Turkmen, A., Ansari, S. , Valente Klaine, P. , Zhang, L. and Imran, M. A. (2021) IMPRESS: indoor mobility prediction framework for pre-emptive indoor-outdoor handover for mmwave networks. IEEE Open Journal of the Communications Society, 2, pp. 2714-2724. (doi: 10.1109/OJCOMS.2021.3133543)
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Abstract
Millimeter-wave (mmWave) communication, the main success behind the fifth generation of mobile communication networks, will increase the ultra-dense small cell deployment under its limited coverage characteristics. Therefore, providing a seamless connection to its users, to whom transitioning between indoor and outdoor in a heterogeneous network environment particularly is a significant issue that needs to be addressed. In this paper, we present a two-fold contribution with a comprehensive study on mm-wave handovers. A user-based indoor mobility prediction via Markov chain with an initial transition matrix is proposed in the first step. Based on this acquired knowledge of the user’s movement pattern in the indoor environment, we present a pre-emptive handover algorithm in the second step. This algorithm aims to keep the QoS high for indoor users when transitioning between indoor and outdoor in a heterogeneous network environment. The proposed algorithm shows a reduction in the handover signalling cost by more than 50%, outperforming conventional handover algorithms.
| Item Type: | Articles |
|---|---|
| Additional Information: | This work was partially supported by EPSRC Resource Orchestration for Diverse Radio Systems (REORDER) Project under Grant EP/S02476X/1. The first author was supported by the Republic of Turkey Ministry of National Education (MoNE-1416/YLSY). |
| Status: | Published |
| Refereed: | Yes |
| Glasgow Author(s) Enlighten ID: | Turkmen, Aysenur and Zhang, Professor Lei and Valente Klaine, Mr Paulo and Ansari, Dr Shuja and Imran, Professor Muhammad |
| Authors: | Turkmen, A., Ansari, S., Valente Klaine, P., Zhang, L., and Imran, M. A. |
| College/School: | College of Science and Engineering > School of Engineering > Autonomous Systems and Connectivity College of Science and Engineering > School of Engineering > Systems Power and Energy |
| Journal Name: | IEEE Open Journal of the Communications Society |
| Publisher: | IEEE |
| ISSN: | 2644-125X |
| ISSN (Online): | 2644-125X |
| Published Online: | 08 December 2021 |
| Copyright Holders: | Copyright © 2021 The Authors |
| First Published: | First published in IEEE Open Journal of the Communications Society 2: 2714-2724 |
| Publisher Policy: | Reproduced under a Creative Commons License |
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