An interference-aware virtual clustering paradigm for resource management in cognitive femtocell networks

2.50
Hdl Handle:
http://hdl.handle.net/10547/593525
Title:
An interference-aware virtual clustering paradigm for resource management in cognitive femtocell networks
Authors:
Tariq, Faisal; Dooley, Laurence S.; Poulton, Adrian S.
Abstract:
Femtocells represent a promising alternative solution for high quality wireless access in indoor scenarios where conventional cellular system coverage can be poor. They are randomly deployed by the end user, so only post-deployment network planning is possible. Furthermore, this uncoordinated deployment creates severe interference to co-located femtocells, especially in dense deployments. This paper presents a new architecture using a generalised virtual cluster femtocell (GVCF) paradigm, which groups together FAP into logical clusters. It guarantees severely interfering and overlapping femtocells are assigned to different clusters. Since each cluster operates on different band of frequencies, the corresponding virtual cluster controller only has to manage its own FAPs, so the overall system complexity is low. The performance of the GVCF algorithm is analysed from both a resource availability and cluster number perspective. Simulation results conclusively corroborate the superior performance of the GVCF model in interference mitigation, particularly in high density FAP scenarios.
Affiliation:
Open University
Citation:
tTariq, F., Dooley, L.S., Poulton, A.S. (2014) 'An interference-aware virtual clustering paradigm for resource management in cognitive femtocell networks' Computers & Electrical Engineering 40 (2):587
Publisher:
Elsevier
Journal:
Computers & Electrical Engineering
Issue Date:
Feb-2014
URI:
http://hdl.handle.net/10547/593525
DOI:
10.1016/j.compeleceng.2013.04.006
Additional Links:
http://linkinghub.elsevier.com/retrieve/pii/S0045790613000918
Type:
Article
Language:
en
ISSN:
0045-7906
Appears in Collections:
Centre for Research in Distributed Technologies (CREDIT)

Full metadata record

DC FieldValue Language
dc.contributor.authorTariq, Faisalen
dc.contributor.authorDooley, Laurence S.en
dc.contributor.authorPoulton, Adrian S.en
dc.date.accessioned2016-01-15T13:30:23Zen
dc.date.available2016-01-15T13:30:23Zen
dc.date.issued2014-02en
dc.identifier.citationtTariq, F., Dooley, L.S., Poulton, A.S. (2014) 'An interference-aware virtual clustering paradigm for resource management in cognitive femtocell networks' Computers & Electrical Engineering 40 (2):587en
dc.identifier.issn0045-7906en
dc.identifier.doi10.1016/j.compeleceng.2013.04.006en
dc.identifier.urihttp://hdl.handle.net/10547/593525en
dc.description.abstractFemtocells represent a promising alternative solution for high quality wireless access in indoor scenarios where conventional cellular system coverage can be poor. They are randomly deployed by the end user, so only post-deployment network planning is possible. Furthermore, this uncoordinated deployment creates severe interference to co-located femtocells, especially in dense deployments. This paper presents a new architecture using a generalised virtual cluster femtocell (GVCF) paradigm, which groups together FAP into logical clusters. It guarantees severely interfering and overlapping femtocells are assigned to different clusters. Since each cluster operates on different band of frequencies, the corresponding virtual cluster controller only has to manage its own FAPs, so the overall system complexity is low. The performance of the GVCF algorithm is analysed from both a resource availability and cluster number perspective. Simulation results conclusively corroborate the superior performance of the GVCF model in interference mitigation, particularly in high density FAP scenarios.en
dc.language.isoenen
dc.publisherElsevieren
dc.relation.urlhttp://linkinghub.elsevier.com/retrieve/pii/S0045790613000918en
dc.rightsArchived with thanks to Computers & Electrical Engineeringen
dc.subjectfemtocellsen
dc.subjectcognitive femtocell networksen
dc.titleAn interference-aware virtual clustering paradigm for resource management in cognitive femtocell networksen
dc.typeArticleen
dc.contributor.departmentOpen Universityen
dc.identifier.journalComputers & Electrical Engineeringen
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