RCS-Based 3D Millimeter-Wave Channel Modeling Using Quasi-Deterministic Ray Tracing
(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
- Ebrahimizadeh, Javad LU ; Madannejad, Alireza ; Cai, Xuesong LU ; Vinogradov, Evgenii and Vandenbosch, Guy A.E.
- organization
- publishing date
- 2024
- 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}}, }