Energy Efficiency Analysis of Heterogeneous Cache-enabled 5G Hyper Cellular Networks

Zhang, J., Zhang, X., Imran, M. , Evans, B. and Wang, W. (2017) Energy Efficiency Analysis of Heterogeneous Cache-enabled 5G Hyper Cellular Networks. In: IEEE Globecom 2016, Washington, DC, USA, 04-08 Dec 2016, ISBN 9781509013289 (doi:10.1109/GLOCOM.2016.7841790)

132994.pdf - Accepted Version



The emerging 5G wireless networks will pose extreme requirements such as high throughput and low latency. Caching as a promising technology can effectively decrease latency and provide customized services based on group users behaviour (GUB). In this paper, we carry out the energy efficiency analysis in the cache-enabled hyper cellular networks (HCNs), where the macro cells and small cells (SCs) are deployed heterogeneously with the control and user plane (C/U) split. Benefiting from the assistance of macro cells, a novel access scheme is proposed according to both user interest and fairness of service, where the SCs can turn into semi- sleep mode. Expressions of coverage probability, throughput and energy efficiency (EE) are derived analytically as the functions of key parameters, including the cache ability, search radius and backhaul limitation. Numerical results show that the proposed scheme in HCNs can increase the network coverage probability by more than 200% compared with the single- tier networks. The network EE can be improved by 54% than the nearest access scheme, with larger research radius and higher SC cache capacity under lower traffic load. Our performance study provides insights into the efficient use of cache in the 5G software defined networking (SDN).

Item Type:Conference Proceedings
Glasgow Author(s) Enlighten ID:Imran, Professor Muhammad
Authors: Zhang, J., Zhang, X., Imran, M., Evans, B., and Wang, W.
College/School:College of Science and Engineering > School of Engineering
Copyright Holders:Copyright © 2017 IEEE
Publisher Policy:Reproduced in accordance with the copyright policy of the publisher

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