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Knapsack optimisation for mobility load balancing in dense small cell deployments

Knapsack optimisation for mobility load balancing in dense small cell deployments

Nasr, Karim M. ORCID: 0000-0002-8604-6274, Vahid, Seiamak and Moessner, Klaus (2018) Knapsack optimisation for mobility load balancing in dense small cell deployments. Cognitive Radio Oriented Wireless Networks. 12th International Conference, CROWNCOM 2017, Lisbon, Portugal, September 20-21, 2017, Proceedings, 228. pp. 337-346. ISSN 1867-8211 (Print), 1867-822X (Online) (doi:https://doi.org/10.1007/978-3-319-76207-4_28)

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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 participating cells subject to constraints. It is shown that the new technique referred to as (MLB-KO) achieves substantial improvements (better than three times reduction) in blocking ratios for the studied use cases.

Item Type: Article
Uncontrolled Keywords: small cells, self-organizing networks (SON), mobility load balancing (MLB), knapsack optimisation (KO), wireless network planning and optimisation, cognitive networks, 5G
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 12:44
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/25305

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