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Open Access research that is better understanding human-computer interaction...

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The Department of Computer & Information Sciences hosts The Mobiquitous Lab, which investigates user behaviour on mobile devices and emerging ubiquitous computing paradigms. The Strathclyde iSchool Research Group specialises in understanding how people search for information and explores interactive search tools that support their information seeking and retrieval tasks, this also includes research into information behaviour and engagement.

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Parameter optimization for LTE handover using an advanced SOM algorithm

Sinclair, Neil and Harle, David A. and Glover, Ian A. and Irvine, James M. and Atkinson, Robert C. (2013) Parameter optimization for LTE handover using an advanced SOM algorithm. In: 2013 IEEE 77th Vehicular Technology Conference (VTC Spring). IEEE, Piscataway, NJ, United States, pp. 1-6. ISBN 9781467363358

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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.