A dual-directional path-loss model in 5G wireless fractal small cell networks

Jiaqi Chen, Fen Bin, Xiaohu Ge*, Qiang Li, Cheng-Xiang Wang

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

Abstract

With the anticipated increase in the number of low power base stations (BSs) deployed in small cell networks, blockage effects becoming more sensitive on wireless transmissions over high spectrums, variable propagation fading scenarios make it hard to describe coverage of small cell networks. In this paper, we propose a dual-directional path loss model cooperating with Line-of-Sight (LoS) and Non-Line-of-Sight (NLoS) transmissions for the fifth generation (5G) fractal small cell networks. Based on the proposed path loss model, a LoS transmission probability is derived as a function of the coordinate azimuth of the BS and the distance between the mobile user (MU) and the BS. Moreover, the coverage probability and the average achievable rate are analyzed for 5G fractal small cell networks. Numerical results imply that the minimum intensity of blockages and the maximum intensity of BSs can not guarantee the maximum average achievable rate in 5G fractal small cell networks. Our results explore the relationship between the anisotropic path loss fading and the small cell coverage in 5G fractal small cell networks.

Original languageEnglish
Title of host publication2017 IEEE International Conference on Communications (ICC)
PublisherIEEE
ISBN (Electronic)9781467389990
DOIs
Publication statusPublished - 31 Jul 2017
Event2017 IEEE International Conference on Communications - Paris, France
Duration: 21 May 201725 May 2017

Publication series

NameIEEE International Conference on Communications
PublisherIEEE
ISSN (Print)1938-1883

Conference

Conference2017 IEEE International Conference on Communications
Abbreviated titleICC 2017
Country/TerritoryFrance
CityParis
Period21/05/1725/05/17

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Electrical and Electronic Engineering

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