摘要
This paper investigates the cross-correlation characteristics of large-scale parameters(LSPs) and small-scale fading(SSF) for high-speed railway(HSR) multilink propagation scenarios, based on realistic measurements conducted on Beijing to Tianjin HSR line in China. A long-term evolution-based channel sounding system is utilized in the measurements to obtain the channel data. By applying a proposed time-delay based dynamic partition method, multi-link channel impulse responses are extracted from the raw channel data. Then, the statistical results of LSPs, including shadow fading, K-factor, and root-mean-square delay spread are derived and the cross-correlation coefficients of these LPSs are calculated. Moreover, the SSF spatial correlation and cross-correlation of SSF are analyzed. These results can be used to exploit multi-link channel model and to optimize the next-generation HSR communication system.
This paper investigates the cross-correlation characteristics of large-scale parameters （LSPs） and small-scale fading （SSF） for high-speed railway （HSR） multilink propagation scenarios, based on realistic measurements conducted on Beijing to Tianjin HSR line in China. A long-term evolution-based channel sounding system is utilized in the measurements to obtain the channel data. By applying a proposed time-delay based dynamic partition method, multi-link channel impulse responses are extracted from the raw channel data. Then, the statistical results of LSPs, including shadow fading, K-factor, and root-mean-square delay spread are derived and the cross-correlation coefficients of these LPSs are calculated. Moreover, the SSF spatial correlation and cross-correlation of SSF are analyzed. These results can be used to exploit multi-link channel model and to optimize the next-generation HSR communication system.
基金
supported by the Beijing Municipal Natural Science Foundation under Grant 4174102
the National Natural Science Foundation of China under Grant 61701017
the Open Research Fund through the National Mobile Communications Research Laboratory, Southeast University, under Grant 2018D11
the Fundamental Research Funds for the Central Universities under Grant 2018JBM003
关键词
隧道模型
空间关联
高速度
连接
特征
铁路
通讯系统
阅读器
high-speed railway communications
multi-link channel
cross-correlation
large-scale parameters
small-scale fading.
