Analysis of Nonstationary Characteristics for High‐Speed Railway Scenarios

Zhou, Tao; Cheng, Tao; Li, Kai

doi:10.1155/2018/1729121

Cited by 6 publications

(2 citation statements)

References 27 publications

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“…The very high mobility will induce the violation of wide sense stationary condition in the HSR environments [18]. The nonstationarity of HSR channels is basically due to the dynamic evolution of multipath clusters caused by the motion of the train.…”

Section: Nonstationaritymentioning

confidence: 99%

Channel Modeling for Future High-Speed Railway Communication Systems: A Survey

Zhou

Wang

et al. 2019

IEEE Access

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The widespread popularity of high-speed railways (HSRs) urges a critical demand on highdata-rate railway communication services for both train operation and passenger experience. To satisfy the ever-increasing requirements, future HSR communication systems, such as long-term evolution for railway (LTE-R), fifth generation (5G) on HSR, and 5G for railway (5G-R), and corresponding transmission technologies, e.g., mobile relay, coordinated multipoint, massive multiple-input multiple-output (MIMO), and millimeter-wave (mmWave), have recently attracted much attention. Radio channel modeling is the foundation of design and evaluation of wireless systems and transmission technologies. This paper focuses on a survey of channel modeling for the future HSR communication systems. The significant requirements of future HSR channel models are highlighted, and recent advances in the HSR channel modeling are reviewed. Finally, potential research directions for future HSR channel modeling are outlined.INDEX TERMS 5G, high-speed railway communications, channel modeling, multi-link, massive MIMO, millimeter-wave, nonstationarity, clustering, and deep learning.

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Section: Nonstationaritymentioning

confidence: 99%

Channel Modeling for Future High-Speed Railway Communication Systems: A Survey

Zhou

Wang

et al. 2019

IEEE Access

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“…Apart from special propagation scenarios, a high moving speed over 350 km/h, a higher quality of service (QoS), severe electromagnetic environments and interference are challenges faced by railwaydedicated mobile communication systems [2]. Moreover, the non-stationary characteristics of railway channel, which belong to short-term fading behavior, are closely related to dynamic channel modeling, especially for HSR [3]. All in all, railway radio channel models describe how channel fading behaves in a given scenario, and helps design communication systems and evaluate link-and system-level performance, and the study of channel modeling for railway communication is of great importance.…”

Section: Introductionmentioning

confidence: 99%

Mainline Railway Modeled with 2100 MHz 5G-R Channel Based on Measured Data of Test Line of Loop Railway

Liang,

Li,

et al. 2024

Symmetry

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Railway communication is undergoing a transitional period worldwide, and 5G for railway (5G-R), which has been adopted by the Railway International Union (UIC) in China and in many other countries, which is a common concern all over the world. The 2100 MHz frequency band, which ranks among the top three mainstream frequency bands for public 5G network deployment globally, has recently been issued by MIIT for a 5G-R trial in China, and the frequency is fairly close to 5G-R frequency band of 1900 MHz in Europe. Propagation study for railway communication, especially for mainline, which is the most common and widely used scenario, is of great importance, because it is closely related to passengers’ lives and properties. In this article, based on the 5G-R dedicated network testing environment constructed along the test line of loop railway of National Railway Track Test Center of China, the 2100 MHz 5G-R propagation measurement campaign is conducted, with an in-service SS-RSRP signal-based passive 2100 MHz large-scale channel testing system, as well as a SDR-based 2100 MHz 5G-R channel sounding system, based on which the large-scale as well as small-scale channel characteristics are derived and extensively analyzed. With data derived from the passive testing system, the classical FI, CI as well as TR 38.901 large-scale channel models are properly fitted and compared by calculating RMSE as well as MAE values. Moreover, based on the SDR-based channel sounding system, conclusions on the relationship between the parameters of multi-path component numbers, RMS time spread, received power and distance between the transmitter and the receiver are drawn. The 5G-R system studied in this letter is symmetric FDD communication system, apart from the 2 aspects of channel modeling characteristics, which are large-scale and small-scale complementing each other, the research methodology adopted of the letter also has two aspects, passive measurement, as well as active measurement, and both methods have their own advantages and different focuses, which can also complements each other. Relevant research results of this letter will be helpful for facilitating the R&D, deployment, as well as network optimization of a future mobile communication system under railway mainline scenario.

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