Adaptive Strategies for Maximizing Spectral Efficiency in dual branch MRC Systems Facing non-Uniform Fading Patterns

The presented research paper investigates the development and performance of adaptive strategies for non-uniform fading patterns in dual-branch Maximal Ratio Combining systems. The study employs key enabling strategies, including power control, adaptive modulation, and antenna selection, with the purpose of improving the spectral efficiency and reliability of wireless communication systems. Conducting simulations in MATLAB and Python, this paper presents a comprehensive analysis using heatmaps, 3D surface plots, and dynamic simulation outputs to show the effect of the strategies under different Signal-to-Noise Ratios and fading conditions. The outcomes, illustrated in a clear-cut manner in the visuals, reveal that the adaptive strategies lead to a drastic reduction in the Bit Error Rates and a more optimal distribution of power across the branches, ensuring highly effective performance even in the case of the most challenging non-uniform fading patterns. Ultimately, the research findings show sight into the necessity of adaptive strategies to ensure proper coverage and quality of communication in non-uniform fading conditions, which novel research could benefit from.

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Publication Details

Published
2024-10-24
DOI
https://doi.org/10.1109/iemecon62401.2024.10846225
Citations
6
Primary Topic
Advanced Wireless Communication Techniques
Type
article
Field-Weighted Citation Impact
1.25
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article

Adaptive Strategies for Maximizing Spectral Efficiency in dual branch MRC Systems Facing non-Uniform Fading Patterns

Mridul Gupta, Abhay Upadhyay, Deepak Upadhyay, Kunj Bihari Sharma et al.
6 citations
Advanced Wireless Communication Techniques
1.25
article

Adaptive Strategies for Maximizing Spectral Efficiency in dual branch MRC Systems Facing non-Uniform Fading Patterns

Mridul Gupta, Abhay Upadhyay, Deepak Upadhyay, Kunj Bihari Sharma, Rashmi Sharma
article en
6 citations

Abstract

The presented research paper investigates the development and performance of adaptive strategies for non-uniform fading patterns in dual-branch Maximal Ratio Combining systems. The study employs key enabling strategies, including power control, adaptive modulation, and antenna selection, with the purpose of improving the spectral efficiency and reliability of wireless communication systems. Conducting simulations in MATLAB and Python, this paper presents a comprehensive analysis using heatmaps, 3D surface plots, and dynamic simulation outputs to show the effect of the strategies under different Signal-to-Noise Ratios and fading conditions. The outcomes, illustrated in a clear-cut manner in the visuals, reveal that the adaptive strategies lead to a drastic reduction in the Bit Error Rates and a more optimal distribution of power across the branches, ensuring highly effective performance even in the case of the most challenging non-uniform fading patterns. Ultimately, the research findings show sight into the necessity of adaptive strategies to ensure proper coverage and quality of communication in non-uniform fading conditions, which novel research could benefit from.

Symbiosis International University (IN), Graphic Era University (IN)
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Openalex Percentile: Top 19%
Advanced Wireless Communication Techniques
1.25
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