Research Article
Knapsack Optimisation for Mobility Load Balancing in Dense Small Cell Deployments
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@INPROCEEDINGS{10.1007/978-3-319-76207-4_28, author={Karim Nasr and Seiamak Vahid and Klaus Moessner}, title={Knapsack Optimisation for Mobility Load Balancing in Dense Small Cell Deployments}, proceedings={Cognitive Radio Oriented Wireless Networks. 12th International Conference, CROWNCOM 2017, Lisbon, Portugal, September 20-21, 2017, Proceedings}, proceedings_a={CROWNCOM}, year={2018}, month={3}, keywords={Small cells Self-Organizing Networks (SON) Mobility Load Balancing (MLB) Knapsack Optimisation (KO) Wireless network planning and optimisation Cognitive networks 5G}, doi={10.1007/978-3-319-76207-4_28} }- Karim Nasr
Seiamak Vahid
Klaus Moessner
Year: 2018
Knapsack Optimisation for Mobility Load Balancing in Dense Small Cell Deployments
CROWNCOM
Springer
DOI: 10.1007/978-3-319-76207-4_28
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.
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