Advertisement

A 3D Non-stationaryWideband Channel Model for MIMO V2V Tunnel Communications

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

Abstract

In this chapter, we present a 3-D wideband geometry-based channel model for MIMO V2V communication in tunnel environments. We introduce a two-cylinder model to describe moving vehicles, as well as multiple confocal semi-ellipsoid models to depict internal surfaces of tunnel walls. The received signal is constructed as a sum of direct line-of-sight propagations, rays with single and double interactions. The movement between the mobile transmitter and mobile receiver results in time-varying geometric statistics that make our channel model non-stationary. Using this channel model, the proposed channel characteristics are studied for different V2V scenarios. The numerical results demonstrate that the proposed 3-D non-wide-sense stationary (WSS) wideband channel model is practical for characterizing real V2V channels.

Keywords

3-D wideband geometry-based channel model Two-cylinder model Multiple confocal semi-ellipsoid models Line-of-sight propagations Rays with single and double interactions 

References

  1. 1.
    J.J. Liu et al., Device-to-device communication for mobile multimedia in emerging 5G networks. ACM Trans. Multimed. Comput. Commun. Appl. 12(5), 75:1–75:20 (2016)Google Scholar
  2. 2.
    H. Nishiyama, M. Ito, N. Kato, Relay-by-smartphone: realizing multihop device-to-device communications. IEEE Commun. Mag. 52(4), 56–65 (2014)CrossRefGoogle Scholar
  3. 3.
    M. Liu, J. Yang, G. Gui, DSF-NOMA: UAV-assisted emergency communication technology in a heterogeneous internet of things. IEEE Internet Things J. 6(3), 5508–5519 (2019)CrossRefGoogle Scholar
  4. 4.
    N. Avazov, M. Patzold, A geometric street scattering channel model for car-to-car communication systems, in International Conference on Advanced Technologies for Commun. (ATC 2011), Da Nang, Vietnam (Aug 2011), pp. 224–230Google Scholar
  5. 5.
    F. Tang et al., AC-POCA: anticoordination game based partially overlapping channels assignment in combined UAV and D2D-based networks. IEEE Trans. Veh. Technol. 67(2), 1672–1683 (2018)CrossRefGoogle Scholar
  6. 6.
    C.X. Wang, X. Cheng, D.I. Laurenson, Vehicle-to-vehicle channel modeling and measurements: recent advances and future challenges. IEEE Commun. Mag. 47(11), 96–103 (2009)CrossRefGoogle Scholar
  7. 7.
    A.S. Akki, F. Haber, A statistical model for mobile-to-mobile land communication channel. IEEE Trans. Veh. Technol. 35(1), 2–7 (1986)CrossRefGoogle Scholar
  8. 8.
    H. Jiang, Z. Zhang, J. Dang, L. Wu, Analysis of geometric multi-bounced virtual scattering channel model for dense urban street environments. IEEE Trans. Veh. Technol. 66(3), 1903–1912 (2017)CrossRefGoogle Scholar
  9. 9.
    X. Cheng, C. Wang, D.I. Laurenson, S. Salous, A.V. Vasilakos, An adaptive geometry-based stochastic model for non-isotropic MIMO mobile-to-mobile channels. IEEE Trans. Wireless Commun. 8(9), 4824–4835 (2009)CrossRefGoogle Scholar
  10. 10.
    Y. Yuan, C. Wang, X. Cheng, B. Ai, D.I. Laurenson, Novel 3D geometry-based stochastic models for non-isotropic MIMO vehicle-to-vehicle channels. IEEE Trans. Wireless Commun. 13(1), 298–309 (2014)CrossRefGoogle Scholar
  11. 11.
    H. Jiang, Z. Zhang, J. Dang, L. Wu, A novel 3D massive MIMO channel model for vehicle-to-vehicle communication environments. IEEE Trans. Commun. 66(1), 79–90 (2018)CrossRefGoogle Scholar
  12. 12.
    A.G. Zajic, Impact of moving scatterers on vehicle-to-vehicle narrow-band channel characteristics. IEEE Trans. Veh. Technol. 63(7), 3094–3106 (2014)CrossRefGoogle Scholar
  13. 13.
    M. Riaz, N.M. Khan, S.J. Nawaz, A generalized 3-D scattering channel model for spatiotemporal statistics in mobile-to-mobile communication environment. IEEE Trans. Veh. Technol. 64(10), 4399–4410 (2015)CrossRefGoogle Scholar
  14. 14.
    J. Zhou, H. Jiang, H. Kikuchi, Generalised three-dimensional scattering channel model and its effects on compact multiple-input and multiple-output antenna receiving systems. IET Commun. 9(18), 2177–2187 (2015)CrossRefGoogle Scholar
  15. 15.
    H. Xiao, A.G. Burr, L.T. Song, A time-varying wideband spatial channel model based on the 3GPP model, in IEEE Vehicular Technology Conference, Montreal, QC (Sept. 2006), pp. 1–5Google Scholar
  16. 16.
    I. Sen, D.W. Matolak, Vehicle-vehicle channel models for the 5-GHz band. IEEE Trans. Intell. Transp. Syst. 9(2), 235–245 (2008)CrossRefGoogle Scholar
  17. 17.
    A.G. Zajic, G.L. Stuber, T.G. Pratt, S.T. Nguyen, Wideband MIMO mobile-to-mobile channels: geometry-based statistical modeling with experimental verification. IEEE Trans. Veh. Technol. 58(2), 517–534 (2009)CrossRefGoogle Scholar
  18. 18.
    A. Paier et al., Non-WSSUS vehicular channel characterization in highway and urban scenarios at 5.2GHz using the local scattering function, in International ITG Workshop on Smart Antennas, Vienna, Austria (Feb 2008), pp. 9–15Google Scholar
  19. 19.
    X. Cheng, Q. Yao, M. Wen, C. Wang, L. Song, B. Jiao, Wideband channel modeling and intercarrier interference cancellation for vehicle-to-vehicle communication systems. IEEE J. Sel. Areas Commun. 31(9), 434–448 (2013)CrossRefGoogle Scholar
  20. 20.
    N. Avazov, M. Patzold, A novel wideband MIMO car-to-car channel model based on a geometrical semi-circular tunnel scattering model. IEEE Trans. Veh. Technol. 65(3), 1070–1082 (2016)CrossRefGoogle Scholar
  21. 21.
    N. Avazov, S.M.R. Islam, D. Park, K.S. Kwak, Statistical characterization of a 3-D propagation model for V2V channels in rectangular tunnels. IEEE Antennas Wirel. Propag. Lett. 16, 2392–2395 (2017)CrossRefGoogle Scholar
  22. 22.
    Z. Sun, I.F. Akyildiz, A mode-based approach for channel modeling in underground tunnels under the impact of vehicular traffic flow. IEEE Trans. Wirel. Commun. 10(10), 3222–3231 (2011)CrossRefGoogle Scholar
  23. 23.
    G.S. Ching et al., Wideband polarimetric directional propagation channel analysis inside an arched tunnel. IEEE Trans. Antennas Propag. 57(3), 760–767 (2009)CrossRefGoogle Scholar
  24. 24.
    C. Wang, A. Ghazal, B. Ai, Y. Liu, P. Fan, Channel measurements and models for high-speed train communication systems: a survey. IEEE Commun. Surveys Tuts. 18(2), 974–987 (2016); 2nd Quart.CrossRefGoogle Scholar
  25. 25.
    A. Chelli, M. Patzold, A non-stationary MIMO vehicle-to-vehicle channel model based on the geometrical T-junction model, in International Conference on Wireless Communication and Signal Processing (WCSP), Nanjing, China (Nov 2009), pp. 1–5Google Scholar
  26. 26.
    A. Chelli, M. Patzold, A non-stationary MIMO vehicle-to-vehicle channel model derived from the geometrical street model. IEEE Veh. Technol. Conf. (VTC Fall), San Francisco, CA, USA (Sept 2011), pp. 1–6Google Scholar
  27. 27.
    S. Wu, C. Wang, H. Haas, E.M. Aggoune, M.M. Alwakeel, B. Ai, A non-stationary wideband channel model for massive MIMO communication systems. IEEE Trans. Wirel. Commun. 14(3), 1434–1446 (2015)CrossRefGoogle Scholar
  28. 28.
    A. Ghazal, C.X. Wang, B. Ai, D. Yuan, H. Haas, A non-stationary wideband MIMO channel model for high-mobility intelligent transportation systems. IEEE Trans. Intell. Transp. Syst. 16(2), 885–897 (2015)Google Scholar
  29. 29.
    Y. Yuan, C.X. Wang, Y. He, M.M. Alwakeel, e.H.M. Aggoune, 3D wideband non-stationary geometry-based stochastic models for non-isotropic MIMO vehicle-to-vehicle channels. IEEE Trans. Wirel. Commun. 14(12), 6883–6895 (2015)CrossRefGoogle Scholar
  30. 30.
    M. Walter, D. Shutin, A. Dammann, Algebraic analysis of the poles in the Doppler spectrum for vehicle-to-vehicle channels. IEEE Wirel. Commun. Lett. 99, 1–1 (2017)Google Scholar
  31. 31.
    X. Cai, B. Peng, X. Yin, A.P. Yuste, Hough-transform-based cluster identification and modeling for V2V channels based on measurements. IEEE Trans. Veh. Technol. 99, 1–1 (2017)Google Scholar
  32. 32.
    J. Karedal et al., A geometry-based stochastic MIMO model for vehicle-to-vehicle communications. IEEE Trans. Wirel. Commun. 8(7), 3646–3657 (2009)CrossRefGoogle Scholar
  33. 33.
    M. Patzold, Mobile Radio Channels, 2nd edn. (Wiley, West Sussex, 2012)Google Scholar
  34. 34.
    J. Zhang, C. Pan, F. Pei, G. Liu, X. Cheng, Three-dimensional fading channel models: a survey of elevation angle research. IEEE Commun. Mag. 52(6), 218–226 (2014)CrossRefGoogle Scholar
  35. 35.
    Y. Liu et al., 3D non-stationary wideband circular tunnel channel models for high-speed train wireless communication systems. Sci. China Inf. Sci. 60(8), 082304 (2017)Google Scholar
  36. 36.
    L. Bai, C. Wang, S. Wu, H. Wang, Y. Yang, A 3-D wideband multi-confocal ellipsoid model for wireless MIMO communication channels, in IEEE International Conference on Communications (ICC), Kuala Lumpur, Malaysia (May 2016), pp. 1–6Google Scholar
  37. 37.
    J. Chen, S. Wu, S. Liu, C. Wang, W. Wang, On the 3-D MIMO channel model based on regular-shaped geometry-based stochastic model, in International Symposium Antennas and Propagation (ISAP), Hobart, TAS (Nov. 2015), pp. 1–5Google Scholar
  38. 38.
    H. Huang, Y. Song, J. Yang, G. Gui, F. Adachi, Deep-learning-based millimeter-wave massive MIMO for hybrid precoding. IEEE Trans. Veh. Technol. 68(3), 3027–3032 (2019)CrossRefGoogle Scholar
  39. 39.
    R. Vaughan, J.B. Andersen, Channels, Propagation and Antennas for Mobile Communications (Institution of Electrical Engineers, London, 2003)CrossRefGoogle Scholar
  40. 40.
    A. Abdi, J.A. Barger, M. Kaveh, A parametric model for the distribution of the angle of arrival and the associated correlation function and power spectrum at the mobile station. IEEE Trans. Veh. Technol. 51(3), 425–434 (2002)CrossRefGoogle Scholar
  41. 41.
    J. Bian et al., A WINNER+ based 3-D non-stationary wideband MIMO channel model. IEEE Trans. Wirel. Commun. 17(3), 1755–1767 (2018)CrossRefGoogle Scholar
  42. 42.
    D. Takaishi, Y. Kawamoto, H. Nishiyama, N. Kato, F. Ono, R. Miura, Virtual cell based resource allocation for efficient frequency utilization in unmanned aircraft systems. IEEE Trans. Veh. Technol. 67(4), 3495–3504 (2018)CrossRefGoogle Scholar
  43. 43.
    P. Liu, D.W. Matolak, B. Ai, R. Sun, Path loss modeling for vehicle-to-vehicle communication on a slope. IEEE Trans. Veh. Technol. 63(6), 2954–2958 (2014)CrossRefGoogle Scholar
  44. 44.
    X.F. Yin, X. Cheng, Propagation Channel Characterization, Parameter Estimation, and Modeling for Wireless Communications (Wiley-IEEE Press, Hoboken, Oct 2016)Google Scholar
  45. 45.
    S. Payami, F. Tufvesson, Channel measurements and analysis for very large array systems at 2.6 GHz, in 6th European Conference on Antennas and Propagation (EUCAP), Prague, Czech Republic (Mar 2012), pp. 433–437Google Scholar
  46. 46.
    N. Naz, D.D. Falconer, Temporal variations characterization for fixed wireless at 29.5 GHz, in Proceedings of IEEE Vehicular Technology Conference (VTC), Tokyo, Japan (May 2000), pp. 2178–2182Google Scholar
  47. 47.
    B. Chen, Z. Zhong, B. Ai, Stationarity intervals of time-varying channel in high speed railway scenario. J. China Commun. 9(8), 64–70 (2012)Google Scholar
  48. 48.
    A. Abdi, M. Kaveh, A space-time correlation model for multielement antenna systems in mobile fading channels. IEEE J. Sel. Areas Commun. 20(3), 550–560 (2002)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