Parameter optimization for LTE handover using an advanced SOM algorithm

Neil Sinclair; David A. Harle; Ian A. Glover; James M.  Irvine; Robert C.  Atkinson

doi:10.1109/VTCSpring.2013.6692692

Parameter optimization for LTE handover using an advanced SOM algorithm

Neil Sinclair, David A. Harle, Ian A. Glover, James M. Irvine, Robert C. Atkinson

Research output: Chapter in Book/Report/Conference proceeding › Chapter (peer-reviewed) › peer-review

13 Citations (Scopus)

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.

Original language	English
Title of host publication	2013 IEEE 77th Vehicular Technology Conference (VTC Spring)
Place of Publication	Piscataway, NJ, United States
Publisher	IEEE
Pages	1-6
Number of pages	6
ISBN (Print)	9781467363358
DOIs	https://doi.org/10.1109/VTCSpring.2013.6692692
Publication status	Published - 1 Jun 2013
Event	IEEE 77th Vehicular Technology Conference - Dresden, Germany Duration: 2 Jun 2013 → 5 Jun 2013

Conference

Conference	IEEE 77th Vehicular Technology Conference
Country/Territory	Germany
City	Dresden
Period	2/06/13 → 5/06/13

Keywords

LTE handover requests
advanced SOM algorithm
3G
handover failures
ping-pong handover occurrence
machine learning

Access to Document

10.1109/VTCSpring.2013.6692692

Cite this

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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. ",

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AU - Harle, David A.

AU - Glover, Ian A.

AU - Irvine, James M.

AU - Atkinson, Robert C.

PY - 2013/6/1

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N2 - 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.

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KW - advanced SOM algorithm

KW - 3G

KW - handover failures

KW - ping-pong handover occurrence

KW - machine learning

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ER -

Parameter optimization for LTE handover using an advanced SOM algorithm

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Keywords

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