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

Ayush Bharti, Laurent Clavier, Troels Pedersen

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

1 Citation (Scopus)
44 Downloads (Pure)

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.
Original languageEnglish
Title of host publication2020 14th European Conference on Antennas and Propagation (EuCAP)
Number of pages5
PublisherIEEE
Publication date8 Jul 2020
Article number9135412
ISBN (Print)978-1-7281-3712-4
ISBN (Electronic)978-88-31299-00-8
DOIs
Publication statusPublished - 8 Jul 2020
Event 14th European Conference on Antennas and Propagation - Copenhagen, Copenhagen, Denmark
Duration: 15 Mar 202020 Mar 2020
Conference number: 14
https://www.eucap2020.org/

Conference

Conference 14th European Conference on Antennas and Propagation
Number14
LocationCopenhagen
CountryDenmark
CityCopenhagen
Period15/03/202020/03/2020
Internet address

Keywords

  • temporal moments
  • mean delay
  • rms delay spread
  • multivariate log-normal
  • wideband radio channels
  • indoor propagation

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