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RCS-Based 3D Millimeter-Wave Channel Modeling Using Quasi-Deterministic Ray Tracing

Ebrahimizadeh, Javad LU ; Madannejad, Alireza ; Cai, Xuesong LU ; Vinogradov, Evgenii and Vandenbosch, Guy A.E. (2024) In IEEE Transactions on Antennas and Propagation
Abstract

This paper introduces a low-complexity ultra-wideband quasi-deterministic ray tracing (QD-RT) method for statistical analysis of wireless channels. This model uses a statistical distribution to model the bistatic radar-cross-section (RCS) of irregular objects such as cars and pedestrians, instead of a deterministic propagation model, i.e., applying the exact values of bistatic RCSs. It is shown that the quasi-deterministic propagation model benefits from a low complexity compared with a deterministic model while keeping the accuracy. The proposed QD-RT method is applied in a realistic street canyon scenario in the millimeter wave frequency band, and the performance of the QD-RT method is verified by the deterministic propagation method,... (More)

This paper introduces a low-complexity ultra-wideband quasi-deterministic ray tracing (QD-RT) method for statistical analysis of wireless channels. This model uses a statistical distribution to model the bistatic radar-cross-section (RCS) of irregular objects such as cars and pedestrians, instead of a deterministic propagation model, i.e., applying the exact values of bistatic RCSs. It is shown that the quasi-deterministic propagation model benefits from a low complexity compared with a deterministic model while keeping the accuracy. The proposed QD-RT method is applied in a realistic street canyon scenario in the millimeter wave frequency band, and the performance of the QD-RT method is verified by the deterministic propagation method, where the second-order statistics including root-mean-square (RMS) delay spread and angular spread and the first-order statistic transfer function yield good agreements. Finally, the application of the QD-RT in stochastic channel modeling is demonstrated by developing a 3GPP-like statistical channel model for street canyon scenarios.

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author
; ; ; and
organization
publishing date
type
Contribution to journal
publication status
epub
subject
keywords
channel model, mmWave propagation, path loss, power delay profile, probability density function, radar cross section, Ray tracing, RMS delay spread, street canyon, transfer function
in
IEEE Transactions on Antennas and Propagation
publisher
IEEE - Institute of Electrical and Electronics Engineers Inc.
external identifiers
  • scopus:85186083666
ISSN
0018-926X
DOI
10.1109/TAP.2024.3365859
language
English
LU publication?
yes
id
a214752a-1e2f-4fd2-8f46-2e472c76fe40
date added to LUP
2024-03-18 12:28:51
date last changed
2024-03-18 12:29:05
@article{a214752a-1e2f-4fd2-8f46-2e472c76fe40,
  abstract     = {{<p>This paper introduces a low-complexity ultra-wideband quasi-deterministic ray tracing (QD-RT) method for statistical analysis of wireless channels. This model uses a statistical distribution to model the bistatic radar-cross-section (RCS) of irregular objects such as cars and pedestrians, instead of a deterministic propagation model, i.e., applying the exact values of bistatic RCSs. It is shown that the quasi-deterministic propagation model benefits from a low complexity compared with a deterministic model while keeping the accuracy. The proposed QD-RT method is applied in a realistic street canyon scenario in the millimeter wave frequency band, and the performance of the QD-RT method is verified by the deterministic propagation method, where the second-order statistics including root-mean-square (RMS) delay spread and angular spread and the first-order statistic transfer function yield good agreements. Finally, the application of the QD-RT in stochastic channel modeling is demonstrated by developing a 3GPP-like statistical channel model for street canyon scenarios.</p>}},
  author       = {{Ebrahimizadeh, Javad and Madannejad, Alireza and Cai, Xuesong and Vinogradov, Evgenii and Vandenbosch, Guy A.E.}},
  issn         = {{0018-926X}},
  keywords     = {{channel model; mmWave propagation; path loss; power delay profile; probability density function; radar cross section; Ray tracing; RMS delay spread; street canyon; transfer function}},
  language     = {{eng}},
  publisher    = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
  series       = {{IEEE Transactions on Antennas and Propagation}},
  title        = {{RCS-Based 3D Millimeter-Wave Channel Modeling Using Quasi-Deterministic Ray Tracing}},
  url          = {{http://dx.doi.org/10.1109/TAP.2024.3365859}},
  doi          = {{10.1109/TAP.2024.3365859}},
  year         = {{2024}},
}