Introducing a Novel Minimum Accuracy Concept for Predictive Mobility Management Schemes

Ozturk, M., Valente Klaine, P. and Imran, M. A. (2018) Introducing a Novel Minimum Accuracy Concept for Predictive Mobility Management Schemes. In: IEEE International Conference on Communications (ICC 2018), Kansas City, MO, USA, 20-24 May 2018, ISBN 9781538643280 (doi: 10.1109/ICCW.2018.8403507)

158245.pdf - Accepted Version



In this paper, an analytical model for the minimum required accuracy for predictive methods is derived in terms of both handover (HO) delay and HO signaling cost. After that, the total HO delay and signaling costs are derived for the worst-case scenario (when the predictive process has the same performance as the conventional one), and simulations are conducted using a cellular environment to reveal the importance of the proposed minimum accuracy framework. In addition to this, three different predictors; Markov Chains, Artificial Neural Network (ANN) and an Improved ANN (IANN) are implemented and compared. The results indicate that under certain circumstances, the predictors can occasionally fall below the applicable level. Therefore, the proposed concept of minimum accuracy plays a vital role in determining this corresponding threshold.

Item Type:Conference Proceedings
Glasgow Author(s) Enlighten ID:Imran, Professor Muhammad and Öztürk, Metin and Valente Klaine, Mr Paulo
Authors: Ozturk, M., Valente Klaine, P., and Imran, M. A.
College/School:College of Science and Engineering > School of Engineering > Systems Power and Energy
Copyright Holders:Copyright © 2018 IEEE
Publisher Policy:Reproduced in accordance with the copyright policy of the publisher
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