A Taxonomical and Analytical Study of Fading in Wireless Communication Systems
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Abstract
In wireless communication systems, fading is a crucial phenomenon that has a big influence on system performance, signal quality, and dependability. A thorough taxonomical and analytical analysis of fading is presented in this research, which provides an organized classification based on statistical models, channel properties, and underlying causes. Path loss, shadowing, Rayleigh, Rician, and Nakagami-m fading are some of the subclasses of fading that are further described in the paper, which divides fading into large-scale and small-scale forms. The performance deterioration caused by each type of fading is assessed using analytical models, and their effects on important system metrics including capacity, signal-to-noise ratio (SNR), and bit error rate (BER) are also covered. The study also examines current mitigation strategies, such as adaptive modulation, diversity schemes, and error correction coding. This research offers important insights for developing reliable and effective wireless communication systems in a variety of fading settings by connecting theoretical models with real-world applications.
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