Parameter Optimization for LTE Handover Using an Advanced SOM Algorithm

Author

Sinclair, N. ; Harle, D. ; Glover, Ian A. ; Irvine, James ; Atkinson, Robert C.

Author_Institution

Dept. of Electron. & Electr. Eng., Univ. of Strathclyde, Glasgow, UK

fYear

2013

fDate

2-5 June 2013

Firstpage

1

Lastpage

6

Abstract

A novel approach to enhance the robustness of handovers in LTE femtocells is presented. A modified Self Organizing Map is used to allow femtocells to learn about their specific indoor environment including the locations that have prompted handover requests. Optimized handover parameter values are then used that are specific to these locations. This approach reduces both the number of handover failures and the occurrence of ping-pong handovers. It also improves network efficiency by reducing the signaling overhead. The application of machine learning to this task complies with the plug-and-play functionality that is a requirement of Self Organizing Networks in LTE systems.

Keywords

Long Term Evolution; femtocellular radio; indoor radio; learning (artificial intelligence); mobility management (mobile radio); self-organising feature maps; telecommunication computing; telecommunication signalling; LTE handover requests; advanced SOM algorithm; femtocells; handover failures; handover parameter value optimization; indoor environment; machine learning; network efficiency improvement; ping-pong handover occurrence; plug-and-play functionality; self organizing map; signaling overhead reduction; Equations; Femtocells; Handover; Kernel; Mathematical model; Neurons;

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.2013.6692692

Filename

6692692