Utilizing LCR of Wireless System with SC Receiver Weakened by Beaulieu-Xie Fading and κ-¼ Interference for Machine Learning-Based QoS Prediction.

For applications in wireless systems, accurate channel modeling is necessary. Since there were no precise distributions for modeling channels consisting of more line-of-sight (LOS) likewise non-LOS signals components, many theoretical investigations based on practical measurements in wireless channels were done in last years. Because of that, a new Beaulieu-Xie (BX) distribution for modeling wireless systems that contain more than one dominant specular component was defined. Beside new BX fading, the co-channel interference (CCI) also disturbs observed wireless system. The CCI in this system is κ-¼ distributed. The most efficient tools to mitigate the impact of these disturbances are diversity combining schemes. Here, the selection combining is used as inexpensive and good enough way for improving system performance. In this place, we derived the expression for the signal to interference ratio (SIR) based level crossing rate (LCR) for such configuration. We ploted some figures of the LCR versus SIR and analyzed how the parameters of BX fading and κ-¼ CCI affect the displayed LCR. Additionally, the calculated LCR is utilized as one of input variables within classification model for Quality of Service (QoS) degree prediction implemented using Weka library in Java.