Empirical millimeter‐wave wideband propagation characteristics of high‐speed train environments

Park, Jae-Joon; Lee, Juyul; Kim, Kyung Won; Kwon, Hyoungmoon; Kim, Myung-Don

doi:10.4218/etrij.2020-0239

Cited by 9 publications

(3 citation statements)

References 19 publications

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“…High-speed train (HST) channels are distinguished by their non-stationary characteristics due to the high speed of the trains [17,18]. Considering the excessive speed of trains such as 500 km/h, the channel modelling of future HST needs to tackle the advanced level challenges, i.e.…”

Section: R E T R a C T E Dmentioning

confidence: 99%

Retracted: Non‐stationary 3‐D GBSM channel model for V2V communications

Saleem

Asif

et al. 2022

IET Communications

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The above article from IET Communications, published online on 17 October 2022 in Wiley Online Library (wileyonlinelibrary.com), has been retracted by agreement between the Interim Editor‐in‐Chief, Jian Ren, the Institution of Engineering and Technology (the IET) and John Wiley and Sons Ltd. This article was published as part of a Guest Edited special issue. Following an investigation, the IET and the journal have determined that the article was not reviewed in line with the journal's peer review standards and there is evidence that the peer review process of the special issue underwent systematic manipulation. Accordingly, we cannot vouch for the integrity or reliability of the content. As such we have taken the decision to retract the article. The authors have been informed of the decision to retract.

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Section: R E T R a C T E Dmentioning

confidence: 99%

Retracted: Non‐stationary 3‐D GBSM channel model for V2V communications

Saleem

Asif

et al. 2022

IET Communications

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“…In [91] and [92], it was that from a viaduct to a tunnel, the path loss exponent varies in different sections, which can be defined along the distance in the CI and AB models.…”

Section: C: Large-scale Modelsmentioning

confidence: 99%

Wave Propagation Modeling Techniques in Tunnel Environments: A Survey

et al. 2023

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The prediction of radio signal transmission in tunnels is important for wireless communication link design as it enables the delivery of optimum power to the intended receiver inside the tunnel. Several techniques have been proposed to estimate path loss for wireless communication inside tunnels. The radio coverage range and where base stations need to be installed can be figured out with the help of propagation models. At the time of developing these models, modeling complexity and environmental attributes, such as the tunnel geometry and the electrical and magnetic properties of its walls and interior materials are considered. A limited amount of literature currently overviews how waves transmits through tunnels and how electromagnetic wave transmission has recently changed. This survey, which examines current advancements in the propagation of waves in tunnels, aims to address this gap. In this review, thirty wave propagation models were analyzed and grouped into distinct categories for the first time. The detailed specifications of each model were omitted to make the survey easy to comprehend. This comparative research will help service providers adopt an appropriate propagation model and plan efficient transmitter and receiver placement and link management for a specific tunnel environment.INDEX TERMS Artificial neural network, radio wave propagation, ray tracing, scaling, tunnel.

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“…We built not only mmWave channel sounders operating at 28, 38, 71, and 82 GHz [44][45][46], but also a sub-THz channel sounder operating at 159 GHz [42,47]. All the channel sounders were developed to use time-domain correlation techniques by transmitting periodic pseudo-random binary sequences.…”

Section: Measurement Equipmentmentioning

confidence: 99%

Measurement‐based omnidirectional millimetre‐wave and sub‐THz propagation analysis in a large cubicle office environment

Lee

Park

Kim

et al. 2023

IET Microwaves Antenna & Prop

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For 5G beyond and/or 6G mobile services, a new spectrum at frequencies above 100 GHz has received great attention lately. To characterise the similarities and the differences between frequencies below 100 GHz and above 100 GHz, this paper provides analyses of multi‐frequency propagation characteristics based on wideband measurements at 28, 38, 71, 82, and 159 GHz, with an emphasis on the sub‐THz (i.e. the 159 GHz) propagation characteristics. All the frequency measurements were conducted in the same cubicle office room environment by locating the transmitter and the receiver at the same positions. The measurement results show that the path loss and the shadow fading characteristics do not exhibit significant differences depending on the frequency range from 28 to 159 GHz. However, the delay spread shows a generally decreasing trend as the frequency increases. Additionally, angular domain analyses were conducted with the 159 GHz measurements.

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Empirical millimeter‐wave wideband propagation characteristics of high‐speed train environments

Cited by 9 publications

References 19 publications

Retracted: Non‐stationary 3‐D GBSM channel model for V2V communications

Retracted: Non‐stationary 3‐D GBSM channel model for V2V communications

Wave Propagation Modeling Techniques in Tunnel Environments: A Survey

Measurement‐based omnidirectional millimetre‐wave and sub‐THz propagation analysis in a large cubicle office environment

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