Fading Analysis for the High Speed Railway Viaduct and Terrain Cutting Scenarios

A good understanding of the fading characteristics in high speed railway environment is essential for the design of a high reliable railway wireless network. In this paper, measurements have been taken in both high speed viaduct and terrain cutting scenarios using track side base stations (BSs) of the railway wireless network in China. The measurement sites have been chosen with special care; thus the whole measured route can be characterized either by viaduct or terrain cutting. Kolmogorov-Smirnov (K-S) test has been first introduced in the statistical analysis to find out which is the most appropriate model for the small scale fading envelope. Though both Rice and Nakagami distributions provide a good fit to the first-order envelope data in both scenarios, only the Rice model generally fits the second-order statistics data accurately. For the viaduct scenario, higher Rice K factor can be observed. The change tendency of the K factor as a function of distance in the two scenarios is completely different. It can be concluded that the over bridges which span the railway tracks in terrain cutting scenario would affect the Rice K value severely.

[1]  Ali Abdi,et al.  The Ricean K factor: estimation and performance analysis , 2003, IEEE Trans. Wirel. Commun..

[2]  Bo Ai,et al.  A Novel Path Loss Model for High-Speed Railway Viaduct Scenarios , 2011, 2011 7th International Conference on Wireless Communications, Networking and Mobile Computing.

[3]  Bo Ai,et al.  Propagation measurements and analysis for high-speed railway cutting scenario , 2011 .

[4]  Bo Ai,et al.  Path loss models in viaduct and plain scenarios of the High-speed Railway , 2010, 2010 5th International ICST Conference on Communications and Networking in China.

[5]  Ken-Huang Lin,et al.  Ricean K-factor Estimation in Cellular Communications Using Kolmogorov-Smirnov Statistic , 2006, 2006 Asia-Pacific Conference on Communications.

[6]  Theodore S. Rappaport,et al.  Wireless communications - principles and practice , 1996 .

[7]  Larry J. Greenstein,et al.  Moment-method estimation of the Ricean K-factor , 1999, IEEE Communications Letters.

[8]  Bo Ai,et al.  An Empirical Path Loss Model and Fading Analysis for High-Speed Railway Viaduct Scenarios , 2011, IEEE Antennas and Wireless Propagation Letters.

[9]  Cesar Briso-Rodríguez,et al.  Requirements of GSM technology for the control of high speed trains , 2002, The 13th IEEE International Symposium on Personal, Indoor and Mobile Radio Communications.

[10]  Haoxiang Zhang,et al.  Analysis and emulation of the small-scale fading characteristics in the high-speed rail scenarios , 2011, 2011 6th International ICST Conference on Communications and Networking in China (CHINACOM).

[11]  Jinghui Lu,et al.  Radio Propagation Measurements and Modeling in Railway Viaduct Area , 2010, 2010 6th International Conference on Wireless Communications Networking and Mobile Computing (WiCOM).

[12]  Michel Daoud Yacoub,et al.  Level crossing rate of Nakagami-m fading signal: field trials and validation , 2000 .

[13]  S. Affes,et al.  Radio Wave Characterization and Modeling in Underground Mine Tunnels , 2008, IEEE Transactions on Antennas and Propagation.

[14]  S. Stavrou,et al.  Narrowband fading analysis of indoor distributed antenna systems , 2003, IEEE Antennas and Wireless Propagation Letters.

[15]  H. Suzuki,et al.  A Statistical Model for Urban Radio Propogation , 1977, IEEE Trans. Commun..

[16]  Bin Luo,et al.  Small-Scale Transmission Statistics of UWB Signals for Body Area Communications , 2006, IEEE Vehicular Technology Conference.

[17]  W.C.Y. Lee,et al.  Estimate of local average power of a mobile radio signal , 1985, IEEE Transactions on Vehicular Technology.

[18]  Mary Ann Ingram,et al.  Measurements of small-scale fading and path loss for long range RF tags , 2003 .

[19]  Matthias Pätzold,et al.  Level-Crossing Rate and Average Duration of Fades of the Envelope of Mobile-to-Mobile Fading Channels in Cooperative Networks Under Line-of-Sight Conditions , 2008, IEEE GLOBECOM 2008 - 2008 IEEE Global Telecommunications Conference.

[20]  M. Yacoub,et al.  On higher order statistics of the Nakagami-m distribution , 1999 .

[21]  M. Nakagami The m-Distribution—A General Formula of Intensity Distribution of Rapid Fading , 1960 .

[22]  Bo Ai,et al.  Estimation of the Ricean factor in K the high speed railway scenarios , 2010, 2010 5th International ICST Conference on Communications and Networking in China.

[23]  Ali Abdi,et al.  Performance comparison of three different estimators for the Nakagami m parameter using Monte Carlo simulation , 2000, IEEE Communications Letters.

[24]  Ali Abdi,et al.  Comparison of the level crossing rate and average fade duration of Rayleigh, Rice and Nakagami fading models with mobile channel data , 2000, Vehicular Technology Conference Fall 2000. IEEE VTS Fall VTC2000. 52nd Vehicular Technology Conference (Cat. No.00CH37152).