Energy efficient hybrid satellite terrestrial 5G networks with software defined features

Zhang, J., Zhang, X., Imran, M. A. , Evans, B., Zhang, Y. and Wang, W. (2017) Energy efficient hybrid satellite terrestrial 5G networks with software defined features. Journal of Communications and Networks, 19(2), pp. 147-161. (doi:10.1109/JCN.2017.000024)

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Abstract

In order to improve the manageability and adaptability of future 5G wireless networks, the software orchestration mechanism, named software defined networking (SDN) with Control and User plane (C/U-plane) decoupling, has become one of the most promising key techniques. Based on these features, the hybrid satellite terrestrial network is expected to support flexible and customized resource scheduling for both massive machinetype- communication (MTC) and high-quality multimedia requests while achieving broader global coverage, larger capacity and lower power consumption. In this paper, an end-to-end hybrid satellite terrestrial network is proposed and the performance metrics, e. g., coverage probability, spectral and energy efficiency (SE and EE), are analysed in both sparse networks and ultra-dense networks. The fundamental relationship between SE and EE is investigated, considering the overhead costs, fronthaul of the gateway (GW), density of small cells (SCs) and multiple quality-ofservice (QoS) requirements. Numerical results show that compared with current LTE networks, the hybrid system with C/U split can achieve approximately 40% and 80% EE improvement in sparse and ultra-dense networks respectively, and greatly enhance the coverage. Various resource management schemes, bandwidth allocation methods, and on-off approaches are compared, and the applications of the satellite in future 5G networks with software defined features are proposed.

Item Type:Articles
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Imran, Professor Muhammad
Authors: Zhang, J., Zhang, X., Imran, M. A., Evans, B., Zhang, Y., and Wang, W.
College/School:College of Science and Engineering > School of Engineering > Systems Power and Energy
Journal Name:Journal of Communications and Networks
Publisher:Institute of Electrical and Electronics Engineers
ISSN:1229-2370
ISSN (Online):1229-2370
Published Online:05 May 2017
Copyright Holders:Copyright © 2016 IEEE
First Published:First published in Journal of Communications and Networks 19(2): 147-161
Publisher Policy:Reproduced in accordance with the copyright policy of the publisher

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