Predictive Base Station Activation in Futuristic Energy-Efficient Control/Data Separated RAN

Mohamed, A., Oniretiy, O., Imran, M. , Pervaiz, H., Xiao, P. and Tafazolli, R. (2018) Predictive Base Station Activation in Futuristic Energy-Efficient Control/Data Separated RAN. In: IEEE GLOBECOM 2017, Singapore, 4-8 Dec 2017, ISBN 9781538639207 (doi: 10.1109/GLOCOMW.2017.8269173)

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Nowadays, system architecture of the fifth generation (5G) cellular system is becoming of increasing interest. To reach the ambitious 5G targets, a dense base station (BS) deployment paradigm is being considered. In this case, the conventional always-on service approach may not be suitable due to the linear energy/density relationship when the BSs are always kept on. This suggests a dynamic on/off BS operation to reduce the energy consumption. However, this approach may create coverage holes and the BS activation delay in terms of hardware transition latency and software reloading could result in service disruption. To tackle these issues, we propose a predictive BS activation scheme under the control/data separation architecture (CDSA). The proposed scheme exploits user context information, network parameters, BS sleep depth and measurement databases to send timely predictive activation requests in advance before the connection is switched to the sleeping BS. An analytical model is developed and closed-form expressions are provided for the predictive activation criteria. Analytical and simulation results show that the proposed scheme achieves a high BS activation accuracy with low errors w.r.t. the optimum activation time.

Item Type:Conference Proceedings
Glasgow Author(s) Enlighten ID:Imran, Professor Muhammad
Authors: Mohamed, A., Oniretiy, O., Imran, M., Pervaiz, H., Xiao, P., and Tafazolli, R.
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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