inis 18(17): e2

Research Article

Outage Probability of Vehicular Networks under Unreliable Backhaul

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  • @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
Cheng Yin1,*, Luning Yang1, Emiliano Garcia-Palacios 1
  • 1: School of Electronics, Electrical Engineering and Computer Science, Queen’s University Belfast, Belfast, U.K
*Contact email: cyin01@qub.ac.uk

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.