• 综合
  • 标题
  • 关键词
  • 摘要
  • 学者
  • 期刊-刊名
  • 期刊-ISSN
  • 会议名称
搜索

作者:

Xu, Xiaobin (Xu, Xiaobin.) | Wang, Qi (Wang, Qi.) | Hou, Yanzhao (Hou, Yanzhao.) | Wang, Shangguang (Wang, Shangguang.)

收录:

EI Scopus SCIE

摘要:

Space-Terrestrial Integrated Networks (STINs) and ubiquitous artificial intelligence are considered as important infrastructures of 6G networks. Due to the long transmission distance and high moving speed of on-orbit satellites, STINs face the challenges of unreliable data transmission, untimely data processing, and low utilization of satellite resources. Tiansuan constellation implements the edge computing platform, which builds the foundation of edge intelligence for STINs. This article proposes a cloud-edge aggregated artificial intelligent architecture for STINs. With the assistance of Tiansuan constellation, an implementation strategy of the intelligent network architecture is proposed. Furthermore, three use cases are performed and discussed to achieve intelligent data transmission, intelligent remote sensing, and intelligent network slicing. Simulation results demonstrate that the proposed architecture can fully utilize the resource of STINs and improve the overall network throughput effectively.

关键词:

Satellites Artificial intelligence Terrestrial atmosphere Load management Computer architecture Simulation Intelligent networks Space communications Throughput Data communication Ubiquitous computing

作者机构:

  • [ 1 ] [Xu, Xiaobin]Beijing Univ Technol, Beijing, Peoples R China
  • [ 2 ] [Wang, Qi]Beijing Univ Technol, Beijing, Peoples R China
  • [ 3 ] [Hou, Yanzhao]Beijing Univ Posts & Telecommun, Beijing, Peoples R China
  • [ 4 ] [Wang, Shangguang]Beijing Univ Posts & Telecommun, Beijing, Peoples R China
  • [ 5 ] [Hou, Yanzhao]Peng Cheng Lab, Shenzhen, Peoples R China

通讯作者信息:

电子邮件地址:

查看成果更多字段

相关关键词:

相关文章:

来源 :

IEEE NETWORK

ISSN: 0890-8044

年份: 2023

期: 2

卷: 37

页码: 22-28

9 . 3 0 0

JCR@2022

被引次数:

WoS核心集被引频次:

SCOPUS被引频次: 5

ESI高被引论文在榜: 0 展开所有

万方被引频次:

中文被引频次:

近30日浏览量: 0

归属院系:

在线人数/总访问数:446/4968696
地址:北京工业大学图书馆(北京市朝阳区平乐园100号 邮编:100124) 联系我们:010-67392185
版权所有:北京工业大学图书馆 站点建设与维护:北京爱琴海乐之技术有限公司