LTE-M 在地铁隧道中的非稳态 MIMO信道的几何建模

doi:10.12066/j.issn.1007-2861.1858

Abstract

Abstract:

For reliable train-ground communications in urban rail transit, LTE-M (long term evolution-metro) technology based on multiple-input multiple-output (MIMO) channel will be used in the communication based train control (CBTC) system. It is thus necessary to study statistical properties of MIMO channel in a subway tunnel. A geometrically based single bounce (GBSB) time-varying model is proposed to take into account non-stationary characteristics in a 2$\times$2 MIMO channel when train moves, especially passing through a base station in the tunnel. A complex channel gain function is developed from this model. Time-varying statistical properties including autocorrelation function (ACF), power spectral density (PSD) and cross correlation function (CCF) of the channel are studied. Effects of parameters such as train speed and antenna spacing on the channel correlation are analyzed. The results show that the time-varying ACF of the channel decreases with the increasing train speed. The channel cross correlation decreases with a fluctuating period when the antenna spacing increases. Simulation results are consistent with measured results, showing effectiveness of the model.

Key words: LTE-M (long term evolution-metro), multiple-input multiple-output (MIMO) channel, non-stationary, geometrically based single bounce (GBSB) model

CLC Number:

TN929.5

CHEN Xumin, WANG Daqing, PAN Yuntian, ZHENG Guoxin. Geometrical modeling of non-stationary LTE-M MIMO channel in subway tunnel[J]. Journal of Shanghai University（Natural Science Edition）, 2018, 24(6): 888-899.

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Geometrical modeling of non-stationary LTE-M MIMO channel in subway tunnel

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