Joint statistical modeling of received power, mean delay, and delay spread for indoor wideband radio channels

Ayush Bharti, Laurent Clavier, Troels Pedersen

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Resumé

We propose a joint statistical model for the received power, mean delay, and rms delay spread, which are derived from the temporal moments of the radio channel responses. Indoor wideband measurements from two different data sets show that the temporal moments are strongly correlated random variables with skewed marginals. Based on the observations, we propose a multivariate log-normal model for the temporal moments, and validate it using the experimental data sets. The proposed model is found to be flexible, as it fits different data sets well. The model can be used to jointly simulate the received power, mean delay, and rms delay spread. We conclude that independent fitting and simulation of these statistical properties is insufficient in capturing the dependencies we observe in the data.
OriginalsprogEngelsk
TitelEuropean Conference on Antennas and Propagation
Antal sider5
StatusAccepteret/In press - 2020

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Random variables
Statistical Models

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@inproceedings{56065336873444518c6c67c57fcc3606,
title = "Joint statistical modeling of received power, mean delay, and delay spread for indoor wideband radio channels",
abstract = "We propose a joint statistical model for the received power, mean delay, and rms delay spread, which are derived from the temporal moments of the radio channel responses. Indoor wideband measurements from two different data sets show that the temporal moments are strongly correlated random variables with skewed marginals. Based on the observations, we propose a multivariate log-normal model for the temporal moments, and validate it using the experimental data sets. The proposed model is found to be flexible, as it fits different data sets well. The model can be used to jointly simulate the received power, mean delay, and rms delay spread. We conclude that independent fitting and simulation of these statistical properties is insufficient in capturing the dependencies we observe in the data.",
keywords = "temporal moments, mean delay, rms delay spread, multivariate log-normal, wideband radio channels, indoor propagation",
author = "Ayush Bharti and Laurent Clavier and Troels Pedersen",
year = "2020",
language = "English",
booktitle = "European Conference on Antennas and Propagation",

}

Joint statistical modeling of received power, mean delay, and delay spread for indoor wideband radio channels. / Bharti, Ayush; Clavier, Laurent; Pedersen, Troels.

European Conference on Antennas and Propagation. 2020.

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

TY - GEN

T1 - Joint statistical modeling of received power, mean delay, and delay spread for indoor wideband radio channels

AU - Bharti, Ayush

AU - Clavier, Laurent

AU - Pedersen, Troels

PY - 2020

Y1 - 2020

N2 - We propose a joint statistical model for the received power, mean delay, and rms delay spread, which are derived from the temporal moments of the radio channel responses. Indoor wideband measurements from two different data sets show that the temporal moments are strongly correlated random variables with skewed marginals. Based on the observations, we propose a multivariate log-normal model for the temporal moments, and validate it using the experimental data sets. The proposed model is found to be flexible, as it fits different data sets well. The model can be used to jointly simulate the received power, mean delay, and rms delay spread. We conclude that independent fitting and simulation of these statistical properties is insufficient in capturing the dependencies we observe in the data.

AB - We propose a joint statistical model for the received power, mean delay, and rms delay spread, which are derived from the temporal moments of the radio channel responses. Indoor wideband measurements from two different data sets show that the temporal moments are strongly correlated random variables with skewed marginals. Based on the observations, we propose a multivariate log-normal model for the temporal moments, and validate it using the experimental data sets. The proposed model is found to be flexible, as it fits different data sets well. The model can be used to jointly simulate the received power, mean delay, and rms delay spread. We conclude that independent fitting and simulation of these statistical properties is insufficient in capturing the dependencies we observe in the data.

KW - temporal moments

KW - mean delay

KW - rms delay spread

KW - multivariate log-normal

KW - wideband radio channels

KW - indoor propagation

M3 - Article in proceeding

BT - European Conference on Antennas and Propagation

ER -