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Data-driven deployment and cooperative self-organization in ultra-dense small cell networks

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Du, Zhiyong, Sun, Youming, Guo, Weisi, Xu, Yuhua, Wu, Qihui and Zhang, Jie (2018) Data-driven deployment and cooperative self-organization in ultra-dense small cell networks. IEEE Access, 6 . pp. 22839-22848. doi:10.1109/ACCESS.2018.2826846 ISSN 2169-3536.

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Official URL: https://ieeexplore.ieee.org/document/8337738/

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Abstract

Ultra-dense small cell network is widely acknowledged as a key enabler for high capacity wireless networks. Some of the key challenges that ultra-dense networks face are profitable deployment distribution under complex traffic loads and efficient radio resource management (RRM) in excessive interference environments. Poor small cell deployment locations can lead to excessive interference without clear profit margins and inefficient resource utilization. As such, data-driven small cell deployment and self-organizing RRM of small cell clusters are regarded as the two main technologies that can improve ultra-dense small cell services. This paper first reviews the latest research in data-driven small-cell deployment using structured and unstructured social media data. A combination of irregular clustering techniques is used to identify hotspots and natural language processing algorithms are used to identify blackspots. The paper then reviews recent advances in self-organization of small cell RRM and analyzes how data can improve self-organization performance. Moreover, the idea of cooperative self-organization is introduced to further promote the self-organization capability. Finally, two ultra-dense small cell RRM case studies are presented to demonstrate the performance improves of cooperative self-organization.

Item Type: Journal Article
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Faculty of Science, Engineering and Medicine > Engineering > Engineering
Library of Congress Subject Headings (LCSH): Wireless communication systems, Radio resource management (Wireless communications)
Journal or Publication Title: IEEE Access
Publisher: IEEE
ISSN: 2169-3536
Official Date: 13 April 2018
Dates:
DateEvent
13 April 2018Available
1 April 2018Accepted
Volume: 6
Page Range: pp. 22839-22848
DOI: 10.1109/ACCESS.2018.2826846
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Open Access (Creative Commons)
Date of first compliant deposit: 18 April 2018
Date of first compliant Open Access: 18 April 2018
RIOXX Funder/Project Grant:
Project/Grant IDRIOXX Funder NameFunder ID
KT- P010734Innovate UKhttp://dx.doi.org/10.13039/501100006041
61601490National Natural Science Foundation of Chinahttp://dx.doi.org/10.13039/501100001809
61631020National Natural Science Foundation of Chinahttp://dx.doi.org/10.13039/501100001809
BK20160034Natural Science Foundation of Jiangsu Provincehttp://dx.doi.org/10.13039/501100004608
Open Access Version:
  • https://ieeexplore.ieee.org/document/833...

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