Determining the ABEP under the Influence of K -µ Fading and CCI with SC combining at L-branch Receiver Using Moment Generating Function

Abstract

In this work, the useful signal suffering disappearance of small scale fading described by k-µ distribution, as well as k-µ co-channel disturbance, will be observed. The moment generating function (MGF)-based calculation of average bit error probability (ABEP) of L-branch selection combining (SC) receiver under the influence of these disturbances will be made. The results will be shown graphically in order to analyze influence of the fading and co-channel interference parameters. Then, a classification-based machine learning approach in order to estimate Quality of Service (QoS) making use of the previously derived ABEP value as one of the inputs is proposed. For implementation, we rely on PyTorch framework for neural networks in synergy with ZenML for machine learning pipeline automation.