DocumentCode :
660354
Title :
Mobility Robustness Optimization in Enterprise LTE Femtocells
Author :
Buenestado, V. ; Ruiz-Aviles, J.M. ; Toril, Matias ; Luna-Ramirez, S.
Author_Institution :
Commun. Eng. Dept., Univ. of Malaga, Malaga, Spain
fYear :
2013
fDate :
2-5 June 2013
Firstpage :
1
Lastpage :
5
Abstract :
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.
Keywords :
Long Term Evolution; femtocellular radio; fuzzy control; mobility management (mobile radio); telecommunication congestion control; LTE femtocell network; Long Term Evolution; call dropping ratio; enterprise LTE Femtocells; fuzzy logic controller; handover parameters; handover performance; mobility robustness optimization; self-optimization algorithm; self-organizing network; time-to-trigger parameters; Algorithm design and analysis; Femtocells; Handover; Load modeling; Long Term Evolution; Optimization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Vehicular Technology Conference (VTC Spring), 2013 IEEE 77th
Conference_Location :
Dresden
ISSN :
1550-2252
Type :
conf
DOI :
10.1109/VTCSpring.2013.6692637
Filename :
6692637
Link To Document :
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