Green Hybrid Satellite Terrestrial Networks: Fundamental Trade-Off Analysis

Zhang, J., Evans, B., Imran, M. A. , Zhang, X. and Wang, W. (2016) Green Hybrid Satellite Terrestrial Networks: Fundamental Trade-Off Analysis. In: 2016 IEEE 83rd Vehicular Technology Conference (VTC Spring), Nanjing, China, 15-18 May 2016, ISBN 9781509016983 (doi:10.1109/VTCSpring.2016.7504264)

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Abstract

With the worldwide evolution of 4G generation and revolution in the information and communications technology(ICT) field to meet the exponential increase of mobile data traffic in the 2020 era, the hybrid satellite and terrestrial network based on the soft defined features is proposed from a perspective of 5G. In this paper, an end-to-end architecture of hybrid satellite and terrestrial network under the control and user Plane (C/U) split concept is studied and the performances are analysed based on stochastic geometry. The relationship between spectral efficiency (SE) and energy efficiency (EE) is investigated, taking consideration of overhead costs, transmission and circuit power, backhaul of gateway (GW), and density of small cells. Numerical results show that, by optimizing the key parameters, the hybrid satellite and terrestrial network can achieve nearly 90% EE gain with only 3% SE loss in relative dense networks, and achieve both higher EE and SE gain (20% and 5% respectively) in sparse networks toward the future 5G green communication networks.

Item Type:Conference Proceedings
Additional Information:This work is supported by National 973 Program under grant 2012CB316005, the National Science Foundation of China (NSFC) under grant 61372114, the Fundamental Research Funds for the Central Universities under grant 2014ZD03-01, the New Star in Science and Technology of Beijing Municipal Science & Technology Commission (Beijing Nova Program: Z151100000315077), the Beijing Higher Education Young Elite Teacher Project under grant YETP0434, and the China Scholarship Council.
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Imran, Professor Muhammad
Authors: Zhang, J., Evans, B., Imran, M. A., Zhang, X., and Wang, W.
College/School:College of Science and Engineering > School of Engineering
ISBN:9781509016983
Copyright Holders:Copyright © 2016 IEEE
First Published:First published in 2016 IEEE 83rd Vehicular Technology Conference (VTC Spring)
Publisher Policy:Reproduced in accordance with the publisher copyright policy

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