Channel Analytics for V2X Communication

被引:0
|
作者
Careem, Maqsood Ahamed Abdul [1 ]
Dutta, Aveek [1 ]
机构
[1] SUNY Albany, Dept Elect & Comp Engn, Albany, NY 12222 USA
来源
2018 IEEE 5G WORLD FORUM (5GWF) | 2018年
关键词
D O I
暂无
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Recommending channel characteristics for V2X communication has the distinct advantage of pre-conditioning the waveform at the transmitter to match the expected fading profile. The difficulty lies in extracting an accurate model for the channel, especially if the underlying variables are uncorrelated, unobserved and immeasurable. Our work implements this prescience by assimilating the Channel State Information (CM), obtained as a feedback from vehicles, over time and space to adjust the modulation vectors such that the channel impairments are significantly diminished at the receiver, improving the Bit Error Rate (BER) by 96% for higher order modulations. To account for the multivariate, non-stationary V2X channel, a tensor decomposition and completion approach is used to mitigate the effects of sparsity and noise in the CSI measurements.
引用
收藏
页码:433 / 436
页数:4
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