LLM-Enabled Network Experimentation Workflow: Channel Capacity of SC Diversity Receiver with $\boldsymbol{L}$ Branches in $\boldsymbol{\alpha}-\boldsymbol{\mu}$ Fading and Weibul Co-Channel Interference Environment Case Study

In this paper, a model of a wireless SC receiver with
$\boldsymbol{L}$
input branches is considered, which is used to reduce the effects of short fading and co-channel interference (CCI) on system performance. The useful signal at the receiver has an
$\boldsymbol{\alpha}-\boldsymbol{\mu}$
distribution, while the Interfering Signal (CCI) has Weibull characteristics. In this paper, closed-form expressions for the channel capacity (CC) of the signal-to-interference ratio (SIR) system at the outputs of SC with
$\boldsymbol{L}$
branches are presented. We also propose a workflow for network experimentation, planning that combines the strengths of large language models (LLMs) and model-driven engineering (MDE), incorporating previously derived expressions into the evaluation process.