Wireless communication for high-speed railways (HSRs) that provides reliable and high data rate communi- cation between the train and trackside networks is a challenging task. It is estimated that the wireless commu...Wireless communication for high-speed railways (HSRs) that provides reliable and high data rate communi- cation between the train and trackside networks is a challenging task. It is estimated that the wireless communication traffic could be as high as 65 Mbps per high-speed train. The development of such HSR communications systems and standards requires, in turn, accurate models for the HSR propagation channel. This article provides an overview of ex- isting HSR channel measurement campaigns in recent years. Particularly, some important measurement and modeling results in various HSR scenarios, such as viaduct and U-shaped groove (USG), are briefly described and analyzed. In addition, we review a novel channel sounding method, which can highly improve the measurement efficiency in HSR environment.展开更多
Non-stationary properties based on Markov chains are provided to characterize the wireless propagation mechanism of high-speed railway(HSR) under viaduct scenarios.This Markov modeling method reveals the temporal stat...Non-stationary properties based on Markov chains are provided to characterize the wireless propagation mechanism of high-speed railway(HSR) under viaduct scenarios.This Markov modeling method reveals the temporal statistical behaviors of the persistence process corresponding to resolvable multipath components.Using the channel measurement data on Beijing–Tianjin HSR at 2.35 GHz,the steady-state probability matrices and the transition probability matrices of Markov chains are specified.The non-stationary channel parameters are informative for the link-level simulation and can be used for prototype verification for non-stationary HSR channels.In addition,we propose and investigate the concepts of the medium-scale fading entropy and lifetime,which quantitatively describe the degrees of uncertainty and stability,respectively.Furthermore,our provided models are compared with the experimental results by means of the Kullback–Leibler(KL) distance.It shows that the simulated results match the measured data very well.展开更多
基金supported in part by the National Natural Science Foundations(Nos.61032002 and 61102050)the National Science and Technology Major Project(No.2011ZX03001-007-01)+1 种基金the Beijing Natural Science Foundation(No.4122061)the Fundamental Research Funds for the Central Universities(No.2012YJS005)
文摘Wireless communication for high-speed railways (HSRs) that provides reliable and high data rate communi- cation between the train and trackside networks is a challenging task. It is estimated that the wireless communication traffic could be as high as 65 Mbps per high-speed train. The development of such HSR communications systems and standards requires, in turn, accurate models for the HSR propagation channel. This article provides an overview of ex- isting HSR channel measurement campaigns in recent years. Particularly, some important measurement and modeling results in various HSR scenarios, such as viaduct and U-shaped groove (USG), are briefly described and analyzed. In addition, we review a novel channel sounding method, which can highly improve the measurement efficiency in HSR environment.
基金supported in part by the National Natural Foundation of Chinese Project(61032002,61371070)Open Research Fund of National Mobile Communications Research Laboratory,Southeast University(2012D07)
文摘Non-stationary properties based on Markov chains are provided to characterize the wireless propagation mechanism of high-speed railway(HSR) under viaduct scenarios.This Markov modeling method reveals the temporal statistical behaviors of the persistence process corresponding to resolvable multipath components.Using the channel measurement data on Beijing–Tianjin HSR at 2.35 GHz,the steady-state probability matrices and the transition probability matrices of Markov chains are specified.The non-stationary channel parameters are informative for the link-level simulation and can be used for prototype verification for non-stationary HSR channels.In addition,we propose and investigate the concepts of the medium-scale fading entropy and lifetime,which quantitatively describe the degrees of uncertainty and stability,respectively.Furthermore,our provided models are compared with the experimental results by means of the Kullback–Leibler(KL) distance.It shows that the simulated results match the measured data very well.