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Sensors 2017, 17(4), 841; doi:10.3390/s17040841

Wireless Fractal Ultra-Dense Cellular Networks

1
School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, China
2
Laboratory for Telecommunications, Faculty of Electrical Engineering, University of Ljubljana, Trzaska 25, SI-1000 Ljubljan, Slovenia
*
Author to whom correspondence should be addressed.
Academic Editors: Giancarlo Fortino, Hassan Ghasemzadeh, Wenfeng Li, Yin Zhang and Luca Benini
Received: 1 March 2017 / Revised: 9 April 2017 / Accepted: 10 April 2017 / Published: 12 April 2017
(This article belongs to the Special Issue Advances in Body Sensor Networks: Sensors, Systems, and Applications)
View Full-Text   |   Download PDF [873 KB, uploaded 12 April 2017]   |  

Abstract

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. View Full-Text
Keywords: 5G; ultra-dense small cell network; coverage probability 5G; ultra-dense small cell network; coverage probability
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Hao, Y.; Chen, M.; Hu, L.; Song, J.; Volk, M.; Humar, I. Wireless Fractal Ultra-Dense Cellular Networks. Sensors 2017, 17, 841.

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