Leveraging Outage probability in system limited by BX fading and Co-channel interference for ChatGPT-enabled QoS adaptation

In this paper, we performed an analysis of the outage probability $(P_{\mathrm{out}})$ at the output of the receiver with selection combination (SC) with L branches of the wireless communication system in the presence of Beaulieu-Xie (BX) fading and BX co-channel interference (CCI). The mathematical form of the function for $P_{\mathrm{out}}$ as a normalized signal-to-interference ratio (SIR) was derived, based on which a graph was drawn for different values of fading and CCI parameters. The second part of the paper considers applying machine learning approach relying on ChatGPT with aim to enable fading type recognition based on $P_{\mathrm{out}}$ measurements, which can be further used in order to perform Quality of Service (QoS) adaptation by tuning receiver’s parameters.