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Erschienen in: Wireless Networks 7/2018

03.03.2017

Moving network based on mmWave technology: a promising solution for 5G vehicular users

Erschienen in: Wireless Networks | Ausgabe 7/2018

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Abstract

Mobile connectivity is a vital requirement for people’s everyday life. Users would like to have unlimited access to information for anyone, anywhere, and anytime, especially in public means of transport where they spend a lot of time travelling. The connectivity to Internet becomes difficult for passengers because public transportation vehicles suffer from the low quality signal from the outside wireless network. A first solution to improve the broadband connectivity is to deploy more eNodeBs close to busses or train routes, but it requires high investment for providers and a higher complexity in managing the increasing number of handover. The rapid growth in the deployment of LTE femtocells for indoor use and their benefits have led many authors to propose using them even in vehicles, implementing the so-called Moving Networks. This paper shows that the use of pure LTE mobile femtocells exhibits relevant issues in terms of interference and consequently poor performance in a realistic use. In order to overcome these issues, we propose to adopt the millimeter Wave (mmWave) technology in the Moving Networks, creating the Hybrid Mobile Femtocells. In the paper we discuss the concerns arising from applying mmWave communications at 60 GHz inside vehicles. We provide a new throughput analysis in order to benchmark our proposal to the solutions presented in literature. Furthermore, we analyse the system performance in two different scenarios: a sub-urban setup and in an urban configuration where different kind of cells are deployed. The results obtained by Matlab simulations, show a noticeable improvement of the global system throughput by using Hybrid Mobile Femtocells.

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Metadaten
Titel
Moving network based on mmWave technology: a promising solution for 5G vehicular users
Publikationsdatum
03.03.2017
Erschienen in
Wireless Networks / Ausgabe 7/2018
Print ISSN: 1022-0038
Elektronische ISSN: 1572-8196
DOI
https://doi.org/10.1007/s11276-017-1479-0

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