TY - GEN
T1 - Dynamically Adaptive Cooperation Transmission among Satellite-Ground Integrated Networks
AU - Tang, Feilong
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/7
Y1 - 2020/7
N2 - It is a desirable goal to fuse satellite and ground integrated networks (SGINs) to improve the resource utilization efficiency. However, existing work did not consider how to integrate them as a whole network because they lack of function-configurable network management and efficient cooperation among satellite and ground networks. In this paper, we firstly propose a SDN-based network architecture, where resources in SGINs are managed and scheduled in the layered and on-demand way. Then, we formulate the dynamical cooperation transmission in SGINs as an optimization problem and prove its NP hardness. Finally, to realize deeper-level resource fusion, we propose an efficient transmission approach DEEPER (aDaptive satEllitE-ground cooPerativE tRasmission) based on dynamical cooperation among satellite and ground networks, which is network-aware and workload-driven. Comprehensive experiment results demonstrate that our approach outperforms related schemes in terms of network throughput, end-to-end delay, transmission quality and load balancing.
AB - It is a desirable goal to fuse satellite and ground integrated networks (SGINs) to improve the resource utilization efficiency. However, existing work did not consider how to integrate them as a whole network because they lack of function-configurable network management and efficient cooperation among satellite and ground networks. In this paper, we firstly propose a SDN-based network architecture, where resources in SGINs are managed and scheduled in the layered and on-demand way. Then, we formulate the dynamical cooperation transmission in SGINs as an optimization problem and prove its NP hardness. Finally, to realize deeper-level resource fusion, we propose an efficient transmission approach DEEPER (aDaptive satEllitE-ground cooPerativE tRasmission) based on dynamical cooperation among satellite and ground networks, which is network-aware and workload-driven. Comprehensive experiment results demonstrate that our approach outperforms related schemes in terms of network throughput, end-to-end delay, transmission quality and load balancing.
UR - https://www.scopus.com/pages/publications/85090270050
U2 - 10.1109/INFOCOM41043.2020.9155485
DO - 10.1109/INFOCOM41043.2020.9155485
M3 - 会议稿件
AN - SCOPUS:85090270050
T3 - Proceedings - IEEE INFOCOM
SP - 1559
EP - 1568
BT - INFOCOM 2020 - IEEE Conference on Computer Communications
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 38th IEEE Conference on Computer Communications, INFOCOM 2020
Y2 - 6 July 2020 through 9 July 2020
ER -