Ultra-Dense Networks: A Holistic Analysis of Multi-Piece Path Loss, Antenna Heights, Finite Users and BS Idle Modes

Ding, M; López-Pérez, D; Chen, Y; Mao, G; Lin, Z; Zomaya, AY

Ultra-Dense Networks: A Holistic Analysis of Multi-Piece Path Loss, Antenna Heights, Finite Users and BS Idle Modes

Ding, M López-Pérez, D Chen, Y Mao, G Lin, Z Zomaya, AY

Permalink

Publisher:: Institute of Electrical and Electronics Engineers (IEEE)
Publication Type:: Journal Article
Citation:: IEEE Transactions on Mobile Computing, 2021, 20, (4), pp. 1702-1713
Issue Date:: 2021-04-01

Closed Access

	Filename	Description	Size
	Ultra-Dense_Networks_A_Holistic_Analysis_of_Multi-Piece_Path_Loss_Antenna_Heights_Finite_Users_and_BS_Idle_Modes.pdf	Published version	2.45 MB	Adobe PDF	View/Open

Copyright Clearance Process

Recently Added
In Progress
Closed Access

This item is closed access and not available.

Full metadata record

Field	Value	Language
dc.contributor.author	Ding, M
dc.contributor.author	López-Pérez, D
dc.contributor.author	Chen, Y
dc.contributor.author	Mao, G
dc.contributor.author	Lin, Z
dc.contributor.author	Zomaya, AY
dc.date.accessioned	2022-07-05T03:14:19Z
dc.date.available	2022-07-05T03:14:19Z
dc.date.issued	2021-04-01
dc.identifier.citation	IEEE Transactions on Mobile Computing, 2021, 20, (4), pp. 1702-1713
dc.identifier.issn	1536-1233
dc.identifier.issn	1558-0660
dc.identifier.uri	http://hdl.handle.net/10453/158655
dc.description.abstract	We discover a new capacity scaling law in ultra-dense networks under practical system assumptions, such as a general multi-piece path loss model, a non-zero base station to user equipment antenna height difference, and a finite user equipment density. The intuition and implication of this new capacity scaling law are completely different from those found in the year 2011. That law indicated that the increase of the interference power caused by a denser network would be exactly compensated by the increase of the signal power due to the reduced distance between transmitters and receivers, and thus, network capacity should grow linearly with network densification. However, we find that both the signal and interference powers become bounded in practical ultra-dense networks, which leads to a constant capacity scaling law. Moreover, our new discovery on the constant capacity scaling law indicates three network optimization problems respectively for base station deployment, user equipment scheduling and base station coordination. These three optimization problems are justified and solved in this paper, shedding new light on the deployment and optimization of ultra-dense networks.
dc.language	en
dc.publisher	Institute of Electrical and Electronics Engineers (IEEE)
dc.relation.ispartof	IEEE Transactions on Mobile Computing
dc.relation.isbasedon	10.1109/TMC.2019.2960223
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	0805 Distributed Computing, 0906 Electrical and Electronic Engineering, 1005 Communications Technologies
dc.subject.classification	Networking & Telecommunications
dc.title	Ultra-Dense Networks: A Holistic Analysis of Multi-Piece Path Loss, Antenna Heights, Finite Users and BS Idle Modes
dc.type	Journal Article
utslib.citation.volume	20
utslib.for	0805 Distributed Computing
utslib.for	0906 Electrical and Electronic Engineering
utslib.for	1005 Communications Technologies
utslib.copyright.status	closed_access	*
dc.date.updated	2022-07-05T03:14:18Z
pubs.issue	4
pubs.publication-status	Published
pubs.volume	20
utslib.citation.issue	4

Abstract:

We discover a new capacity scaling law in ultra-dense networks under practical system assumptions, such as a general multi-piece path loss model, a non-zero base station to user equipment antenna height difference, and a finite user equipment density. The intuition and implication of this new capacity scaling law are completely different from those found in the year 2011. That law indicated that the increase of the interference power caused by a denser network would be exactly compensated by the increase of the signal power due to the reduced distance between transmitters and receivers, and thus, network capacity should grow linearly with network densification. However, we find that both the signal and interference powers become bounded in practical ultra-dense networks, which leads to a constant capacity scaling law. Moreover, our new discovery on the constant capacity scaling law indicates three network optimization problems respectively for base station deployment, user equipment scheduling and base station coordination. These three optimization problems are justified and solved in this paper, shedding new light on the deployment and optimization of ultra-dense networks.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/158655