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

Tariq, Faisal; Dooley, Laurence and Poulton, Adrian (2014). An interference-aware virtual clustering paradigm for resource management in cognitive femtocell networks. Computers & Electrical Engineering, 40(2) pp. 587–598.

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URL: http://www.sciencedirect.com/science/article/pii/S...
DOI (Digital Object Identifier) Link: https://doi.org/10.1016/j.compeleceng.2013.04.006
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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.

Item Type: Journal Item
Copyright Holders: 2013 Elsevier Ltd.
ISSN: 0045-7906
Keywords: femtocell; interference management; resource allocation; heterogeneous networks; virtual clustering
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Computing and Communications
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Research Group: Centre for Research in Computing (CRC)
Item ID: 37630
Depositing User: Faisal Tariq
Date Deposited: 20 May 2013 08:23
Last Modified: 12 Sep 2018 19:09
URI: http://oro.open.ac.uk/id/eprint/37630
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