An Optimization Design of Ultra Dense Networks Balancing Mobility and Densification

The ultra-dense network (UDN) has been identified as an appealing solution to address the huge service demands in future 5G and beyond. In this paper, we propose an optimization design of UDN balancing user mobility and network densification, where the massive users are divided into different groups...

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Main Authors:	Jinkang Zhu, Ming Zhao, Shengli Zhou
Format:	Article
Language:	English
Published:	IEEE 2018-01-01
Series:	IEEE Access
Subjects:	Ultra dense network UDN optimization user mobility cell radius area spectral efficiency balancing mobility and densification
Online Access:	https://ieeexplore.ieee.org/document/8375943/

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spelling	doaj-7dd5eb4f44d243ed9894532905eae20f2021-03-29T20:46:21ZengIEEEIEEE Access2169-35362018-01-016323393234810.1109/ACCESS.2018.28456908375943An Optimization Design of Ultra Dense Networks Balancing Mobility and DensificationJinkang Zhu0https://orcid.org/0000-0001-9177-0315Ming Zhao1https://orcid.org/0000-0003-4126-3678Shengli Zhou2Key Laboratory of Wireless-Optical Communications, School of Information Science and Technology, Chinese Academy of Sciences, University of Science and Technology of China, Hefei, ChinaKey Laboratory of Wireless-Optical Communications, School of Information Science and Technology, Chinese Academy of Sciences, University of Science and Technology of China, Hefei, ChinaDepartment of Electrical and Computer Engineering, University of Connecticut, Storrs, CT, USAThe ultra-dense network (UDN) has been identified as an appealing solution to address the huge service demands in future 5G and beyond. In this paper, we propose an optimization design of UDN balancing user mobility and network densification, where the massive users are divided into different groups according to their moving speeds, and different groups are served by different subnets. This way, the UDN can adjust subnet parameters to meet the service demands using minimum resource. Specifically, we first present the objective of the UDN optimization, then look at the area spectral efficiency of each individual subnet if selected to serve users within a speed range, and finally carry out the joint optimization across multiple subnets. Numerical examples demonstrate that the proposed approach is effective and practical, meeting the service demands with the least bandwidth resource consumption.https://ieeexplore.ieee.org/document/8375943/Ultra dense networkUDN optimizationuser mobilitycell radiusarea spectral efficiencybalancing mobility and densification
collection	DOAJ
language	English
format	Article
sources	DOAJ
author	Jinkang Zhu Ming Zhao Shengli Zhou
spellingShingle	Jinkang Zhu Ming Zhao Shengli Zhou An Optimization Design of Ultra Dense Networks Balancing Mobility and Densification IEEE Access Ultra dense network UDN optimization user mobility cell radius area spectral efficiency balancing mobility and densification
author_facet	Jinkang Zhu Ming Zhao Shengli Zhou
author_sort	Jinkang Zhu
title	An Optimization Design of Ultra Dense Networks Balancing Mobility and Densification
title_short	An Optimization Design of Ultra Dense Networks Balancing Mobility and Densification
title_full	An Optimization Design of Ultra Dense Networks Balancing Mobility and Densification
title_fullStr	An Optimization Design of Ultra Dense Networks Balancing Mobility and Densification
title_full_unstemmed	An Optimization Design of Ultra Dense Networks Balancing Mobility and Densification
title_sort	optimization design of ultra dense networks balancing mobility and densification
publisher	IEEE
series	IEEE Access
issn	2169-3536
publishDate	2018-01-01
description	The ultra-dense network (UDN) has been identified as an appealing solution to address the huge service demands in future 5G and beyond. In this paper, we propose an optimization design of UDN balancing user mobility and network densification, where the massive users are divided into different groups according to their moving speeds, and different groups are served by different subnets. This way, the UDN can adjust subnet parameters to meet the service demands using minimum resource. Specifically, we first present the objective of the UDN optimization, then look at the area spectral efficiency of each individual subnet if selected to serve users within a speed range, and finally carry out the joint optimization across multiple subnets. Numerical examples demonstrate that the proposed approach is effective and practical, meeting the service demands with the least bandwidth resource consumption.
topic	Ultra dense network UDN optimization user mobility cell radius area spectral efficiency balancing mobility and densification
url	https://ieeexplore.ieee.org/document/8375943/
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An Optimization Design of Ultra Dense Networks Balancing Mobility and Densification

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