.png){kind=icon}
返回
Collaborative Satellite-Terrestrial Edge Computing Network for Everyone-Centric Customized Services
.png){kind=icon}
PRE
AI
DOI：10.1109/MNET.131.2200375.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
The collaborative Satellite-Terrestrial network plays an important role in the future 6G mobile communication network, which can realize the global ubiquitous connection and support everyone-centric customized services. Taking into account the multi-layer heterogeneity of the Satellite-Terrestrial network, Mobile Edge Computing (MEC) technology can provide users with support for various data business computing services. Most of the existing satellite edge computing regards satellites as relay networks and neglects the deployment of MEC servers on satellites. We first propose a collaborative Satellite-Terrestrial edge computing network that deploys edge servers on LEO satellites. Then, we introduce the collaborative Satellite-Terrestrial network architecture and design a central-edge multi-agent collaboration model. Furthermore, it integrates SDN and NFV to achieve optimal control for the collaborative network. Finally, extensive simulations show that the proposed strategy that jointly tasks offloading and resource allocation can achieve higher performance with low complexity.
Keyword:
Satellite communications
Collaboration
Edge computing
Low earth orbit satellites
Task analysis
Cloud computing
Energy consumption
Space-air-ground integrated networks
Terrestrial communications
期刊
IF:
6.3
论文数:
2.7K
被引数:
1.1W
机构
引用论文
Computing over Space-Air-Ground Integrated Networks: Challenges and Opportunities空间-空中-地面综合网络上的计算: 挑战与机遇.png)
IEEE NETWORK
IEEE NETWORKIF6.3
PREAI
分享收藏
Computation Offloading in LEO Satellite Networks With Hybrid Cloud and Edge Computing混合云和边缘计算在LEO卫星网络中的计算卸载
PREAI
分享收藏Space/Aerial-Assisted Computing Offloading for IoT Applications: A Learning-Based Approach面向物联网应用的空间/空中辅助计算卸载: 一种基于学习的方法
PREAI
分享收藏
查看更多内容