Fractional Frequency Reuse in distributed antenna systems in Cloud Radio Access Networks

He, Y; Dutkiewicz, E; Fang, G; Mueck, MD

Fractional Frequency Reuse in distributed antenna systems in Cloud Radio Access Networks

He, Y

Dutkiewicz, E

Fang, G

Mueck, MD

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Publisher:: IEEE
Publication Type:: Conference Proceeding
Citation:: 2015 IEEE International Conference on Communication Workshop, ICCW 2015, 2015, pp. 907-912
Issue Date:: 2015-01-01

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Field	Value	Language
dc.contributor.author	He, Y https://orcid.org/0000-0003-1603-9375
dc.contributor.author	Dutkiewicz, E https://orcid.org/0000-0002-4268-9286
dc.contributor.author	Fang, G https://orcid.org/0000-0003-0845-6718
dc.contributor.author	Mueck, MD
dc.date	2015-06-08
dc.date.accessioned	2023-03-21T06:24:20Z
dc.date.available	2023-03-21T06:24:20Z
dc.date.issued	2015-01-01
dc.identifier.citation	2015 IEEE International Conference on Communication Workshop, ICCW 2015, 2015, pp. 907-912
dc.identifier.isbn	9781467363051
dc.identifier.issn	2164-7038
dc.identifier.uri	http://hdl.handle.net/10453/167975
dc.description.abstract	© 2015 IEEE. A distributed antenna system (DAS) architecture is considered to be a key enabler for further Network Virtualization where different network configurations are created as needed by a centralized decision making unit that is typically integrated into the Cloud Radio Access Networks (C-RAN) which offers a potential architecture for 5G wireless communication systems. Many schemes have been proposed for Fractional Frequency Reuse (FFR) for resource allocation in the static cellular network architecture. In this paper, we investigate the effect of different FFR resource allocation approaches on the downlink cell edge users’ capacity. We use a Multiset approach to model the resource allocation and interference. Targeting maximum average capacity, a closed-form lower bound of the average capacity is derived and the optimum FFR resource allocation is obtained. This provides a guide in the evaluation of DAS performance.
dc.language	en
dc.publisher	IEEE
dc.relation.ispartof	2015 IEEE International Conference on Communication Workshop, ICCW 2015
dc.relation.ispartof	IEEE International Conference on Communication Workshop
dc.relation.ispartofseries	IEEE International Conference on Communications Workshops
dc.relation.isbasedon	10.1109/ICCW.2015.7247291
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	Fractional Frequency Reuse in distributed antenna systems in Cloud Radio Access Networks
dc.type	Conference Proceeding
utslib.location.activity	London, ENGLAND
utslib.for	0906 Electrical and Electronic Engineering
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/Strength - GBDTC - Global Big Data Technologies
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
utslib.copyright.status	closed_access	*
pubs.consider-herdc	false
dc.date.updated	2023-03-21T06:24:19Z
pubs.finish-date	2015-06-12
pubs.publication-status	Published
pubs.start-date	2015-06-08

Abstract:

© 2015 IEEE. A distributed antenna system (DAS) architecture is considered to be a key enabler for further Network Virtualization where different network configurations are created as needed by a centralized decision making unit that is typically integrated into the Cloud Radio Access Networks (C-RAN) which offers a potential architecture for 5G wireless communication systems. Many schemes have been proposed for Fractional Frequency Reuse (FFR) for resource allocation in the static cellular network architecture. In this paper, we investigate the effect of different FFR resource allocation approaches on the downlink cell edge users’ capacity. We use a Multiset approach to model the resource allocation and interference. Targeting maximum average capacity, a closed-form lower bound of the average capacity is derived and the optimum FFR resource allocation is obtained. This provides a guide in the evaluation of DAS performance.

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http://hdl.handle.net/10453/167975