Mobility Prediction for Handover Management in Cellular Networks with Control/Data Separation

Mohamed, A., Onireti, O. , Hoseinitabatabaei, S. A., Imran, M. , Imran, A. and Tafazolli, R. (2015) Mobility Prediction for Handover Management in Cellular Networks with Control/Data Separation. In: 2015 IEEE International Conference on Communications (ICC), London, UK, 08-12 Jun 2015, pp. 3939-3944. ISBN 9781467364324 (doi: 10.1109/ICC.2015.7248939)

Abstract

In research community, a new radio access network architecture with a logical separation between control plane (CP) and data plane (DP) has been proposed for future cellular systems. It aims to overcome limitations of the conventional architecture by providing high data rate services under the umbrella of a coverage layer in a dual connection mode. This configuration could provide significant savings in signalling overhead. In particular, mobility robustness with minimal handover (HO) signalling is considered as one of the most promising benefits of this architecture. However, the DP mobility remains an issue that needs to be investigated. We consider predictive DP HO management as a solution that could minimise the out-of-band signalling related to the HO procedure. Thus we propose a mobility prediction scheme based on Markov Chains. The developed model predicts the user's trajectory in terms of a HO sequence in order to minimise the interruption time and the associated signalling when the HO is triggered. Depending on the prediction accuracy, numerical results show that the predictive HO management strategy could significantly reduce the signalling cost as compared with the conventional non-predictive mechanism.

• Item Type: Conference Proceedings
• Additional Information: This work was made possible by NPRP grant No. 5-1047- 2437 from the Qatar National Research Fund (a member of The Qatar Foundation).
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Imran, Professor Muhammad and Onireti, Oluwakayode
• Authors: Mohamed, A., Onireti, O., Hoseinitabatabaei, S. A., Imran, M., Imran, A., and Tafazolli, R.
• College/School: College of Science and Engineering > School of Engineering; College of Science and Engineering > School of Engineering > Electronics and Nanoscale Engineering
• ISSN: 1550-3607
• ISBN: 9781467364324
• Copyright Holders: Copyright © 2015 IEEE
• First Published: First published in 2015 IEEE International Conference on Communications (ICC): 3939-3944
• Publisher Policy: Reproduced in accordance with the publisher copyright policy