SCIENCE CHINA Information Sciences, Volume 63 , Issue 6 : 169304(2020) https://doi.org/10.1007/s11432-018-9776-8

Transmission success probability analysis of vehicle users with mobile relays under mobility models

More info
  • ReceivedOct 28, 2018
  • AcceptedJan 23, 2019
  • PublishedMar 12, 2020


There is no abstract available for this article.


This work was supported by National Natural Science Foundation of China (Grant No. 21808020) and Applied Basic Research Program of Science Technology Department of Sichuan Province (Grant No. 2018JY0151).


Appendixes A–F.


[1] 3GPP. Mobile relay for E-UTRA. Technical report, TR 36.836. 2012. Google Scholar

[2] Sui Y T, Papadogiannis A, Yang W, et al. Performance comparison of fixed and moving relays under co-channel interference. In: Proceedings of IEEE Globecom Workshops, California, 2012. 574--579. Google Scholar

[3] Sui Y T, Vihriala J, Papadogiannis A. Moving cells: a promising solution to boost performance for vehicular users. IEEE Commun Mag, 2013, 51: 62-68 CrossRef Google Scholar

[4] Tanbourgi R, Dhillon H S, Andrews J G. Dual-Branch MRC Receivers Under Spatial Interference Correlation and Nakagami Fading. IEEE Trans Commun, 2014, 62: 1830-1844 CrossRef Google Scholar

[5] Mogensen P, Na W, Kovacs I Z, et al. LTE capacity compared to the shannon bound. In: Proceedings of IEEE 65th Vehicular Technology Conference, Dublin, 2007. 1234--1238. Google Scholar

[6] Bandyopadhyay S, Coyle E J, Falck T. Stochastic Properties of Mobility Models in Mobile Ad Hoc Networks. IEEE Trans Mobile Comput, 2007, 6: 1218-1229 CrossRef Google Scholar

  • Figure 1

    Transmission success probability vs. distance $d$ between eNodeB and the public vehicle, with $m_{\textrm{B}}=m_{\textrm{R}}=m_{\textrm{I}}=2$, $\xi=-25$ dB, $\alpha~=~3$, and $\mathcal{R}_{\textrm{th}}=1$ bps/Hz.