TitleData Offloading in Ultra-dense LEO-based Integrated Terrestrial-Satellite Networks
AuthorsDi, Boya
Zhang, Hongliang
Song, Lingyang
Li, Yonghui
Li, Geoffrey Ye
AffiliationPeking Univ, Sch Elect Engn & Comp Sci, Beijing, Peoples R China.
Univ Sydney, Sch Elect & Informat Engn, Sydney, NSW, Australia.
Georgia Inst Technol, Sch Elect & Comp Engn, Atlanta, GA 30332 USA.
Issue Date2018
Publisher2018 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM)
Citation2018 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM). 2018.
AbstractIn this paper, we propose a terrestrial-satellite network (TSN) architecture to integrate the ultra-dense low earth orbit (LEO) networks and the terrestrial networks for data offloading. In TSN, each user can access the network over C-band via a macro cell, a traditional small cell, or a LEO-backhauled small cell (LSC). Each LSC is scheduled to upload the received data via multiple satellites over Ka-band. We aim to maximize the sum data rate while satisfying the varying backhaul capacity constraints jointly determined by the LEO satellite based backhaul links. The optimization problem is then solved by our proposed matching algorithm. Simulation results show that the integrated network significantly outperforms the non-integrated one in terms of the sum data rate.
URIhttp://hdl.handle.net/20.500.11897/573869
ISSN2334-0983
DOI10.1109/GLOCOM.2018.8647954
IndexedCPCI-S(ISTP)
Appears in Collections:信息科学技术学院

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