Unified Probability Distributions of Generalized Composite Fading with Inverse-Type Distributions of Large-Scale Shadowing/Fluctuations
Chin Choy Chai, Xiao-Ping Zhang
Abstract
Based on novel inverse-type PDF formulae for large-scale shadowing/fluctuations, we derive novel unified probability density functions (PDFs) and moment generating function (MGF) formulae that characterize wide ranging of generalized composite fading distributions in radio frequency and free-space optical wireless communications channels. By specifying four fading parameters according to specific composite fading models, the unified PDF and MGF formulae enable us to unify and characterize wide ranging of existing and numerous novel generalized composite fading distributions. These unified PDF and MGF formulae are applicable for deriving generalized performance metrics that can in turn be further specified and evaluated according to various known and numerous generalized composite fading channel models.
BibTeX
@inproceedings{icassp2024_unifiedprobabili,
title = {Unified Probability Distributions of Generalized Composite Fading with Inverse-Type Distributions of Large-Scale Shadowing/Fluctuations},
author = {Chin Choy Chai and Xiao-Ping Zhang},
booktitle = {ICASSP 2024},
year = {2024}
}