Skip to main content
SpringerLink
Log in

Doppler Effect Mitigation on V2V Channels with Moving Scatterers Using Dynamic Equalization Based on the Coherence Time

  • Published:
International Journal of Wireless Information Networks Aims and scope Submit manuscript

Abstract

V2V channel models with moving scatterers produce a Doppler effect up to 12 times that of channel modeling that fits the movement of a single vehicle. As a result, the estimation of the channel always needs to be updated quickly, and the duration of the data symbol on frame 802.11p will be limited. Furthermore, there is no data symbol that can be carried in the Coherence Time (CT) range, which causes estimation errors. To overcome this, a method is needed to detect the value of CT from the channel. We improved the CT detection method on the V2V channel from our previous study with a correlation coefficient > 0.5 so that according to the reference theory. Furthermore, the CT detection results are used as the limit of long training symbol (LTS) duration and the symbol data in one frame to be sent. The duration of data symbols and LTS were set to always be within the CT range, and after the CT duration ended, the next LTS was sent to detect the next channel response and the new CT. The CT detection results that we performed resulted in an average difference in CT detection results with the CT theory of 0.0023 ms. The performance of the proposed method was up to 63% that of the spectral temporal average (STA) method and the known coherence time (KCT) method for the scenario where the data symbol length was still in the CT period. This makes the proposed approach very practical for use according to standardization 802.11p in the vehicular ad hoc network (VANET) communications system.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12

Similar content being viewed by others

References

  1. A. Chachich, V. Fessmann, J. Arnold, D. Thompson, W. Fehr, and S. Stasko, DSRC-Unlicensed Device Test plan To characterize the existing radio frequency signal environment, Washington DC, 2015.

  2. J. Fernandez, D. Stancil, and F. Bai, Dynamic Channel Equalization for IEEE 802.11p Waveforms in the Vehicle-To-Vehicle Channel, IEEE 2010 48th Annual Allerton Conference on Communication, Control, and Computing (Allerton), 2010, pp. 542–551. https://doi.org/10.1109/ALLERTON.2010.5706954.

  3. A. Borhani and M. Ptzold, Modeling of vehicle-to-vehicle channels in the presence of moving scatterers, IEEE Vehicular Technology Conference, 2012. https://doi.org/10.1109/VTCFall.2012.6398895.

    Article  Google Scholar 

  4. W. Pamungkas, T. Suryani, I. Wirawan, and A. Affandi, Doppler Effect Mitigation Using Spectral Temporal Average Estimation on V2V Channel with Moving Scatterer, IEEE International Conference on Cybernetics and Computational Intelligence (CyberneticsCom), 2019, pp. 114–119. https://doi.org/10.1109/CYBERNETICSCOM.2019.8875689.

  5. J. A. Fernandez, et al., Performance of the 802.11p Physical Layer in Vehicle-to-Vehicle Environments, IEEE Trans. Veh. Technol., Vol. 61, No. 1, pp. 3–14, 2012. https://doi.org/10.1109/TVT.2011.2164428.

    Article  Google Scholar 

  6. Z. Zhao and C. Wang, Channel Estimation Schemes for IEEE 802.11p Standard, IEEE Intell. Transp. Syst. Mag., Vol. 5, pp. 38–50, 2013. https://doi.org/10.1109/MITS.2013.2270032.

    Article  Google Scholar 

  7. H. Jiang, S. Cai, W. Xiang, and H. Qian, Dynamic Channel Estimation for Vehicle Wireless Communications, Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, 2013, vol. 121 LNICST, pp. 14–24. https://doi.org/10.1007/978-3-642-41773-3_2

  8. W. Pamungkas, T. Suryani and A. Affandi. Wirawan, Coherence time and doppler spectrum of V2V channel with moving scatterer based on autocorrelation function, J. Commun., Vol. 14, pp. 859–865, 2019.

    Article  Google Scholar 

  9. A. J. Goldsmith, Wireless Communications, no. 143, Cambridge University Press, Cambridge, 2005.

    Book  Google Scholar 

  10. E. A. Feukeu, K. Djouani and A. Kurien, Doppler Shift Mitigation in a VANET using an IDDM approach, J. Ambient Intell. Humaniz. Comput., Vol. 7, No. 3, pp. 321–332, 2016. https://doi.org/10.1007/s12652-016-0365-4.

    Article  Google Scholar 

  11. H. Zhao, S. Lu, R. Zou, K. Ju and K. H. Chon, Estimation of time-varying coherence function using time-varying transfer functions, Ann. Biomed. Eng., Vol. 33, No. 11, pp. 1582–1594, 2005. https://doi.org/10.1007/s10439-005-7045-4.

    Article  Google Scholar 

  12. J. Dulmage, M. P. Fitz, and D. Čabrić, A modulation dependent channel coherence metric for VANET simulation using IEEE 802.11p, IEEE Veh. Technol. Conf., 2010. https://doi.org/10.1109/VETECS.2010.5494109.

  13. X. Yin, J. Zhou, B. J. Kwak, and H. K. Chung, Estimation of channel temporal auto-correlation and coherence time based on propagation paths, 2010 5th International ICST Conference on Communications and Networking in China, ChinaCom 2010, 2010, pp. 1–5. https://doi.org/10.4108/chinacom.2010.11.

  14. M. S. Kim, T. S. Lee, T. H. Im, and H. L. Ko, The analysis of coherence bandwidth and coherence time for underwater channel environments using experimental data in the West sea, Korea, Ocean. 2016—Shanghai, pp. 2–5, 2016. https://doi.org/10.1109/OCEANSAP.2016.7485600.

  15. L. Cheng, B. Henty, F. Bai, and D. D. Stancil, Doppler spread and coherence time of rural and highway vehicle-to-vehicle channels at 5.9 GHz, GLOBECOM—IEEE Glob. Telecommun. Conf., no. May 2014, pp. 4180–4185, 2008. https://doi.org/10.1109/GLOCOM.2008.ECP.802.

  16. U. Schilcher, J. F. Schmidt, M. K. Atiq, C. Bettstetter and I. T. Jun, Auto-Correlation and Coherence Time of Interference in Poisson Networks, IEEE Trans. Mob. Comput., Vol. 19, No. 7, pp. 1506–1518, 2020. https://doi.org/10.1109/TMC.2019.2912373.

    Article  Google Scholar 

  17. W. Pamungkas, T. Suryani, W. Wirawan and A. Affandi, Power spectral density of V2V communication system in the presence of moving scatterers, Int. J. Intell. Eng. Syst., Vol. 12, No. 6, pp. 207–214, 2019. https://doi.org/10.22266/ijies2019.1231.20.

    Article  Google Scholar 

  18. A. Borhani and M. Patzold, Correlation and spectral properties of vehicle-to-vehicle channels in the presence of moving scatterers, IEEE Trans. Veh. Technol., Vol. 62, No. 9, pp. 4228–4239, 2013. https://doi.org/10.1109/TVT.2013.2280674.

    Article  Google Scholar 

  19. G. E.P Box, G. M. Jenkins, G. C. Reinsel, G. M. Ljung, (2016) Time Series Analysis Forecasting and Control. Wiley, New Jersey

Download references

Acknowledgements

The works presented in this paper are sponsored by the Ministry of Finance of the Republic of Indonesia through the LPDP Scholarship.

Author information

Authors and Affiliations

  1. Department of Electrical Engineering, Faculty of Intelligent Electrical and Informatics Technology, Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia

    Wahyu Pamungkas, Titiek Suryani,  Wirawan & Achmad Affandi

  2. Fakultas Teknik Telekomunikasi Dan Elektro, Institut Teknologi Telkom, Purwokerto, Indonesia

    Wahyu Pamungkas

Authors
  1. Wahyu Pamungkas
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Titiek Suryani
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Wirawan
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Achmad Affandi
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Wahyu Pamungkas.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Pamungkas, W., Suryani, T., Wirawan et al. Doppler Effect Mitigation on V2V Channels with Moving Scatterers Using Dynamic Equalization Based on the Coherence Time. Int J Wireless Inf Networks 28, 332–343 (2021). https://doi.org/10.1007/s10776-021-00513-y

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10776-021-00513-y

Keywords

Search

Navigation