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

Zhou, Tao; Li, Huayu; Wang, Yang; Liu, Liu; Cheng, Tao

doi:10.1109/access.2019.2912408

Cited by 41 publications

(22 citation statements)

References 48 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…To satisfy the increasingly higher data rate for TGC systems, fifth-generation (5G) technologies such as massive multiple-input multiple-output (MIMO) and millimeter-wave (mmWave) will be used in the TGC systems [3]. The prerequisite of designing wireless systems and evaluating transmission technologies is the understanding of propagation characteristics in operating scenarios [4], [5]. Large-scale propagation models are vital to the network deployment, which can be used to achieve the link budget and interference analysis.…”

Section: Introductionmentioning

confidence: 99%

Simulation and Analysis of Propagation Characteristics for Tunnel Train-Ground Communications at 1.4 and 40 GHz

Zhou

Sun

et al. 2019

IEEE Access

Self Cite

View full text Add to dashboard Cite

This paper focuses on the analysis of propagation characteristics for train-ground communication (TGC) systems in tunnel scenarios at both low frequency and millimeter-wave (mmWave) bands, based on ray-tracing (RT) simulation. The material parameters in the RT simulation are calibrated by measurement data collected in realistic tunnel environments. A practical three dimension (3D) tunnel TGC environment considering the existence of train cars is established, which is further divided into three kinds of scenarios, involving the direct coverage, relay coverage, and in-train coverage scenarios. Both large-scale and small-scale propagation characteristics, such as path loss and root mean square delay spread, are analyzed for the three tunnel TGC scenarios. The obtained results can provide useful information for the design of future fifth-generation (5G) tunnel TGC systems.INDEX TERMS 5G, train-ground communications, channel modeling, propagation characteristics, millimeter-wave, and tunnel.

show abstract

Section: Introductionmentioning

confidence: 99%

Simulation and Analysis of Propagation Characteristics for Tunnel Train-Ground Communications at 1.4 and 40 GHz

Zhou

Sun

et al. 2019

IEEE Access

Self Cite

View full text Add to dashboard Cite

show abstract

“…The distinctive scenario of enclosed metal tube and ultra-high terminals' speed impose numerous challenges on the modeling, design, analysis, and evaluations of the train-to-ground wireless communication systems of vactrain [20]. In the meantime, high mobility and the fully enclosed vacuum tube wall also provide unique opportunities that can be exploited to facilitate system designs and to improve system performance.…”

Section: Key Challenges Of Vactrain's Wireless Communicationsmentioning

confidence: 99%

Broadband Wireless Communication Systems for Vacuum Tube High-Speed Flying Train

et al. 2020

Self Cite

View full text Add to dashboard Cite

A vactrain (or vacuum tube high-speed flying train) is considered as a novel proposed rail transportation approach in the ultra-high-speed scenario. The maglev train can run with low mechanical friction, low air resistance, and low noise mode at a speed exceeding 1000 km/h inside the vacuum tube regardless of weather conditions. Currently, there is no research on train-to-ground wireless communication system for vactrain. In this paper, we first summarize a list of the unique challenges and opportunities associated with the wireless communication for vactrain, then analyze the bandwidth and Quality of Service (QoS) requirements of vactrain’s train-to-ground communication services quantitatively. To address these challenges and utilize the unique opportunities, a leaky waveguide solution with simple architecture but excellent performance is proposed for wireless coverage for vactrains. The simulation of the leaky waveguide is conducted, and the results show the uniform phase distribution along the horizontal direction of the tube, but also the smooth field distribution at the point far away from the leaky waveguide, which can suppress Doppler frequency shift, indicating that the time-varying frequency-selective fading channel could be approximated as a stationary channel. Furthermore, the train-to-ground wireless access architectures based on leaky waveguide are studied and analyzed. Finally, the moving scheme is adopted based on centralized, cooperative, cloud Radio Access Network (C-RAN), so as to deal with the extremely frequent handoff issue.

show abstract

“…. , η L ] and η l is same as that in (9). Beginning with (9) and using w l = α l • e jϕ l , we have the derivation of I (α) and I (ϕ) in (18) and (19)…”

Section: Appendix B Derivation Of Rmentioning

confidence: 99%

Cluster-Based Fast Time-Varying MIMO Channel Fading Prediction in the High-Speed Scenario

Zhang

2019

IEEE Access

View full text Add to dashboard Cite

Accurate channel state information (CSI) is important for the coherent detection of multipleinput-multiple-output (MIMO) system. Especially in a high-speed scenario, fast time-varying CSI gotten by the conventional channel estimation schemes tend to be out of date, thus tracking and predicting CSI are more attractive and indispensable. Motivated by those, a time-varying MIMO channel fading prediction framework is proposed in this paper. The principle behind our scheme is that the cluster-based fading channel has the spatial consistency property, which means the small-scale parameters of channel clusters evolve continuously and smoothly in the time and spatial domains. Thus CSI can be tracked and predicted within several or tens of wavelengths. The proposed scheme is composed of an extended Bayesian Estimation Kalman Filter to track the time-varying CSI evolution, and a Cluster Drifting Based Prediction to obtain the small-scale parameters of channel clusters. The performance of the proposed scheme is simulatively verified by a standard clustered-based channel model. INDEX TERMS MIMO channel fading prediction, high-speed scenario, spatial consistency, cluster drifting.

show abstract

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

Cited by 41 publications

References 48 publications

Simulation and Analysis of Propagation Characteristics for Tunnel Train-Ground Communications at 1.4 and 40 GHz

Simulation and Analysis of Propagation Characteristics for Tunnel Train-Ground Communications at 1.4 and 40 GHz

Broadband Wireless Communication Systems for Vacuum Tube High-Speed Flying Train

Cluster-Based Fast Time-Varying MIMO Channel Fading Prediction in the High-Speed Scenario

Contact Info

Product

Resources

About