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http://dx.doi.org/10.5573/ieie.2017.54.8.34

ADPSS Channel Interpolation and Prediction Scheme in V2I Communication System  

Chu, Myeonghun (School of Electronics & Computer Engineering Chonnam National University)
Moon, Sangmi (School of Electronics & Computer Engineering Chonnam National University)
Kwon, Soonho (School of Electronics & Computer Engineering Chonnam National University)
Lee, Jihye (School of Electronics & Computer Engineering Chonnam National University)
Bae, Sara (School of Electronics & Computer Engineering Chonnam National University)
Kim, Hanjong (School of Electrical, Electronics & Communication Engineering, Korea University of Technology and Education)
Kim, Cheolsung (School of Electronics & Computer Engineering Chonnam National University)
Kim, Daejin (School of Electronics & Computer Engineering Chonnam National University)
Hwang, Intae (School of Electronics & Computer Engineering Chonnam National University)
Publication Information
Journal of the Institute of Electronics and Information Engineers / v.54, no.8, 2017 , pp. 34-41 More about this Journal
Abstract
Vehicle to Infrastructure(V2I) communication means the technology between the vehicle and the roadside unit to provide the Intelligent Transportation Systems(ITS) and Telematic services. The vehicle collects information about the probe data through the evolved Node B(eNodeB) and after that eNodeB provides road conditions or traffic information to the vehicle. To provide these V2I communication services, we need a link adaptation technology that enables reliable and higher transmission rate. The receiver transmits the estimated Channel State Information(CSI) to transmitter, which uses this information to enable the link adaptation. However, due to the rapid channel variation caused by vehicle speed and the processing delay between the layers, the estimated CSI quickly becomes outdated. For this reason, channel interpolation and prediction scheme are needed to achieve link adaptation in V2I communication system. We propose the Advanced Discrete Prolate Spheroidal Sequence(ADPSS) channel interpolation and prediction scheme. The proposed scheme creates an orthonomal basis, and uses a correlation matrix to interpolate and predict channel. Also, smoothing is applied to frequency domain for noise removal. Simulation results show that the proposed scheme outperforms conventional schemes with the high speed and low speed vehicle in the freeway and urban environment.
Keywords
ADPSS; Interpolation; Link adaptation; Prediction; V2I;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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