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

Bharti, Ayush ; Adeogun, Ramoni ; Cai, Xuesong LU ; Fan, Wei ; Briol, François Xavier ; Clavier, Laurent and Pedersen, Troels (2021) In IEEE Transactions on Antennas and Propagation 69(8). p.4871-4882
Abstract

We propose a multivariate log-normal distribution to jointly model received power, mean delay, and root mean square (rms) delay spread of wideband radio channels, referred to as the standardized temporal moments. The model is validated using experimental data collected from five different measurement campaigns (four indoor scenarios and one outdoor scenario). We observe that the received power, the mean delay, and the rms delay spread are correlated random variables, and therefore, should be simulated jointly. Joint models are able to capture the structure of the underlying process, unlike the independent models considered in the literature. The proposed model of the multivariate log-normal distribution is found to be a good fit for a... (More)

We propose a multivariate log-normal distribution to jointly model received power, mean delay, and root mean square (rms) delay spread of wideband radio channels, referred to as the standardized temporal moments. The model is validated using experimental data collected from five different measurement campaigns (four indoor scenarios and one outdoor scenario). We observe that the received power, the mean delay, and the rms delay spread are correlated random variables, and therefore, should be simulated jointly. Joint models are able to capture the structure of the underlying process, unlike the independent models considered in the literature. The proposed model of the multivariate log-normal distribution is found to be a good fit for a large number of wideband data sets.

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author
; ; ; ; ; and
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Mean delay, Millimeter-wave, Multivariate log-normal, Root mean square (rms) delay spread, Temporal moments, Wideband radio channels
in
IEEE Transactions on Antennas and Propagation
volume
69
issue
8
article number
9362172
pages
12 pages
publisher
IEEE - Institute of Electrical and Electronics Engineers Inc.
external identifiers
  • scopus:85101754262
ISSN
0018-926X
DOI
10.1109/TAP.2021.3060099
language
English
LU publication?
no
additional info
Funding Information: Manuscript received May 18, 2020; revised September 22, 2020; accepted December 29, 2020. Date of publication February 24, 2021; date of current version August 4, 2021. This work was supported by the Danish Council for Independent Research performed within the framework of the COST Action CA15104 IRACON under Grant DFF 7017-00265. The work of Ramoni Adeogun was supported by Grant DFF 9041-00146B. The work of François-Xavier Briol was supported by the Lloyds Register Foundation Programme on Data-Centric Engineering at The Alan Turing Institute under EPSRC Grant [EP/N510129/1] (Corresponding author: Ayush Bharti.). Publisher Copyright: © This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/
id
4ec4a928-9366-4cc5-ae27-32809d3ca1f5
date added to LUP
2021-11-22 22:39:16
date last changed
2022-04-27 06:00:12
@article{4ec4a928-9366-4cc5-ae27-32809d3ca1f5,
  abstract     = {{<p>We propose a multivariate log-normal distribution to jointly model received power, mean delay, and root mean square (rms) delay spread of wideband radio channels, referred to as the standardized temporal moments. The model is validated using experimental data collected from five different measurement campaigns (four indoor scenarios and one outdoor scenario). We observe that the received power, the mean delay, and the rms delay spread are correlated random variables, and therefore, should be simulated jointly. Joint models are able to capture the structure of the underlying process, unlike the independent models considered in the literature. The proposed model of the multivariate log-normal distribution is found to be a good fit for a large number of wideband data sets.</p>}},
  author       = {{Bharti, Ayush and Adeogun, Ramoni and Cai, Xuesong and Fan, Wei and Briol, François Xavier and Clavier, Laurent and Pedersen, Troels}},
  issn         = {{0018-926X}},
  keywords     = {{Mean delay; Millimeter-wave; Multivariate log-normal; Root mean square (rms) delay spread; Temporal moments; Wideband radio channels}},
  language     = {{eng}},
  number       = {{8}},
  pages        = {{4871--4882}},
  publisher    = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
  series       = {{IEEE Transactions on Antennas and Propagation}},
  title        = {{Joint modeling of received power, mean delay, and delay spread for wideband radio channels}},
  url          = {{http://dx.doi.org/10.1109/TAP.2021.3060099}},
  doi          = {{10.1109/TAP.2021.3060099}},
  volume       = {{69}},
  year         = {{2021}},
}