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

ConTEL(2023)

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摘要
In this paper, we analyze the outage probability ( Pout) at the output of a multi-branch diversity receiver using selection combining (SC) in a wireless environment disturbed by Beaulieu-Xie (BX) fading and kappa-mu 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 Pout depending on the SIR for different values of fading and CCI parameters are presented and their impact to Pout 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.
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关键词
Beaulieu-Xie fading, kappa-mu co-channel interference, outage probability, selection combining, machine learning, Quality of Service, classification
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