Home // International Journal On Advances in Systems and Measurements, volume 17, numbers 1 and 2, 2024 // View article

Network Experimental Workflow Leveraging MDE and LLM: Case Study of Wireless System Performance in an α-µ Fading Environment with Selection Diversity Receiver

Authors:
Dragana Krstic
Suad Suljovic
Nenad Petrovic
Goran Djordjevic
Devendra S. Gurjar
Suneel Yadav

Keywords: α-µ fading; Co-Channel Interference (CCI); Large Language Model (LLM); Model-driven engineering (MDE); Selection Combining (SC)

Abstract:
In this paper, a wireless system in the presence of α-µ fading and Co-Channel Interference (CCI) is observed. CCI, a sort of congestion in wireless systems, often has the same distribution as the fading in the observed environment. The α−µ distribution used here is a common model for small-scale fading of THz links. We used diversity receiver with Selection Combining (SC) to mitigate these adverse effects of fading and CCI. For wireless system configured with SC receiver, we derived the Average Bit Error Probability (ABEP) based on the Moment Generating Function (MGF), the level crossing rate (LCR), the average fade duration (AFD), and the channel capacity (CC). The analytical results are presented in a greater number of graphics to highlight the parameters' influence of fading and CCI. Additionally, we propose a workflow for convenient network planning leveraging the synergy of Large Language Models (LLMs) and model-driven engineering (MDE) approach, making use of the previously derived expressions within the evaluation scenario.

Pages: 56 to 66

Copyright: Copyright (c) to authors, 2024. Used with permission.

Publication date: June 30, 2024

Published in: journal

ISSN: 1942-261x