulation environment. For purpose of implementation, we rely on Weka API in Java.