Nasr, Karim M. ORCID: https://orcid.org/0000-0002-8604-6274 and Moessner, Klaus (2019) A comparison of Knapsack Optimisation and CRE/ABS for MLB in dense self-organising small cells. In: European COST Action IRACON 9th MCM and Technical Meeting, 15th - 18th January 2019, Dublin, Ireland.

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PDF (Conference Paper) 49897 NASR_A_Comparison_Of_Knapsack_Optimisation_And_CRE_ABS_For_MLBn_Dense_Self_Organising_Small_Cells_(AAM)_2019.pdf - Accepted Version Download (449kB) | Preview

Abstract

We investigate the performance of a new approach for mobility load balancing (MLB) and user association in future 5G dense small cell networks. This Self Organising Network (SON) approach uses a Knapsack Optimisation (KO) algorithm to evenly distribute users across a network of small cells. It is shown that the new technique achieves substantial improvements (better than four times reduction) in blocking ratios compared to the case when no MLB strategy is deployed. Comparisons with other MLB approaches relying on Cell Range Expansion (CRE) and Almost Blank Subframes (ABS) are presented highlighting the effectiveness of the new approach as a centralised self optimisation technique for future dense self organising small cells.

Item Type:	Conference or Conference Paper (Paper)
Uncontrolled Keywords:	small cells, Self-Organising Networks (SON); Mobility Load Balancing (MLB), Knapsack Optimisation (KO), CRE, ABS, wireless network planning and optimisation
Subjects:	Q Science > Q Science (General) T Technology > T Technology (General) T Technology > TK Electrical engineering. Electronics Nuclear engineering
Faculty / School / Research Centre / Research Group:	Faculty of Engineering & Science Faculty of Engineering & Science > School of Engineering (ENG)
Related URLs:	Organisation
Last Modified:	03 Mar 2025 11:13
URI:	http://gala.gre.ac.uk/id/eprint/49897

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