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