Outage probability of vehicular networks under unreliable backhaul

Cheng Yin; Luning Yang; Emi Garcia-Palacios

doi:10.4108/eai.19-12-2018.156077

Outage probability of vehicular networks under unreliable backhaul

Cheng Yin, Luning Yang, Emi Garcia-Palacios

School of Electronics, Electrical Engineering and Computer Science

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2 Citations (Scopus)

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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.

Original language	English
Article number	e2
Number of pages	5
Journal	EAI Transactions on Industrial Networks and Intelligent Systems
Volume	5
Issue number	17
DOIs	https://doi.org/10.4108/eai.19-12-2018.156077
Publication status	Published - 19 Dec 2018

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10.4108/eai.19-12-2018.156077Licence: CC BY

Outage probability of vehicular networks under unreliable backhaul
Copyright 2018 the authors. This is an open access article published under a Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium, provided the author and source are cited.
Final published version, 2.7 MBLicence: CC BY

Cite this

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Outage probability of vehicular networks under unreliable backhaul

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