Paper Info
Title
3d Non-Stationary Gbsms For High-Speed Train Tunnel Channels
Abstract
This paper proposes 3D non-stationary multipleinput multiple-output (MIMO) geometry-based stochastic models (GBSMs) for high-speed train (HST) tunnel channels. Considering the line-of-sight (LoS), single-bounced (SB), and double-bounced (DB) components from the geometrical tunnel scattering model, a reference HST tunnel channel model under the assumption that scatterers are uniformly distributed on the tunnel walls is first derived. Then, by using the modified method of equal areas (MMEA), the corresponding simulation model is developed. Based on the proposed tunnel channel models, the correlation properties in time and space domains are investigated. A good agreement of statistical properties between the reference model and simulation model can be obtained. Furthermore, the simulation results show that the proposed model can be applied to mimic the non-stationarity of HST tunnel channels.
Year
Venue
Keywords
2018
2018 IEEE 87TH VEHICULAR TECHNOLOGY CONFERENCE (VTC SPRING)
High-speed train, tunnel scenario, channel model, statistical properties
Field
DocType
Citations 
Topology,Channel models,Reference model,Computer science,Spacetime,Communication channel,MIMO,Electronic engineering,Scattering,Stochastic modelling,High speed train
Conference
0
PageRank 
References 
Authors
0.34
0
6
Name
Order
Citations
PageRank
Yu Liu101.69
Feng Liu24610.34
Jian Sun36511.03
Wensheng Zhang410714.25
C. X. Wang53694246.36
Pingzhi Fan63233265.09