Doppler Simulation and Analysis of SCME Channel Model

Автор: Xiaoyan Huang, Xinhong Wang, Yi Zhou, Ping Wang, Fuqiang Liu

Журнал: International Journal of Wireless and Microwave Technologies(IJWMT) @ijwmt

Статья в выпуске: 5 Vol.2, 2012 года.

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In this contribution, the Doppler spectral properties are simulated and analyzed based on 3GPP Spatial Channel Model extension (SCME). SCME standard channel model is applied to the system evaluation and optimization in LTE and other future communication networks. Since future mobile communication systems demand for high moving speed, the simulation and analysis of Doppler characteristics become so significant. Therefore, we focus on the simulation of Doppler spectral properties in different scenarios of SCME channel model. The simulated Doppler power spectrum and Doppler delay spectrum are applicable to characterize Doppler properties of time-varying channels.

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Time-varying Channel, Doppler Properties, Power Spectrum

Короткий адрес: https://sciup.org/15012825

IDR: 15012825

Список литературы Doppler Simulation and Analysis of SCME Channel Model

  • 3rd Generation Partnership Project; “Tr 25.996 spatial channel model for multiple input multiple output (mimo) simulations, v6.1.0,” Tech. Rep., 2003-09.
  • P. Ky ̈osti, J. Meinila ̈, L. Hentila ̈, X. Zhao, T. Ja ̈msa ̈, C. Schneider,M. Narandzic ́, M. Milojevic ́, A. Hong J. Ylitalo, V.-M. Holappa,M. Alatossava, R. Bultitude, Y. de Jong and T. Rautiainen,“WINNER II Channel Models D1.1.2 V1.1,” no. IST-4-027756WINNER II, D1.1.2 V1.1, 11 2007.
  • D. S. Baum, J. Salo, G. Del Galdo, M. Milojevic, P. Kyösti, and J. Hansen, An Interim Channel Model for Beyond-3G Systems, in Proc. IEEE VTC 2005 Spring, Stockholm, May 2005
  • Jørgen Bach Andersen, Jesper Ødum Nielsen, “Doppler Spectrum from Moving Scatterers in a Random Environment,” IEEE Transactions on Wireless Communications, vol. 8, no. 6, pp. 3270, June 2009.
  • Nathan Blaunstein, Dimitry Katz, and Masashi Hayakawa, “Spectral Properties of Modulated Signal in the DopplerDomain in Urban Radio Channels With Fading,” IEEE Transactions on Antennas and Propagation, vol. 58, no. 8, pp. 2795-2800, August 2010.
  • B. H. Fleury, M. Tschudin, R. Heddergott, D. Dahlhaus, and K. I.Pedersen, “Channel parameter estimation in mobile radio environmentsusing the sage algorithm,” IEEE Journal on Selected Areas in Communications,vol. 17, no. 3, pp. 434-450, Mar. 1999.
  • R. K. T. Paulraj, A.; Roy, “Estimation of signal parameters via rotational invariance techniques/sup 1/- esprit.” Nineteeth Asilomar Conference on Circuits, Systems and Computers, November 1985, pp. 83–89.
  • Carlos A. Guti´errez-D´ıaz-de-Le´on and Matthias P¨atzold, “Efficient Sum-of-Sinusoids-Based Simulation of Mobile Fading Channels with Asymmetrical Doppler Power Spectra,” 4th International Symposium on Wireless Communication Systems, 2007. ISWCS 2007, pp. 246-251, Dec. 2007.
  • Ping Wang, Yi Zhou, Xuefeng Yin, Xiaoyan Huang, and Fuqiang Liu, “Measurement and Analysis of Relay Channels in Indoor Environments,” 6th International Conference on Wireless Communications Networking and Mobile Computing (WiCOM), Sept. 2010.
  • Narandzic, M.; Schneider, C.; Thoma, R ; Jamsa, T.; Kyosti, P.; Xiongwen Zhao, “Comparison of SCM, SCME, and WINNER Channel Models,” IEEE 65th Vehicular Technology Conference, 2007. VTC2007-Spring.pp. 413-417, 2007.
  • W. C. Jakes, Microwave Mobile Communications. New York: IEEE Press, 1974.
  • T. S. Rappaport,Wireless Communications: Piscataway, NJ: IEEE Press,1996.1.
  • T. S. Rappaport, Wireless Communications: Principles & Practice, Upper SaddleRiver, NJ: Prentice Hall PTR, 1996.
  • Parsons. The Mobile Radio Propagation Channel. Pentech Press: London, 1992.
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