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 proceedingChapter (peer-reviewed)peer-review

13 Citations (Scopus)


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 languageEnglish
Title of host publication2013 IEEE 77th Vehicular Technology Conference (VTC Spring)
Place of PublicationPiscataway, NJ, United States
Number of pages6
ISBN (Print)9781467363358
Publication statusPublished - 1 Jun 2013
EventIEEE 77th Vehicular Technology Conference - Dresden, Germany
Duration: 2 Jun 20135 Jun 2013


ConferenceIEEE 77th Vehicular Technology Conference


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


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