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A cell range expansion framework for closed access femtocell networks

Tariq, Faisal; Dooley, Laurence; Allen, Ben; Poulton, Adrian and Liu, Enjie (2017). A cell range expansion framework for closed access femtocell networks. Wireless Personal Communications, 93(3) pp. 601–614.

DOI (Digital Object Identifier) Link: https://doi.org/10.1007/s11277-014-2216-y
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Abstract

While femtocell networks represent a promising solution for extending high data-rate wireless services in indoor environments, despite their many benefits the short coverage distances involved can lead to frequent handovers being triggered resulting in overloading the macrocells. This handover problem is further exacerbated for users operating at the cell boundary. One solution is to keep the mobile station (MS) connected to the femtocell access points (FAP) by applying a handover bias to expand the femtocells coverage, though arbitrarily increasing the cell range can have a detrimental effect on system performance as the received interference will increase and may exceed tolerable levels. Many disparate factors including: FAP deployment density; resource constraints; and cell range expansion (CRE) influence the crucial interference-system performance nexus, and this was the motivation to analyse this relationship in order to facilitate successful FAP deployment. This paper critically analyses the impact of femtocell range expansion with a system-level simulation being undertaken for cooperative and non-cooperative resource allocation strategies. A new CRE framework for femtocell networks is then proposed, which takes cognisance of the interplay between key system parameters, with results confirming the cooperative model consistently outperforms the non-cooperative approach so affording enhanced system flexibility in terms of FAP range expansion.

Item Type: Journal Item
Copyright Holders: 2014 Springer Science+Business Media New York
ISSN: 1572-834X
Extra Information: 14 pp.
Keywords: femtocell; interference management; channel allocations; virtual clustering
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Computing and Communications
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Interdisciplinary Research Centre: Centre for Research in Computing (CRC)
Item ID: 41641
Depositing User: Laurence Dooley
Date Deposited: 26 Jan 2015 11:03
Last Modified: 22 Apr 2017 16:38
URI: http://oro.open.ac.uk/id/eprint/41641
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