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Wireless Fractal Ultra-Dense Cellular Networks

With the ever-growing number of mobile devices, there is an explosive expansion in mobile data services. This represents a challenge for the traditional cellular network architecture to cope with the massive wireless traffic generated by mobile media applications. To meet this challenge, research is...

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Detalles Bibliográficos
Autores principales: Hao, Yixue, Chen, Min, Hu, Long, Song, Jeungeun, Volk, Mojca, Humar, Iztok
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5424718/
https://www.ncbi.nlm.nih.gov/pubmed/28417927
http://dx.doi.org/10.3390/s17040841
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author Hao, Yixue
Chen, Min
Hu, Long
Song, Jeungeun
Volk, Mojca
Humar, Iztok
author_facet Hao, Yixue
Chen, Min
Hu, Long
Song, Jeungeun
Volk, Mojca
Humar, Iztok
author_sort Hao, Yixue
collection PubMed
description With the ever-growing number of mobile devices, there is an explosive expansion in mobile data services. This represents a challenge for the traditional cellular network architecture to cope with the massive wireless traffic generated by mobile media applications. To meet this challenge, research is currently focused on the introduction of a small cell base station (BS) due to its low transmit power consumption and flexibility of deployment. However, due to a complex deployment environment and low transmit power of small cell BSs, the coverage boundary of small cell BSs will not have a traditional regular shape. Therefore, in this paper, we discuss the coverage boundary of an ultra-dense small cell network and give its main features: aeolotropy of path loss fading and fractal coverage boundary. Simple performance analysis is given, including coverage probability and transmission rate, etc., based on stochastic geometry theory and fractal theory. Finally, we present an application scene and discuss challenges in the ultra-dense small cell network.
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spelling pubmed-54247182017-05-12 Wireless Fractal Ultra-Dense Cellular Networks Hao, Yixue Chen, Min Hu, Long Song, Jeungeun Volk, Mojca Humar, Iztok Sensors (Basel) Article With the ever-growing number of mobile devices, there is an explosive expansion in mobile data services. This represents a challenge for the traditional cellular network architecture to cope with the massive wireless traffic generated by mobile media applications. To meet this challenge, research is currently focused on the introduction of a small cell base station (BS) due to its low transmit power consumption and flexibility of deployment. However, due to a complex deployment environment and low transmit power of small cell BSs, the coverage boundary of small cell BSs will not have a traditional regular shape. Therefore, in this paper, we discuss the coverage boundary of an ultra-dense small cell network and give its main features: aeolotropy of path loss fading and fractal coverage boundary. Simple performance analysis is given, including coverage probability and transmission rate, etc., based on stochastic geometry theory and fractal theory. Finally, we present an application scene and discuss challenges in the ultra-dense small cell network. MDPI 2017-04-12 /pmc/articles/PMC5424718/ /pubmed/28417927 http://dx.doi.org/10.3390/s17040841 Text en © 2017 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Hao, Yixue
Chen, Min
Hu, Long
Song, Jeungeun
Volk, Mojca
Humar, Iztok
Wireless Fractal Ultra-Dense Cellular Networks
title Wireless Fractal Ultra-Dense Cellular Networks
title_full Wireless Fractal Ultra-Dense Cellular Networks
title_fullStr Wireless Fractal Ultra-Dense Cellular Networks
title_full_unstemmed Wireless Fractal Ultra-Dense Cellular Networks
title_short Wireless Fractal Ultra-Dense Cellular Networks
title_sort wireless fractal ultra-dense cellular networks
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5424718/
https://www.ncbi.nlm.nih.gov/pubmed/28417927
http://dx.doi.org/10.3390/s17040841
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