Will the area spectral efficiency monotonically grow as small cells go dense?

Ding, M; Lopez-Perez, D; Mao, G; Wang, P; Lin, Z

Will the area spectral efficiency monotonically grow as small cells go dense?

Ding, M Lopez-Perez, D Mao, G Wang, P Lin, Z

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Publisher:: IEEE
Publication Type:: Conference Proceeding
Citation:: Proceedings of the 2015 IEEE Global Communications Conference, GLOBECOM 2015, 2016
Issue Date:: 2016-02-23

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Field	Value	Language
dc.contributor.author	Ding, M	en_US
dc.contributor.author	Lopez-Perez, D	en_US
dc.contributor.author	Mao, G	en_US
dc.contributor.author	Wang, P	en_US
dc.contributor.author	Lin, Z	en_US
dc.date	2015-12-06	en_US
dc.date.accessioned	2017-04-25T03:46:32Z
dc.date.available	2017-04-25T03:46:32Z
dc.date.issued	2016-02-23	en_US
dc.identifier.citation	Proceedings of the 2015 IEEE Global Communications Conference, GLOBECOM 2015, 2016	en_US
dc.identifier.isbn	9781479959525	en_US
dc.identifier.uri	http://hdl.handle.net/10453/94126
dc.description.abstract	© 2015 IEEE. In this paper, we introduce a sophisticated path loss model into the stochastic geometry analysis incorporating both line-of-sight (LoS) and non- line-of-sight (NLoS) transmissions to study their performance impact in small cell networks (SCNs). Analytical results are obtained on the coverage probability and the area spectral efficiency (ASE) assuming both a general path loss model and a special case of path loss model recommended by the 3rd Generation Partnership Project (3GPP) standards. The performance impact of LoS and NLoS transmissions in SCNs in terms of the coverage probability and the ASE is shown to be significant both quantitatively and qualitatively, compared with previous work that does not differentiate LoS and NLoS transmissions. From the investigated set of parameters, our analysis demonstrates that when the density of small cells is larger than a threshold, the network coverage probability will decrease as small cells become denser, which in turn makes the ASE suffer from a slow growth or even a notable decrease. For practical regime of small cell density, the performance results derived from our analysis are distinctively different from previous results, and shed new insights on the design and deployment of future dense/ultra-dense SCNs. It is of significant interest to further study the generality of our conclusion in other network models and with other parameter sets.	en_US
dc.publisher	IEEE	en_US
dc.relation.ispartof	Proceedings of the 2015 IEEE Global Communications Conference, GLOBECOM 2015	en_US
dc.relation.ispartof	IEEE Global Communications Conference, GLOBECOM	en_US
dc.relation.isbasedon	10.1109/GLOCOM.2014.7416981	en_US
dc.relation.isreplacedby	10453/41060
dc.relation.isreplacedby	http://hdl.handle.net/10453/41060
dc.rights	© 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.	en_US
dc.title	Will the area spectral efficiency monotonically grow as small cells go dense?	en_US
dc.type	Conference Proceeding
utslib.location	Piscataway, USA	en_US
utslib.location.activity	San Diego, USA	en_US
utslib.for	080501 Distributed and Grid Systems	en_US
utslib.for	100503 Computer Communications Networks	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 Computing and Communications
pubs.organisational-group	/University of Technology Sydney/Strength - CRIN - Realtime Information Networks
utslib.copyright.status	open_access
pubs.declined	2017-04-25T13:46:32.84+1000
pubs.consider-herdc	true	en_US
pubs.merge-to	10453/41060
pubs.merge-to	http://hdl.handle.net/10453/41060
pubs.deleted	2017-04-25T13:46:32.84+1000
pubs.finish-date	2015-12-10	en_US
pubs.place-of-publication	Piscataway, USA	en_US
pubs.publication-status	Published	en_US
pubs.start-date	2015-12-06	en_US

Abstract:

© 2015 IEEE. In this paper, we introduce a sophisticated path loss model into the stochastic geometry analysis incorporating both line-of-sight (LoS) and non- line-of-sight (NLoS) transmissions to study their performance impact in small cell networks (SCNs). Analytical results are obtained on the coverage probability and the area spectral efficiency (ASE) assuming both a general path loss model and a special case of path loss model recommended by the 3rd Generation Partnership Project (3GPP) standards. The performance impact of LoS and NLoS transmissions in SCNs in terms of the coverage probability and the ASE is shown to be significant both quantitatively and qualitatively, compared with previous work that does not differentiate LoS and NLoS transmissions. From the investigated set of parameters, our analysis demonstrates that when the density of small cells is larger than a threshold, the network coverage probability will decrease as small cells become denser, which in turn makes the ASE suffer from a slow growth or even a notable decrease. For practical regime of small cell density, the performance results derived from our analysis are distinctively different from previous results, and shed new insights on the design and deployment of future dense/ultra-dense SCNs. It is of significant interest to further study the generality of our conclusion in other network models and with other parameter sets.

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http://hdl.handle.net/10453/94126