ICI Mitigation by Estimation of Double Carrier Frequency Offsets in High-Speed-Railway Communication Systems for Smart Cities
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OFDM is substantial against Inter-symbol-interference due to long symbol duration. However, inter-carrier interference (ICI) caused by high Doppler frequency shift has a severe impact on OFDM in case of high channel variations. In this paper, we propose an ICI mitigation method by utilizing the estimation and pre-compensation of high Doppler shifts in high-speed railway communication systems for smart cities. The estimate of the Doppler shift is based on a preamble frame of data in communication link between EnodeB and user equipment. The simulation results show that the performance of system has been improved using the proposed model.
KeywordsDoppler effect CFO OFDM HSR ICI Smart cities
This work is supported by the university of transport and communications, Vietnam, under the framework of the research project “Research on signal processing algorithms in high speed rail communications”, code T2017-ĐĐT-51. The authors would like to thank the University for financial support.
- 1.Bhagat, S.S., Shah, P.S., Patel, M.J.: Smart cities in context to Urban development. Int. J. Civ. Struct. Environ. Infrastruct. Eng. Res. Dev. 4(1), 41–48 (2014)Google Scholar
- 3.Al-Dubai, A.Y.: Reliable intelligent transportation systems for smart cities. In: 2nd International Conference and Business Expo on Wireless & Telecommunication, Theme: Connecting People to Connecting Global, 21–22 April. The Oberoi Centre, Dubai, UAE (2016)Google Scholar
- 4.UIC GSM-R Functional Group. GSM-R functional requirement specification (FRS). UIC, Paris, France, UIC EIRENE Technology Report, UIC Code 950, version 7.3.0 (2012)Google Scholar
- 5.Barbu, G.: E-Train - Broadband communication with moving trains-Technology state of the art, Technical Report, June 2010Google Scholar
- 6.Jiang, X., Zou, F., Lin, Z., Wang, T.: A survey on the internet application on passenger trains. J. China Railway Soc. 29, 103–110 (2007)Google Scholar
- 8.Guan, K., Zhong, Z.D., Ai, B.: Assessment of LTE-R using high speed railway channel model. In: Proceedings of International Conference on Communications and Mobile Computing, pp. 461–464 (2011)Google Scholar
- 9.Zhao, Y., Li, J.: Analysis of the impact of Doppler spread on OFDM-based next- generation high-speed rail broadband mobile communications. In: IET International Conference on Communication Technology and Application (ICCTA 2011), pp. 116–120 (2011)Google Scholar
- 12.Roman, T., Koivunen, V.: Subspace method for blind CFO estimation for OFDM systems with constant modulus constellations. In: Proceedings of IEEE VTC, Stockholm, Sweden, pp. 1253–1257 (2005)Google Scholar
- 15.Jiang, Y., Gao, X., You, X., Heng, W.: Training sequence assisted frequency offset estimation for MIMO OFDM. In: Proceedings of IEEE International Conference on Communications, Istanbul, Turkey, pp. 5371–5376 (2006)Google Scholar
- 22.Wu, Y., Bergmans, J.W.M., Attallah, S.: Carrier frequency offset estimation for multiuser MIMO OFDM uplink using CAZAC sequences: performance and sequence optimization. EURASIP J. Wirel. Commun. Netw. 2011 (2011). Article ID: 570680Google Scholar
- 25.3GPP. TR 36.211 v8.6.0 Physical Channel and Modulation for Evolved UTRA (2009)Google Scholar