Wideband radio channel measurements for train tunnels

Aikio, P.; Gruber, R. P.; Vainikainen, P.

doi:10.1109/vetec.1998.686616

Cited by 28 publications

(16 citation statements)

References 2 publications

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“…For example, the magnitude of channel observed in line-of-sight (LoS) HST channels followed Rician distributions [21], [22]. The shadowing, K-factor, and composite channel parameters measured in tunnel environments were fitted well by the dual-exponential attenuation models [23]- [25], and their time-variant characteristics can be described by using Markov-chains [26]. The impacts of viaducts and cuttings on path loss and multipath fading have also been studied [27].…”

mentioning

confidence: 99%

Empirical Geometry-Based Random-Cluster Model for High-Speed-Train Channels in UMTS Networks

Yin

Cai

Cheng

et al. 2015

IEEE Trans. Intell. Transport. Syst.

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In this paper, a recently conducted measurement campaign for high-speed-train (HST) channels is introduced, where the downlink signals of an in-service Universal Mobile Terrestrial System (UMTS) deployed along an HST railway between Beijing and Shanghai were acquired. The channel impulse responses (CIRs) are extracted from the data received in the common pilot channels (CPICHs). Within 1318 km, 144 base stations (BSs) were detected. Multipath components (MPCs) estimated from the CIRs are clustered and associated across the time slots. The results show that, limited by the sounding bandwidth of 3.84 MHz, most of the channels contain a single line-of-sight (LoS) cluster, and the rest consists of several LoS clusters due to distributed antennas, leaking cable, or neighboring BSs sharing the same CPICH. A new geometry-based random-cluster model is established for the clusters' behavior in delay and Doppler domains. Different from conventional models, the time-evolving behaviors of clusters are characterized by random geometrical parameters, i.e., the relative position of BS to railway, and the train speed. The distributions of these parameters, and the per-cluster path loss, shadowing, delay, and Doppler spreads, are extracted from the measurement data. Index Terms-Geometry-based stochastic model, high speed train, random cluster model, time-variant channel, Universal Mobile Terrestrial System.

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confidence: 99%

Empirical Geometry-Based Random-Cluster Model for High-Speed-Train Channels in UMTS Networks

Yin

Cai

Cheng

et al. 2015

IEEE Trans. Intell. Transport. Syst.

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“…5) The tunnel scenario represents an environment where HST passes through tunnels [78], [79] with different lengths ranging from hundreds of meters to several kilometers. The length, size, and shape of the tunnels and the encountered waveguide phenomena have significant impact on the communication channel.…”

Section: Hst Channel Measurementsmentioning

confidence: 99%

“…Correspondingly, all of the aforementioned measurements were for narrowband channels with bandwidth of 200 kHz. Wideband channel measurements with higher bandwidths, i.e., 10-100 MHz, and higher carrier frequencies, i.e., 2.1-5.2 GHz, were reported in [42], [44]- [47], [62], [63], [73]- [75], [78], [89]- [91].…”

Section: Measurement's Setup Parametersmentioning

confidence: 99%

“…Antenna Configuration: The majority of HST measurements campaigns so far have focused on single-input single-output (SISO) systems [42], [44], [45], [48], [51]- [59], [61]- [65], [69]- [75], [78], [79], [85], [86], [89], [90]. Multiple-input multiple-output (MIMO) systems, where multiple antennas are equipped at both ends, are essential for providing higher capacity to meet the requirements of future high speed data transmissions [43].…”

Section: Measurement's Setup Parametersmentioning

confidence: 99%

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Channel Measurements and Models for High-Speed Train Communication Systems: A Survey

Wang

Ghazal

et al. 2016

IEEE Commun. Surv. Tutorials

204

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“…To guarantee reliable communication in a HST network, knowledge about the high speed railway environment is required. The propagation characteristics of the railway environment have been observed in a number of studies through channel measurements and analyses at microwave frequency bands [28][29][30][31][32][33][34]. For most of the railway propagating environment, strong LOS component is present and there are few multipaths because of little scatterers and reflections closely similar to the rural macrocell (RMa) propagation scenario described in [35].…”

Section: Introductionmentioning

confidence: 99%

Feasibility Studies on the Use of Higher Frequency Bands and Beamforming Selection Scheme for High Speed Train Communication

Laiyemo

Luoto

Pirinen

2017

Wireless Communications and Mobile Computing

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With increasing popularity of high speed trains and traffic forecast for future cellular networks, the need to provide improved data rates using higher frequency bands (HFBs) for train passengers is becoming crucial. In this paper, we modify the OFDM frame structure for HST, taking into account the increasing sensitivity to speed at HFBs. A lower bound on the SNR/SINR for a given rate for reliable communication was derived considering the physical layer parameters from the OFDM frame. We also analyze different pathloss models in the context of examining the required gain needed to achieve the same performance as with microwave bands. Finally, we present a time-based analogue beamforming selection approach for HST. We observed that, irrespective of the pathloss models used, the required gains are within the same range. For the same SNR/SINR at different frequency bands, the achievable data rate varies with respect to the frequency bands. Our results show the potential of the use of HFBs. However, due to the increased sensitivity of some channel parameters, a maximum frequency band of 38 GHz is suggested. Evaluation of our proposed beamforming scheme indicates a close performance to the optimal SVD scheme with a marginal rate gap of less than 2 b/s/Hz.

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Wideband radio channel measurements for train tunnels

Cited by 28 publications

References 2 publications

Empirical Geometry-Based Random-Cluster Model for High-Speed-Train Channels in UMTS Networks

Empirical Geometry-Based Random-Cluster Model for High-Speed-Train Channels in UMTS Networks

Channel Measurements and Models for High-Speed Train Communication Systems: A Survey

Feasibility Studies on the Use of Higher Frequency Bands and Beamforming Selection Scheme for High Speed Train Communication

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