The Library
Data-driven deployment and cooperative self-organization in ultra-dense small cell networks
Tools
Tools
Tools
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
|
PDF
WRAP-data-driven-deployment-cooperative-Guo-2018.pdf - Accepted Version - Requires a PDF viewer. Download (2886Kb) | Preview |
Official URL: https://ieeexplore.ieee.org/document/8337738/
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: |
|
|||||||||||||||
| 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 | |||||||||||||||
| RIOXX Funder/Project Grant: |
|
|||||||||||||||
| Open Access Version: |
Request changes or add full text files to a record
Repository staff actions (login required)
 |
View Item |
Downloads
Downloads per month over past year
