Unified Probability Distributions of Generalized Composite Fading with Inverse-Type Distributions of Large-Scale Shadowing/Fluctuations

Chin Choy Chai,Xiao-Ping Zhang

ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)(2024)

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摘要
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.
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关键词
Unified Probability,Radiofrequency,Performance Metrics,Probability Density Function,Composite Model,Fading Channel,Composition Distribution,Optical Channel,Fading Model,Free-space Optical Communication,Radio Frequency Communication,Moment Generating Function,Empirical Data,Lognormal,Infinite Series,Variable Transformation,Instantaneous Amplitude,Truncated Form,Instantaneous Power,Inverse Gamma,Symbol Error Rate,Parameters B1,Small-scale Fading,Multipath Components,Free-space Wave,Polynomial Series,Free-space Propagation,Numerical Distribution,Optical Generation
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