Propagation characteristics of wideband high-speed railway channel in viaduct scenario at 2.35 GHz

Guo, YunLing; Zhang, Jianhua; Cheng, Tao; Liu, Liu; Lan, Tian

doi:10.1007/bf03325800

Cited by 9 publications

(7 citation statements)

References 14 publications

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“…Figure shows the measured PL result and the PL model in the station scenario and compares the proposed PL model with free space model, WINNER II D2a model [ Kyösti et al ., ], and PL results in open viaduct [ Liu et al ., ], obstructed viaduct [ Guo et al ., ], cutting [ Sun et al ., ], and hilly terrain [ Luan et al ., ] environments. The fitting parameters a and n of the PL model are found to be 19.5 and 3.32, respectively.…”

Section: Large‐scale Characteristicsmentioning

confidence: 99%

“…It can be found that the RMS DS measured in the station scenario is much higher than that with the mean value of −7.4 and the standard deviation of 0.2 in the WINNER D2a model, whereas it is lower than the values in the obstructed viaduct and hilly terrain scenarios reported in Guo et al . [] and Luan et al . [].…”

Section: Small‐scale Characteristicsmentioning

confidence: 99%

“…[], Guo et al . [], and Sun et al . [], and both large‐scale and small‐scale fading were characterized.…”

Section: Introductionmentioning

confidence: 99%

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Channel characterization in high‐speed railway station environments at 1.89 GHz

et al. 2015

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(2015) 'Channel characterization in high-speed railway station environments at 1.89GHz.', Radio science., 50 (11). pp. 1176-1186. Further information on publisher's website: Use policyThe full-text may be used and/or reproduced, and given to third parties in any format or medium, without prior permission or charge, for personal research or study, educational, or not-for-prot purposes provided that:• a full bibliographic reference is made to the original source • a link is made to the metadata record in DRO • the full-text is not changed in any way The full-text must not be sold in any format or medium without the formal permission of the copyright holders.Please consult the full DRO policy for further details.

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Section: Large‐scale Characteristicsmentioning

confidence: 99%

Section: Small‐scale Characteristicsmentioning

confidence: 99%

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Channel characterization in high‐speed railway station environments at 1.89 GHz

et al. 2015

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“…The GEV distribution [29] appeared to be a good fit for both UWB [30] and milimeter wave [31] small-scale variations. On the other hand, the logistic family of distributions [32] has been used successfully in ray-cluster-based modelling at 5 GHz [33] and modelling the probability density function (PDF) of the rms delay spread at 2.35 GHz [34]. We have also included the normal distribution as a reference.…”

Section: Small-scale Variationsmentioning

confidence: 99%

In-vehicle channel sounding in the 5.8-GHz band

Kukolev

Chandra

Mikulasek

et al. 2015

J Wireless Com Network

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The article reports vehicular channel measurements in the frequency band of 5.8 GHz for IEEE 802.11p standard. Experiments for both intra-vehicle and out-of-vehicle environments were carried out. It was observed that the large-scale variations (LSVs) of the power delay profiles (PDPs) can be best described through a two-term exponential decay model, in contrast to the linear models which are suitable for popular ultra-wideband (UWB) systems operating in the 3-to 11-GHz band. The small-scale variations (SSVs) are separated from the PDP by subtracting the LSV and characterized utilizing logistic, generalized extreme value (GEV), and normal distributions. Two sample KolmogorovSmirnov (K-S) tests validated that the logistic distribution is optimal for in-car, whereas the GEV distribution serves better for out-of-car measurements. For each measurement, the LSV trend was used to construct the respective channel impulse response (CIR), i.e., tap gains at different delays. Next, the CIR information is fed to an 802.11p simulation testbed to evaluate the bit error rate (BER) performance, following a Rician model. The BER results strongly vouch for the suitability of the protocol for in-car as well as out-of-car wireless applications in stationary environments.

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“…The HSR propagation environment can be classified into different scenarios, including viaduct, hilly terrain, tunnel, cutting, and station [2,3]. Recently, some measurementbased studies have been carried out in viaduct [4][5][6][7], tunnel [8][9][10][11], and cutting [12,13] scenarios. Field strength results at 320 MHz band for different scenarios can be found in [14].…”

Section: Introductionmentioning

confidence: 99%

Measurement-Based Delay and Doppler Characterizations for High-Speed Railway Hilly Scenario

Zhang

et al. 2014

International Journal of Antennas and Propagation

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This paper presents results for delay and Doppler spread characterization in high-speed railway (HSR) hilly scenario. To investigate the propagation characteristics in this specific terrain, a measurement campaign is conducted along the "Guangzhou-Shenzhen" HSR in China. A wideband channel sounder with 40 MHz bandwidth is used to collect raw data at 2.4 GHz band. The delay spread and Doppler frequency features are analyzed based on measured data. It is found that there are abundant multipath components (MPCs) in this scenario. We present the relationship between the delay spreads and the transceiver distances. The measured route can be divided into four areas with different delay and Doppler characteristics. Finally, a tapped delay line (TDL) model is proposed to parameterize the channel responses in the HSR hilly environment, which is supposed to provide criterions for evaluations of the radio interface and development of wireless communication system.

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Propagation characteristics of wideband high-speed railway channel in viaduct scenario at 2.35 GHz

Cited by 9 publications

References 14 publications

Channel characterization in high‐speed railway station environments at 1.89 GHz

Channel characterization in high‐speed railway station environments at 1.89 GHz

In-vehicle channel sounding in the 5.8-GHz band

Measurement-Based Delay and Doppler Characterizations for High-Speed Railway Hilly Scenario

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