Mobility Robustness Optimization in Enterprise LTE Femtocells

Mobility robustness optimization has been identified as an important use case of Self-Organizing Network (SON). In this paper, a self-optimization algorithm for tuning handover (HO) parameters of a Long Term Evolution (LTE) femtocell network in an office scenario is presented. The algorithm is imple...

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Bibliographic Details
Main Authors: Buenestado, V., Ruiz-Aviles, J. M., Toril, M., Luna-Ramirez, S.
Format: Conference Proceeding
Language:English
Subjects:
Algorithm design and analysis
Femtocells
Handover
Load modeling
Long Term Evolution
Optimization
Online Access:Request full text
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Summary:Mobility robustness optimization has been identified as an important use case of Self-Organizing Network (SON). In this paper, a self-optimization algorithm for tuning handover (HO) parameters of a Long Term Evolution (LTE) femtocell network in an office scenario is presented. The algorithm is implemented by a fuzzy logic controller, which jointly tunes HO margin and Time-to-Trigger parameters. The aim of the algorithm is to improve the overall handover performance, given by the average number of HOs per call and the call dropping ratio. Simulation results show that, unlike existing algorithms, the proposed algorithm improves network performance for any situation of average network load.
ISSN:1550-2252
DOI:10.1109/VTCSpring.2013.6692637