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

Zhou, Tao; Cheng, Tao; Salous, Sana; Liu, Liu; Zhang, Tan

doi:10.1002/2015rs005793

Cited by 20 publications

(13 citation statements)

References 31 publications

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“…e Ricean K-factor is defined as the ratio of the power of the strongest MPC to the power of the sum of the remaining MPCs in the received signal [40]. Traditionally, the Ricean K-factor is calculated from the narrowband channel sounding results by using a moment-based method [41]. However, the ultra-wideband (UWB) channel sounding results in this measurement have high resolution in the time domain.…”

Section: Rms Ds and Ricean K-factormentioning

confidence: 99%

Vehicular Channel in Urban Environments at 23 GHz for Flexible Access Common Spectrum Application

Wang

Yang

et al. 2019

International Journal of Antennas and Propagation

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With the development of the vehicular network, new radio technologies have been in the spotlight for maximizing the utilization of the limited radio spectrum resource while accommodating the increasing amount of services and applications in the wireless mobile networks. New spectrum policies based on dynamic spectrum access technology such as flexible access common spectrum (FACS) have been adopted by the Korea Communications Commission (KCC). 23 GHz bands have been allocated to FACS bands by the KCC, which is expected extensively for vehicular communications. e comprehensive knowledge on the radio channel is essential to effectively support the design, simulation, and development of such radio technologies. In this paper, the characteristics of 23 GHz vehicle-to-infrastructure (V2I) channels are simulated and extracted for the urban environment in Seoul. e path loss, shadow factor, Ricean K-factor, root-mean-square (RMS) delay spread, and angular spreads are characterized from the calibrated ray-tracing simulation results, and it can help researchers have a better understanding of the propagation channel for designing vehicular radio technologies and a communication system in a similar environment.

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Section: Rms Ds and Ricean K-factormentioning

confidence: 99%

Vehicular Channel in Urban Environments at 23 GHz for Flexible Access Common Spectrum Application

Wang

Yang

et al. 2019

International Journal of Antennas and Propagation

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“…There were also a few results of K-factor, RMS delay spread (DS), and Doppler power spectral density (DPSD) measured in the hilly terrain and tunnel scenarios [20][21][22]. Authors in [23,24] presented detailed analysis of fading severity and time dispersion in open-type and semiclosed station scenarios. For the nonstationary behavior, stationarity interval (SI) in the viaduct scenario was investigated based on GSM-R measurements, which showed that conventional channel models offered SI much larger than the actual measured ones [25].…”

Section: Related Workmentioning

confidence: 99%

“…For the nonstationary behavior, stationarity interval (SI) in the viaduct scenario was investigated based on GSM-R measurements, which showed that conventional channel models offered SI much larger than the actual measured ones [25]. We also tried to adopt a RUN test method to obtain the SI for the open-type station scenario in [24]. Additionally, a four-state Markov chain was used to model the birth-death (B-D) process of MPCs in the viaduct scenario [26].…”

Section: Related Workmentioning

confidence: 99%

“…The LRS method has been used to estimate the time interval of HSR channels in [25]. The RUN test was applied to the RMS DS data to identify the stationary distance in the station scenario [24]. In this paper, we choose the classical LRS approach to characterize the SI in the measured scenarios.…”

Section: Stationarity Interval High Mobility Leads To the Violation mentioning

confidence: 99%

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Analysis of Nonstationary Characteristics for High‐Speed Railway Scenarios

Zhou

Cheng

2018

Wireless Communications and Mobile Computing

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This paper presents the analysis of nonstationary characteristics for high-speed railway (HSR) scenarios, according to passive long-term evolution- (LTE-) based channel measurements. The measurement data collected in three typical scenarios, rural, station, and suburban, are processed to obtain the channel impulse responses (CIRs). Based on the CIRs, the nonstationarity of the HSR channel is studied focusing on the stationarity interval, and a four-state Markov chain model is generated to describe the birth-death process of multipath components. The presented results will be useful in dynamic channel modeling for future HSR mobile communication systems.

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“…The small-scale fading behavior, which is defined as signal variations occurring within very short distances, has been discussed in large numbers of papers for broadband mobile communications. Several wireless channel propagation measurement activities have been performed in different kinds of HSR scenarios, such as the train station [11][12][13], the viaduct [14][15][16][17], the cutting [18,19], the crossing bridge [20], the railway tunnel [21], the subway tunnel [22,23], and the passageway tunnel [24]. The empirical path loss model and small-scale fading parameters have been obtained at 930 MHz.…”

Section: Introductionmentioning

confidence: 99%

Broadband Wireless Channel in Composite High-Speed Railway Scenario: Measurements, Simulation, and Analysis

Ding

Zhang

Yang

et al. 2017

Wireless Communications and Mobile Computing

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The rapid development of high-speed railway (HSR) and train-ground communications with high reliability, safety, and capacity promotes the evolution of railway dedicated mobile communication systems from Global System for Mobile CommunicationsRailway (GSM-R) to Long Term Evolution-Railway (LTE-R). The main challenges for LTE-R network planning are the rapidly timevarying channel and high mobility, because HSR lines consist of a variety of complex terrains, especially the composite scenarios where tunnels, cuttings, and viaducts are connected together within a short distance. Existing researches mainly focus on the path loss and delay spread for the individual HSR scenarios. In this paper, the broadband measurements are performed using a channel sounder at 950 MHz and 2150 MHz in a typical HSR composite scenario. Based on the measurements, the pivotal characteristics are analyzed for path loss exponent, power delay profile, and tap delay line model. Then, the deterministic channel model in which the 3D ray-tracing algorithm is applied in the composite scenario is presented and validated by the measurement data. Based on the ray-tracing simulations, statistical analysis of channel characteristics in delay and Doppler domain is carried out for the HSR composite scenario. The research results can be useful for radio interface design and optimization of LTE-R system.

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

Cited by 20 publications

References 31 publications

Vehicular Channel in Urban Environments at 23 GHz for Flexible Access Common Spectrum Application

Vehicular Channel in Urban Environments at 23 GHz for Flexible Access Common Spectrum Application

Analysis of Nonstationary Characteristics for High‐Speed Railway Scenarios

Broadband Wireless Channel in Composite High-Speed Railway Scenario: Measurements, Simulation, and Analysis

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