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Semi‐Analytical Model of the Rician K ‐Factor
Author(s) -
Alayón Glazunov Andrés,
Razavi Aidin,
Maaskant Rob,
Yang Jian
Publication year - 2020
Publication title -
radio science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.371
H-Index - 84
eISSN - 1944-799X
pISSN - 0048-6604
DOI - 10.1029/2020rs007099
Subject(s) - rician fading , scattering , signal (programming language) , physics , method of moments (probability theory) , computational physics , fading , wireless , extremely high frequency , mimo , relevance (law) , statistical physics , computer science , telecommunications , optics , mathematics , statistics , channel (broadcasting) , decoding methods , estimator , law , political science , programming language
The analysis of the performance of 5G wireless communication systems employing Massive MIMO at millimeter‐wave frequencies is of great practical relevance. Of special relevance are the signal fluctuations. In the present paper, we introduce a semi‐analytical model for a generic scattering environment by using randomly distributed resonant scatterers to investigate the impact of the size of the scattering environment, the scatterer density, and the number of scatterers on the signal variability in terms of the Rician K ‐factor as a function of frequency. We further present an investigation of the impact of scattering on the frequency dependence of the signal fading statistics in the 500 MHz–100 GHz band. The simplified model is also verified against full‐wave simulation using the Method of Moments (MoM).