Joint modeling of received power, mean delay, and delay spread for wideband radio channels
(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
- Bharti, Ayush ; Adeogun, Ramoni ; Cai, Xuesong LU ; Fan, Wei ; Briol, François Xavier ; Clavier, Laurent and Pedersen, Troels
- publishing date
- 2021-08
- 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}}, }