Advertisement

3D Scattering Channel Modeling for Microcell Communication Environments

  • Hao Jiang
  • Guan Gui
Chapter
Part of the Wireless Networks book series (WN)

Abstract

The development of realistic channel models that can efficiently and accurately describe a wireless propagation channel is a key research area. In this study, a generalized 3D scattering channel model for land mobile systems is proposed to simultaneously describe the angular arrival of multipath signals in the azimuth and elevation planes. The model considers a base station located at the center of a 3D semi-spheroid-shaped scattering region and an MS located within the region. Using this channel model, the authors first derive the closed-form expression for the joint and marginal probability density functions of the angle of arrival and time of arrival measured at the MS corresponding to the azimuth and elevation angles. Next, they derive an expression for the Doppler spectra distribution due to the motion of the MSs. Furthermore, they analyze the performance of MIMO antenna systems and their numerical results. The results show that the proposed 3D scattering channel model performs better compared with previously proposed 2D models for outdoor and indoor environments. They compare the results with previous scattering channel models and measurement results to validate the generalization of their model.

Keywords

Channel models 3D semi-spheroid-shaped scattering region Angle of arrival Time of arrival MIMO antenna systems 

References

  1. 1.
    W. Jakes, Microwave Mobile Communications (IEEE, Piscataway, 1974)Google Scholar
  2. 2.
    J. Karedal, P. Almers, A.J. Johansson, F. Tufvesson, A.F. Molisch, A MIMO channel model for wireless personal area networks. IEEE Trans. Commun. 9(1), 245–255 (2010)Google Scholar
  3. 3.
    K. Deng, Frequency synchronization in MIMO systems, in 2nd International Conference on Consumer Electronics, Communications and Networks (CECNet) (Yichang, 2012), pp. 1832–1835Google Scholar
  4. 4.
    L. Taponecco, Joint TOA and AOA estimation for UWB localization applications. IEEE Trans. Wirel. Commun. 10(7), 2207–2217 (2011)CrossRefGoogle Scholar
  5. 5.
    A. Intarapanich, P.L. Kafle, R.J. Davies, A.B. Sesay, J.G. McRory, Geometrically based broadband MIMO model with tap-gain correlation. IEEE Trans. Veh. Technol. 56(6), pp. 3631–3641 (2007)CrossRefGoogle Scholar
  6. 6.
    C.H. Lim, J.T. Kim, D.S. Han, Channel selective diversity for DTV mobile reception with adaptive beamforming. IEEE Trans. Consum. Electron. 51(2), 357–364 (2005)CrossRefGoogle Scholar
  7. 7.
    A. Kuchar, J.P. Rossi, E. Bonex, Directional macro-cell channel characterization from urban measurements. IEEE Trans. Antennas Propag. 48(2), 137–146 (2000)CrossRefGoogle Scholar
  8. 8.
    A. Hernandez, R. Badorrey, J. Choliz, I. Alastruey, A. Valdovinos, Accurate indoor wireless location with IR UWB systems a performance evaluation of joint receiver structures and TOA based mechanism. IEEE Trans. Consum. Electron. 54(2), 381–389 (2008)CrossRefGoogle Scholar
  9. 9.
    K.T. Wong, X. Yuan, Vector cross product direction finding with an electromagnetic vector sensor of six orthogonally oriented but spatially non-collocation diploes/loops. IEEE Trans. Signal Process. 59(1), 160–171 (2011)MathSciNetCrossRefGoogle Scholar
  10. 10.
    K.B. Baltzis, On the geometric modeling of the uplink channel in a cellular system. J. Eng. Sci. Technol. Rev. 1(1), 75–82 (2008)CrossRefGoogle Scholar
  11. 11.
    P. Petrus, J.H. Reed, T.S. Rappaport, Geometrical-based statistical macrocell channel model for mobile environments. IEEE Trans. Commun. 50(3), 495–502 (2002)CrossRefGoogle Scholar
  12. 12.
    L. Jiang, S.Y. Tan, Geometrically based statistical channel models for outdoor and indoor propagation environments. IEEE Trans. Veh. Technol. 56(6), 3587–3593 (2007)CrossRefGoogle Scholar
  13. 13.
    Y.I. Wu, K.T. Wong, A geometrical model for the TOA distribution of uplink/downlink multipaths assuming scatterers with a conical spatial density. IEEE Antennas Propag. Mag. 50(6), 196–205 (2008)CrossRefGoogle Scholar
  14. 14.
    S.H. Kong, TOA and AOD statistics for down link Gaussian scatterer distribution model. IEEE Trans. Wirel. Commun. 8(5), 2609–2617 (2009)CrossRefGoogle Scholar
  15. 15.
    R. Janaswamy, Angle and time of arrival statistics for the Gaussian scatter density model. IEEE Trans. Wirel. Commun. 1(3), 488–497 (2002)CrossRefGoogle Scholar
  16. 16.
    S.J. Nawaz, M. Riaz, N.M. Khan, S. Wyne, Temporal analysis of a 3D ellipsoid channel model for the vehicle to vehicle communication environments. Wirel. Pers. Commun. 82(3), 1337–1350 (2015)CrossRefGoogle Scholar
  17. 17.
    S.X. Qu, T. Yeap, A three-dimensional scattering model for fading channels in land mobile environment. IEEE Trans. Veh. Technol. 48(3), 765–781 (1999)CrossRefGoogle Scholar
  18. 18.
    K.B. Baltzis, J.N. Sahalos, A simple 3D geometric channel model for macrocell mobile communication. Wirel. Pers. Commun. 51(2), 329–347 (2009)CrossRefGoogle Scholar
  19. 19.
    M. Alsehaili, A. Sebak, S. Noghanian, A 3D geometrically based ellipsoidal wireless channel model, in Proceedings 12th International Symposium on Antenna Technology and Applied Electromagnetics (2006), pp. 407–410Google Scholar
  20. 20.
    A. Mohammad, S. lsehaili, Generalized three dimensional geometrical scattering channel model for indoor and outdoor propagation environments. PHD dissertation, Department of electrical and computer engineering, University of Manitoba, Winnipeg Manitoba, Canada, 2010Google Scholar
  21. 21.
    M. Alsehaili, Angle and time of arrival statistics of a three dimensional geometrical scattering channel model for indoor and outdoor propagation environments. Prog. Electromagn. Res. 109, 191–209 (2010)CrossRefGoogle Scholar
  22. 22.
    R. Janaswamy, Angle of arrival statistics for a 3-D spheroid model. IEEE Trans. Veh. Technol. 51(5), 1242–1247 (2002)CrossRefGoogle Scholar
  23. 23.
    A.Y. Olenko, K.T. Wong, S.A. Qasmi, J. Ahmadi-Shokouh, Analytically derived uplink/downlink TOA and 2-D DOA distributions with scatterers in a 3-D hemispheroid surrounding the mobile. IEEE Trans. Antenna Propag. 54(9), 2446–2454 (2006)CrossRefGoogle Scholar
  24. 24.
    S.J. Nawaz, B.H. Qureshi, N.M. Khan, A generalized 3-D scattering model for a macrocell environment with a directional antenna at the BS. IEEE Trans. Veh. Technol. 59(7), 3193–3204 (2010)CrossRefGoogle Scholar
  25. 25.
    P. Petrus, J.H. Reed, T.S. Rappaport, Geometrical based statistical macrocell channel model for mobile environments. IEEE Trans. Commun. 50(3), 495–502 (2002)CrossRefGoogle Scholar
  26. 26.
    S.X. Qu, An analysis of probability distribution of Doppler shift in three dimensional mobile radio environments. IEEE Trans. Veh. Technol. 58(4), 1634–1639 (2009)CrossRefGoogle Scholar
  27. 27.
    S.J. Nawaz, N.M. Khan, Effect of directional antenna on the Doppler spectrum in 3-D mobile radio propagation environment. IEEE Trans. Veh. Technol. 60(7), 2895–2903 (2011)CrossRefGoogle Scholar
  28. 28.
    S.K. Yong, J.S. Thompson, Three dimensional spatial fading correlation models for compact MIMO receivers. IEEE Trans. Commun. 4(6), 2856–2869 (2005)Google Scholar
  29. 29.
    D. Zhong, Z.M. Li, The study of MIMO channel modeling and simulation based on 3GPP LTE, in IEEE Transactions on Consumer Electronics (ICCE) (Yichang, 2012), pp. 3646–3651Google Scholar
  30. 30.
    DOCOMO 5G White Paper, 5G Radio Access: Requirements, Concept and Technologies. NTT DOCOMO (2014)Google Scholar
  31. 31.
    T. Marzetta, Noncooperative cellular wireless with unlimited numbers of base station antennas. IEEE Trans. Wirel. Commun. 9(11), 3590–3600 (2010)CrossRefGoogle Scholar
  32. 32.
    J.C. Liberti, T.S. Rappaport, A geometrically based model for line-of-sight multi-path radio channels, in Proceedings of IEEE Vehicular Technology Conference (1996), pp. 844–848Google Scholar
  33. 33.
    J. Zhou, H. Jiang, H. Kikuchi, Geometry-based statistical channel model and performance for MIMO antennas. Int. J. Commun. Syst. 29(3), 459–477 (2016)CrossRefGoogle Scholar
  34. 34.
    J. Kim, J. Kim, J. Hwang, D. Shin, J. Ahn, Capacity of frequency selective fading channel in MIMO single frequency network for 3D-HDTV terrestrial broadcasting, in IEEE Transactions on Consumer Electronics (ICCE) (Las Vegas, NV, 2011), pp. 423–424Google Scholar
  35. 35.
    J. Zhou, Z.G. Cao, K. Hisakazu, Asymmetric geometrical-based statistical channel model and its multiple-input and multiple-output capacity. IET Commun. 8(1), 1–10 (2014)CrossRefGoogle Scholar

Copyright information

© The Author(s), under exclusive license to Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Hao Jiang
    • 1
  • Guan Gui
    • 2
  1. 1.College of Electronic and Information EngineeringNanjing University of Information Science and TechnologyNanjingChina
  2. 2.College of Telecommunications and Information EngineeringNanjing University of Posts and TelecommunicationsNanjingChina

Personalised recommendations