High-speed railway channel measurements and characterizations: a review

Zhou, Tao; Cheng, Tao; Liu, Liu; Qiu, Jian; Sun, Rongchen

doi:10.1007/bf03325799

Cited by 19 publications

(13 citation statements)

References 13 publications

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“…We have described the results from resent wideband channel measurement campaigns which are useful for the emulation and evaluation of wireless communication in typical HSR propagation scenarios. Details of the experimental equipment and methodology, the method to process the data, the method to extract model parameters from the measured data are presented in [12]. The complex envelope of the signal observed at Rx side can be decomposed as numerous accumulation of the exponential function,…”

Section: The Characterization Of Modeling Methodsmentioning

confidence: 99%

Geometrical channel characterization for high speed railway environments using propagation graphs methods

Cheng

Liu

et al. 2014

16th International Conference on Advanced Communication Technology

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In this paper, a new geometry-based channel characterization technique for the high-speed railway scenarios is employed by using the graphic methods. The multi-dimensional channel parameters, such as time delay and Doppler property, can be extracted analytically for the specific environment. By using the graph modeling approach, the channel impulse responses (CIRs) can be calculated by searching for propagation paths, which provide a solid theoretical foundation for high-quality research of ultra-high-speed mobile communications. Then Von Mises distribution is used to model the non-uniform Angle-ofArrival (AoA) at Rx, and the simulation results can be applied to characterize the feasibility of the theoretical channel modeling method. Finally, the established model is compared with the actual measurement data in cutting scenario. The statistical results from the proposed model including the time-varying power delay profile and rapid Doppler transition show a good match with the experimental data, which shows that the study of the proposed modeling method is significant.

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Section: The Characterization Of Modeling Methodsmentioning

confidence: 99%

Geometrical channel characterization for high speed railway environments using propagation graphs methods

Cheng

Liu

et al. 2014

16th International Conference on Advanced Communication Technology

Self Cite

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“…Finally, some recent measurements investigated the delay and Doppler characteristics in HSR environments. As those those do not deal with shadow fading, we do not detail them here, but invite the reader refer to [27], [28], and the references therein.…”

Section: Related Workmentioning

confidence: 99%

Shadow Fading Correlation in High-Speed Railway Environments

Zhang

et al. 2014

IEEE Trans. Veh. Technol.

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In the design of diversity and fast handover schemes for high-speed railways (HSRs), a better understanding of the shadow fading correlation properties is required. In this paper, both auto-and cross-correlation models of shadow fading in HSR environments are proposed based on a large set of measurements with 6146 cells in China. The measurements are conducted using a practically deployed and operative GSM-Railway (GSM-R) system at 930 MHz, to reflect the real conditions of shadow fading in the HSR environments. 7 typical HSR environments and the realistic base station (BS) parameters are considered in the analysis. It is found that the decorrelation distance is correlated with the standard deviation of shadow fading, and is generally larger than 100 m in most of HSR environments. The cross-correlation of shadow fading between two neighboring BSs dependents on the BS height and the tilt angle of the antenna, and a heuristic truncated Gaussian distribution model of cross-correlation is proposed. The model is validated by the measurements conducted in another operative HSR line. The results can be used to exploit the simulation algorithms, to analyze the signal-to-interference-ratio (SIR) properties, and to develop new and better handover schemes for HSRs.

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“…Existing standardized channel models assume that channels are Wide-Sense Stationary Uncorrelated Scattering (WSSUS) [49] which, according to some authors, is not satisfied in the HST environment [50]. Furthermore, HST channel models differ significantly from those available for other mobile cellular systems [51]: 1) Different scenarios and propagation conditions must be considered: communication channel environment is highly variable (e.g.…”

Section: Channel Modeling In Moving Networkmentioning

confidence: 99%

Broadband Access in Complex Environments: LTE on Railway

Briso-Rodríguez

López

Fernandez

et al. 2014

IEICE Trans. Commun.

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SUMMARYThis paper assesses the main challenges associated with the propagation and channel modeling of broadband radio systems in a complex environment of high speed and metropolitan railways. These challenges comprise practical simulation, modeling interferences, radio planning, test trials and performance evaluation in different railway scenarios using Long Term Evolution (LTE) as test case. This approach requires several steps; the first is the use of a radio propagation simulator based on ray-tracing techniques to accurately predict propagation. Besides the radio propagation simulator, a complete test bed has been constructed to assess LTE performance, channel propagation conditions and interference with other systems in real-world environments by means of standard-compliant LTE transmissions. Such measurement results allowed us to evaluate the propagation and performance of broadband signals and to test the suitability of LTE radio technology for complex railway scenarios.

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High-speed railway channel measurements and characterizations: a review

Cited by 19 publications

References 13 publications

Geometrical channel characterization for high speed railway environments using propagation graphs methods

Geometrical channel characterization for high speed railway environments using propagation graphs methods

Shadow Fading Correlation in High-Speed Railway Environments

Broadband Access in Complex Environments: LTE on Railway

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