A novel mobility prediction algorithm based on user movement history in wireless networks

Abstract

For an efficient resource reservation, mobility prediction has been reported as an effective means to decrease call dropping probability and to shorten handoff latency in wireless cellular networks. Several early-proposed handoff algorithms making use of a user's movement history on a cell-by-cell basis work on the assumption that the user's movement is restricted to the indoor locations such as an office or a building. These algorithms do not present a good performance in a micro-cell structure or a metropolis with complicated structure of roads. To overcome this drawback, we propose a new mobility prediction algorithm, which stores and uses the history of the user's positions within the current cell to predict the next cell. © Springer-Verlag Berlin Heidelberg 2005.