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Towards Optimized Network Capacity in Emerging Integrated Terrestrial-Satellite Networks

Gong, Shulei, Shen, Hong, Zhao, Kanglian, Li, Wenfeng, Zhou, Haibo, Wang, Ruhai, Sun, Zhili and Zhang, Xinggan (2019) Towards Optimized Network Capacity in Emerging Integrated Terrestrial-Satellite Networks IEEE Xplore.

Towards Optimized Network Capacity in Emerging Integrated Terrestrial-Satellite Networks.pdf - Accepted version Manuscript

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In this paper, we investigate the transmission schemes of space data systems for optimized network capacity in an integrated terrestrial-satellite network (ITSN) with a twolayered space segment. First, a theoretical model of the network capacity is developed to evaluate the strategy of utilizing both direct and relayed transmissions. Second, we consider the ideal and the resource-constrained scenarios in which the corresponding network capacity is modeled with respect to the scheduling scheme. In particular, closed form and semi-closed form solutions to the difficult integer programs are achieved via rigorous mathematical analysis. The proposed model is general for exploring the capacity of various satellite network deployments whose solutions have not been obtained in prior studies. Furthermore, we verify the potential capacity of the different transmission schemes based on the proposed solutions and prove that the system’s network capacity can be significantly improved by the hybrid transmission scheme. The theoretical framework proposed in this paper is expected to provide constructive insights in the design for the future space segments of ITSN.

Item Type: Article
Divisions : Faculty of Engineering and Physical Sciences > Electronic Engineering
Authors :
Gong, Shulei
Shen, Hong
Zhao, Kanglian
Li, Wenfeng
Zhou, Haibo
Wang, Ruhai
Zhang, Xinggan
Date : 8 May 2019
DOI : 10.1109/TAES.2019.2915415
Uncontrolled Keywords : Satellite network capacity; Hybrid transmission; Scheduling optimization; Integer program
Depositing User : Clive Harris
Date Deposited : 21 May 2019 07:42
Last Modified : 21 May 2019 07:42

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