Time-and Frequency-Varying K-Factor of Non-Stationary Vehicular Channels for Safety-Relevant Scenarios

被引:85
作者
Bernado, Laura [1 ]
Zemen, Thomas [1 ]
Tufvesson, Fredrik [2 ]
Molisch, Andreas F. [3 ]
Mecklenbraeuker, Christoph F. [4 ]
机构
[1] Forschungszentrum Telekommunikat, A-1220 Vienna, Austria
[2] Lund Univ, Dept Elect & Informat Technol, S-22100 Lund, Sweden
[3] Univ So Calif, Dept Elect Engn, Los Angeles, CA 90089 USA
[4] Vienna Univ Technol, Inst Telecommun, A-1040 Vienna, Austria
基金
奥地利科学基金会; 美国国家科学基金会;
关键词
Channel modelling; intelligent transportation systems; non-stationary fading; Rician K-factor; safety-relevant scenarios; vehicle-to-vehicle links; VEHICLE; DELAY;
D O I
10.1109/TITS.2014.2349364
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Vehicular communication channels are characterized by a non-stationary time-and frequency-selective fading process due to fast changes in the environment. We characterize the distribution of the envelope of the first delay bin in vehicle-to- vehicle channels by means of its Rician K-factor. We analyze the time-frequency variability of this channel parameter using vehicular channel measurements at 5.6 GHz with a bandwidth of 240 MHz for safety-relevant scenarios in intelligent transportation systems (ITS). This data enables a frequency-variability analysis from an IEEE 802.11p system point of view, which uses 10 MHz channels. We show that the small-scale fading of the envelope of the first delay bin is Rician distributed with a varying K-factor. The later delay bins are Rayleigh distributed. We demonstrate that the K-factor cannot be assumed to be constant in time and frequency. The causes of these variations are the frequency-varying antenna radiation patterns, as well as the time-varying number of active scatterers, and the effects of vegetation. We also present a simple but accurate bimodal Gaussian mixture model, which allows to capture the K-factor variability in time for safety-relevant ITS scenarios.
引用
收藏
页码:1007 / 1017
页数:11
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