Stochastic analysis of a cellular network with mobile relays

Yangyang Chen; Philippe Martins; Laurent Decreusefond; Feng Yan; Xavier Lagrange

doi:10.1109/GLOCOM.2014.7037559

Stochastic analysis of a cellular network with mobile relays

Yangyang Chen
, Philippe Martins
, Laurent Decreusefond
, Feng Yan
, Xavier Lagrange

IRISA

Research output: Contribution to journal › Conference article › peer-review

Abstract

In this paper, we proposed a general analytical model for mobile relay scenario using stochastic geometry approach. By applying different parameters into this general model, the Cumulative Distribution Function of the SINR and the average achievable rate on different links in both traditional mode and relay mode can be obtained. According to numerical results, we observed that penetration loss between outdoor and in-vehicle is a key factor to decide whether mobile relay could bring data rate gain into the system. When penetration loss is large, mobile relay could bring considerable data rate gain to embedded UEs inside the bus.

Original language	English
Article number	7037559
Pages (from-to)	4758-4763
Number of pages	6
Journal	Proceedings - IEEE Global Communications Conference, GLOBECOM
DOIs	https://doi.org/10.1109/GLOCOM.2014.7037559
Publication status	Published - 1 Jan 2014
Event	2014 IEEE Global Communications Conference, GLOBECOM 2014 - Austin, United States Duration: 8 Dec 2014 → 12 Dec 2014

Keywords

Analytical Model
Mobile Relay
Rate
Stochastic Geometry

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10.1109/GLOCOM.2014.7037559

Cite this

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title = "Stochastic analysis of a cellular network with mobile relays",

abstract = "In this paper, we proposed a general analytical model for mobile relay scenario using stochastic geometry approach. By applying different parameters into this general model, the Cumulative Distribution Function of the SINR and the average achievable rate on different links in both traditional mode and relay mode can be obtained. According to numerical results, we observed that penetration loss between outdoor and in-vehicle is a key factor to decide whether mobile relay could bring data rate gain into the system. When penetration loss is large, mobile relay could bring considerable data rate gain to embedded UEs inside the bus.",

keywords = "Analytical Model, Mobile Relay, Rate, Stochastic Geometry",

author = "Yangyang Chen and Philippe Martins and Laurent Decreusefond and Feng Yan and Xavier Lagrange",

note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 2014 IEEE Global Communications Conference, GLOBECOM 2014 ; Conference date: 08-12-2014 Through 12-12-2014",

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doi = "10.1109/GLOCOM.2014.7037559",

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T1 - Stochastic analysis of a cellular network with mobile relays

AU - Chen, Yangyang

AU - Martins, Philippe

AU - Decreusefond, Laurent

AU - Yan, Feng

AU - Lagrange, Xavier

PY - 2014/1/1

Y1 - 2014/1/1

N2 - In this paper, we proposed a general analytical model for mobile relay scenario using stochastic geometry approach. By applying different parameters into this general model, the Cumulative Distribution Function of the SINR and the average achievable rate on different links in both traditional mode and relay mode can be obtained. According to numerical results, we observed that penetration loss between outdoor and in-vehicle is a key factor to decide whether mobile relay could bring data rate gain into the system. When penetration loss is large, mobile relay could bring considerable data rate gain to embedded UEs inside the bus.

AB - In this paper, we proposed a general analytical model for mobile relay scenario using stochastic geometry approach. By applying different parameters into this general model, the Cumulative Distribution Function of the SINR and the average achievable rate on different links in both traditional mode and relay mode can be obtained. According to numerical results, we observed that penetration loss between outdoor and in-vehicle is a key factor to decide whether mobile relay could bring data rate gain into the system. When penetration loss is large, mobile relay could bring considerable data rate gain to embedded UEs inside the bus.

KW - Analytical Model

KW - Mobile Relay

KW - Rate

KW - Stochastic Geometry

UR - https://www.scopus.com/pages/publications/84949922454

U2 - 10.1109/GLOCOM.2014.7037559

DO - 10.1109/GLOCOM.2014.7037559

M3 - Conference article

AN - SCOPUS:84949922454

SN - 2334-0983

SP - 4758

EP - 4763

JO - Proceedings - IEEE Global Communications Conference, GLOBECOM

JF - Proceedings - IEEE Global Communications Conference, GLOBECOM

M1 - 7037559

T2 - 2014 IEEE Global Communications Conference, GLOBECOM 2014

Y2 - 8 December 2014 through 12 December 2014

ER -

Stochastic analysis of a cellular network with mobile relays

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Keywords

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