GenAI-enabled Network Design for the Case of the Outage Probability of a Beaulieu-Xie Wireless Fading Environment with Maximal Ratio Combining

This paper discusses the outage probability (Pout) based on the average output signal-to-noise ratio (SNR) in the wireless system with Maximal Ratio Combining (MRC) receiver with L branches. In this system, the fading described by the Beaulieu-Xie (BX) distribution is present. Based on some plotted graph, an analysis of fading parameters to Pout is done. Additionally, we investigate the use of Generative Artificial Intelligence (GenAI) techniques to aid network experimentation and reduce the cognitive burden. A proof-of-concept implementation is showcased using the Pout case study introduced in the first part of the paper.

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Publication Details

Published
2025-09-15
DOI
https://doi.org/10.1109/elmar66948.2025.11193751
Citations
2
Primary Topic
Advanced MIMO Systems Optimization
Type
article
Field-Weighted Citation Impact
1.46
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article

GenAI-enabled Network Design for the Case of the Outage Probability of a Beaulieu-Xie Wireless Fading Environment with Maximal Ratio Combining

Dragana Krstić, Suad Suljović, Nenad Petrović
2 citations
Advanced MIMO Systems Optimization
1.46
article

GenAI-enabled Network Design for the Case of the Outage Probability of a Beaulieu-Xie Wireless Fading Environment with Maximal Ratio Combining

Dragana Krstić, Suad Suljović, Nenad Petrović
article en
2 citations

Abstract

This paper discusses the outage probability (Pout) based on the average output signal-to-noise ratio (SNR) in the wireless system with Maximal Ratio Combining (MRC) receiver with L branches. In this system, the fading described by the Beaulieu-Xie (BX) distribution is present. Based on some plotted graph, an analysis of fading parameters to Pout is done. Additionally, we investigate the use of Generative Artificial Intelligence (GenAI) techniques to aid network experimentation and reduce the cognitive burden. A proof-of-concept implementation is showcased using the Pout case study introduced in the first part of the paper.

University of Nis (RS), Metropolitan University (RS)
Openalex Percentile: Top 15%
Advanced MIMO Systems Optimization
1.46
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GenAI-enabled Network Design for the Case of the Outage Probability of a Beaulieu-Xie Wireless Fading Environment with Maximal Ratio Combining — Dragana Krstić, Suad Suljović, et al. · (2025) | TGRS Research Map | TGRS