Alpha-x Framework for Assessing Network Robustness in Nakagami-m Fading and Co-Channel Interference Environments

This article explores how the Alpha-x framework can improve network robustness under Nakagami-m fading and co-channel interference (CI), The study evaluates network performance using key metrics such as outage probability, spectral efficiency, and capacity degradation. The simulations show a 50% reduction in outage probability, a 20% boost in spectral efficiency, and a 33.3% lower capacity degradation compared to traditional models. These results demonstrate how the Alpha-x framework enhances network performance by adapting to various fading conditions and interference levels in wireless communication systems. The framework not only improves reliability and efficiency but also shows practical relevance in network planning and management. This can potentially lead to better user experiences and increased operational resilience. Future research could focus on optimizing the underlying algorithms and testing their performance on a larger scale in real-world environments. As telecommunications systems evolve, frameworks like Alpha-x could play a crucial role in ensuring reliable and efficient wireless networks.

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Published
2024-11-21
DOI
https://doi.org/10.1109/delcon64804.2024.10866711
Primary Topic
Advanced MIMO Systems Optimization
Type
article
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article

Alpha-x Framework for Assessing Network Robustness in Nakagami-m Fading and Co-Channel Interference Environments

Mridul Gupta, Shiv Ashish Dhondiyal, Abhay Upadhyay, Deepak Upadhyay et al.
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Advanced MIMO Systems Optimization
article

Alpha-x Framework for Assessing Network Robustness in Nakagami-m Fading and Co-Channel Interference Environments

Mridul Gupta, Shiv Ashish Dhondiyal, Abhay Upadhyay, Deepak Upadhyay, Kunj Bihari Sharma, Karan Siwach
article en

Abstract

This article explores how the Alpha-x framework can improve network robustness under Nakagami-m fading and co-channel interference (CI), The study evaluates network performance using key metrics such as outage probability, spectral efficiency, and capacity degradation. The simulations show a 50% reduction in outage probability, a 20% boost in spectral efficiency, and a 33.3% lower capacity degradation compared to traditional models. These results demonstrate how the Alpha-x framework enhances network performance by adapting to various fading conditions and interference levels in wireless communication systems. The framework not only improves reliability and efficiency but also shows practical relevance in network planning and management. This can potentially lead to better user experiences and increased operational resilience. Future research could focus on optimizing the underlying algorithms and testing their performance on a larger scale in real-world environments. As telecommunications systems evolve, frameworks like Alpha-x could play a crucial role in ensuring reliable and efficient wireless networks.

Graphic Era University (IN)
Openalex Percentile: Top 75%
Advanced MIMO Systems Optimization
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