A Study on ICI Cancellation Technique for OFDM-Based High Speed Railway Communication System 


Vol. 42,  No. 7, pp. 1455-1462, Jul.  2017
10.7840/kics.2017.42.7.1455


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  Abstract

High-Speed Railway(HSR) communication system implemented in LTE-R platform based on OFDM is becoming a key feature to replace the current GSM-R technology supported for Intelligent Transportation Systems(ITS) for the last two decades. In order to support high data-rate OFDM transmission for highly mobile users(more than 300km/h), reliable data detection is required at the receiver. Wireless channel for HSR communication has fast time varying properties. To overcome the channel properties, accurate channel estimation and Inter-carrier Interference(ICI) is demanded. In this paper, a novel OFDM symbol structure with pilot interval and channel estimation algorithm based on cubic interpolation is proposed. And then, through computer simulation, it is proved that symbol error rate(SER) of communication system using ICI cancellation technique with the proposed algorithm outperforms those of the conventional ICI cancellation techniques.

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  Cite this article

[IEEE Style]

H. Choi, H. Cho, S. Ro, S. Park, "A Study on ICI Cancellation Technique for OFDM-Based High Speed Railway Communication System," The Journal of Korean Institute of Communications and Information Sciences, vol. 42, no. 7, pp. 1455-1462, 2017. DOI: 10.7840/kics.2017.42.7.1455.

[ACM Style]

Hyun-Kyun Choi, Hanbyeog Cho, Soonghwan Ro, and SeongGyoon Park. 2017. A Study on ICI Cancellation Technique for OFDM-Based High Speed Railway Communication System. The Journal of Korean Institute of Communications and Information Sciences, 42, 7, (2017), 1455-1462. DOI: 10.7840/kics.2017.42.7.1455.

[KICS Style]

Hyun-Kyun Choi, Hanbyeog Cho, Soonghwan Ro, SeongGyoon Park, "A Study on ICI Cancellation Technique for OFDM-Based High Speed Railway Communication System," The Journal of Korean Institute of Communications and Information Sciences, vol. 42, no. 7, pp. 1455-1462, 7. 2017. (https://doi.org/10.7840/kics.2017.42.7.1455)

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pISSN : 1226 - 4717
eISSN : 2287 - 3880