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Knapsack optimisation versus cell range expansion for mobility load balancing in dense small cells

Knapsack optimisation versus cell range expansion for mobility load balancing in dense small cells

Nasr, Karim M. ORCID: 0000-0002-8604-6274 and Moessner, Klaus (2018) Knapsack optimisation versus cell range expansion for mobility load balancing in dense small cells. In: 2018 European Conference on Networks and Communications (EuCNC). IEEE, pp. 1-9. ISBN 978-1538614785 ISSN 2575-4912 (Online) (doi:https://doi.org/10.1109/EuCNC.2018.8443218)

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Abstract

We present a new approach for mobility load balancing (MLB) and user association in dense small cell scenarios. This Self Organizing Network (SON) approach relies on Knapsack Optimisation (KO) to evenly distribute users across a cluster of small cells subject to constraints. It is shown that the new technique referred to as (MLB-KO) achieves substantial improvements (better than four times reduction) in blocking ratios compared to the case when no MLB strategy is deployed. Comparisons with other approaches relying on Cell Range Expansion (CRE) and Almost Blank Subframes (ABS) are also presented highlighting the effectiveness of the new approach as a centralised self optimisation technique for future dense small cell network deployments.

Item Type: Conference Proceedings
Title of Proceedings: 2018 European Conference on Networks and Communications (EuCNC)
Uncontrolled Keywords: small cells, self-organising networks (SON), mobility load balancing (MLB), knapsack optimisation (KO), CRE, ABS, wireless network planning and optimisation
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
Faculty / Department / Research Group: Faculty of Engineering & Science
Faculty of Engineering & Science > Department of Engineering Science
Last Modified: 01 Oct 2019 12:22
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
Selected for GREAT 2019: None
URI: http://gala.gre.ac.uk/id/eprint/25307

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