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

Research output: Contribution to journal › Article › peer-review

3 Citations (Scopus)

131 Downloads (Pure)

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 Endorsed 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

Access to Document

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

@article{ecbd0ca59304407dbc73ca81bbdedae7,

title = "Outage probability of vehicular networks under unreliable backhaul",

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.",

author = "Cheng Yin and Luning Yang and Emi Garcia-Palacios",

year = "2018",

month = dec,

day = "19",

doi = "10.4108/eai.19-12-2018.156077",

language = "English",

volume = "5",

journal = "EAI Endorsed Transactions on Industrial Networks and Intelligent Systems",

issn = "2410-0218",

publisher = "European Alliance for Innovation",

number = "17",

}

TY - JOUR

T1 - Outage probability of vehicular networks under unreliable backhaul

AU - Yin, Cheng

AU - Yang, Luning

AU - Garcia-Palacios, Emi

PY - 2018/12/19

Y1 - 2018/12/19

N2 - 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.

AB - 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.

U2 - 10.4108/eai.19-12-2018.156077

DO - 10.4108/eai.19-12-2018.156077

M3 - Article

SN - 2410-0218

VL - 5

JO - EAI Endorsed Transactions on Industrial Networks and Intelligent Systems

JF - EAI Endorsed Transactions on Industrial Networks and Intelligent Systems

IS - 17

M1 - e2

ER -

Outage probability of vehicular networks under unreliable backhaul

Abstract

Access to Document

Fingerprint

Cite this