Large-Scale Analysis and Modeling for Indoor Propagation at 10 GHz

Lopes, Andréia V. R.; Batalha, Iury; Gomes, Cristiane Ruiz

doi:10.1590/2179-10742020v19i2858

Cited by 1 publication

(1 citation statement)

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“…The point-to-point standard deviation is a valuable tool for investigating the variations in the received power in different propagation measurement experiments, as reported in [26,38]. Fig.…”

Section: Point To Point Standard Deviation Variations Of Received Powermentioning

confidence: 99%

Analysis and Modeling of Propagation in Tunnel at 3.7 and 28 GHz

Samad¹,

Choi²

2022

Computers, Materials &Amp; Continua

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In present-day society, train tunnels are extensively used as a means of transportation. Therefore, to ensure safety, streamlined train operations, and uninterrupted internet access inside train tunnels, reliable wave propagation modeling is required. We have experimented and measured wave propagation models in a 1674 m long straight train tunnel in South Korea. The measured path loss and the received signal strength were modeled with the Close-In (CI), Floating intercept (FI), CI model with a frequency-weighted path loss exponent (CIF), and alpha-beta-gamma (ABG) models, where the model parameters were determined using minimum mean square error (MMSE) methods. The measured and the CI, FI, CIF, and ABG modelderived path loss was plotted in graphs, and the model closest to the measured path loss was identified through investigation. Based on the measured results, it was observed that every model had a comparatively lower (n < 2) path loss exponent (PLE) inside the tunnel. We also determined the path loss component's possible deviation (shadow factor) through a Gaussian distribution considering zero mean and standard deviation calculations of random error variables. The FI model outperformed all the examined models as it yielded a path loss closer to the measured datasets, as well as a minimum standard deviation of the shadow factor.

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Section: Point To Point Standard Deviation Variations Of Received Powermentioning

confidence: 99%