A Model Based Poisson Point Process for Downlink Cellular Networks Using Joint Scheduling

Lam, SC; Sandrasegaran, K

A Model Based Poisson Point Process for Downlink Cellular Networks Using Joint Scheduling

Lam, SC

Sandrasegaran, K

Permalink

Publication Type:: Journal Article
Citation:: Wireless Personal Communications, 2019, 107 (4), pp. 1717 - 1725
Issue Date:: 2019-08-01

Open Access

Copyright Clearance Process

Recently Added
In Progress
Open Access

This item is open access.

Adobe PDF

Download Accepted Manuscript VersionAdobe PDF (1.16 MB)

View on publisher's site

View statistics

Full metadata record

Field	Value	Language
dc.contributor.author	Lam, SC https://orcid.org/0000-0003-4546-3378	en_US
dc.contributor.author	Sandrasegaran, K https://orcid.org/0000-0003-1270-5756	en_US
dc.date.issued	2019-08-01	en_US
dc.identifier.citation	Wireless Personal Communications, 2019, 107 (4), pp. 1717 - 1725	en_US
dc.identifier.issn	0929-6212	en_US
dc.identifier.uri	http://hdl.handle.net/10453/132331
dc.description.abstract	© 2019, Springer Science+Business Media, LLC, part of Springer Nature. This paper proposes a model based on a random cellular network to analyse performance of Joint Scheduling in which a typical user measures signal-to-interference-plus-noise ratio (SINR) on different resource blocks from K nearest BSs in order to find out the BS with the highest SINR to establish communication. The paper derives the general form of average coverage probability of a typical user in the case of K> 2 and its close-form expression in the case of K= 2. The analytical results which are verified by Monte Carlo simulation indicates that (1) using the Joint Scheduling can improve the user’s performance up to 34.88 % in the case of the path loss exponent α= 3 ; (2) the effect of the density of BSs on the user association probability is infinitesimal.	en_US
dc.relation.ispartof	Wireless Personal Communications	en_US
dc.relation.isbasedon	10.1007/s11277-019-06353-7	en_US
dc.rights	info:eu-repo/semantics/openAccess
dc.subject.classification	Networking & Telecommunications	en_US
dc.title	A Model Based Poisson Point Process for Downlink Cellular Networks Using Joint Scheduling	en_US
dc.type	Journal Article
utslib.citation.volume	4	en_US
utslib.citation.volume	107	en_US
utslib.for	0805 Distributed Computing	en_US
utslib.for	1005 Communications Technologies	en_US
utslib.for	0906 Electrical and Electronic Engineering	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - CRIN - Realtime Information Networks
utslib.copyright.status	open_access	*
pubs.issue	4	en_US
pubs.publication-status	Published	en_US
pubs.volume	107	en_US

Abstract:

© 2019, Springer Science+Business Media, LLC, part of Springer Nature. This paper proposes a model based on a random cellular network to analyse performance of Joint Scheduling in which a typical user measures signal-to-interference-plus-noise ratio (SINR) on different resource blocks from K nearest BSs in order to find out the BS with the highest SINR to establish communication. The paper derives the general form of average coverage probability of a typical user in the case of K> 2 and its close-form expression in the case of K= 2. The analytical results which are verified by Monte Carlo simulation indicates that (1) using the Joint Scheduling can improve the user’s performance up to 34.88 % in the case of the path loss exponent α= 3 ; (2) the effect of the density of BSs on the user association probability is infinitesimal.

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

http://hdl.handle.net/10453/132331