Title | Data Offloading in Ultra-dense LEO-based Integrated Terrestrial-Satellite Networks |
Authors | Di, Boya Zhang, Hongliang Song, Lingyang Li, Yonghui Li, Geoffrey Ye |
Affiliation | Peking 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 Date | 2018 |
Publisher | 2018 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM) |
Citation | 2018 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM). 2018. |
Abstract | In 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. |
URI | http://hdl.handle.net/20.500.11897/573869 |
ISSN | 2334-0983 |
DOI | 10.1109/GLOCOM.2018.8647954 |
Indexed | CPCI-S(ISTP) |
Appears in Collections: | 信息科学技术学院 |