Leveraging channel capacity of wireless system with multibranch selection combiner impacted by κ − μ fading and co-channel interference for quantum machine learning QoS level prediction
Dragana S. Krstic, Suad Suljović, Nenad Petrović, Dalibor Dobrilović, Devendra Singh Gurjar, Suneel Yadav · 2023
This paper considers the general κ − μ fading distribution, for which fading model this distribution is proposed. First, an expression for the channel capacity (CC) of multi-branch selection combiner influenced by κ − μ small-term fading and co-channel interference (CCI) with κ − μ distribution, is derived. κ − μ distribution is matched for line-of-sight (LOS) conditions in wireless systems. Then, a few figures are plotted to stand out the impact of small-term fading and CCI on the CC. Finally, the CC expression is leveraged for quantum machine learning-based Quality of Service (QoS) level and consumer number predictions inside network modeling, planning and simulation environment.