Research Article
Outage Probability of Vehicular Networks under Unreliable Backhaul
@ARTICLE{10.4108/eai.19-12-2018.156077, author={Cheng Yin and Luning Yang and Emiliano Garcia-Palacios }, title={Outage Probability of Vehicular Networks under Unreliable Backhaul}, journal={EAI Endorsed Transactions on Industrial Networks and Intelligent Systems}, volume={5}, number={17}, publisher={EAI}, journal_a={INIS}, year={2018}, month={12}, keywords={V2V, Double-Rayleigh fading channels, unreliable backhaul, outage probability}, doi={10.4108/eai.19-12-2018.156077} }- Cheng Yin
Luning Yang
Emiliano Garcia-Palacios
Year: 2018
Outage Probability of Vehicular Networks under Unreliable Backhaul
INIS
EAI
DOI: 10.4108/eai.19-12-2018.156077
Abstract
This paper presents for the first time a heterogeneous vehicular model with multiple moving small cells and a moving receiver with unreliable backhaul. In this system, a macro-base station connects to multiple moving small cells via wireless backhaul links. A Bernoulli process is adopted to model the backhaul reliability. A selection combining protocol is used at the receiver side to maximize the received signal-tonoise ratio. We investigate the impact of the number of moving small cells, the position of the receiver and the backhaul reliability on the system performance over double- Rayleigh fading channels. Expressions for outage probability are derived.
Copyright © 2018 Cheng Yin et al., licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/), which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.
