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Classifying Users Based on Their Mobility Behaviour in LTE Networks

Authors:
Bart Sas
Kathleen Spaey
Chris Blondia

Keywords: High Mobility; Dynamic Time Warping; Traffic Steering; Handover; LTE

Abstract:
When, in cellular networks like Long Term Evolution (LTE), there is a dense deployment of cells and/or users move at high velocities, handovers will occur frequently. This will have a severe impact on the Quality-of-Service (QoS) experienced by the users as there will be frequent call drops and a low throughput due to a service interruption time that is relatively long compared to the cell stay time. In order to mitigate these problems, users that experience a so called high mobility should be steered appropriately (e.g., to a cell on which they can be camped for a longer time). The first prerequisite for steering users that experience high mobility is identifying these users and predicting their future behaviour. In this paper, we present an algorithm that identifies users that follow similar trajectories through a cell. To perform this identification, a modified version of the Dynamic Time Warping (DTW) algorithm is used. Results show that the developed algorithm is able to detect users which follow similar trajectories adequately and is also able to distinguish between users that follow different trajectories through a cell.

Pages: 198 to 205

Copyright: Copyright (c) IARIA, 2014

Publication date: June 22, 2014

Published in: conference

ISSN: 2308-4219

ISBN: 978-1-61208-347-6

Location: Seville, Spain

Dates: from June 22, 2014 to June 26, 2014