Deep Reinforcement Learning for Privacy-Preserving Task Offloading in Integrated Satellite-Terrestrial Networks-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Deep Reinforcement Learning for Privacy-Preserving Task Offloading in Integrated Satellite-Terrestrial Networks

Published:2024-10 Issue:10 Volume:23 Page:9678-9691
ISSN:1536-1233
Container-title:IEEE Transactions on Mobile Computing
language:
Short-container-title:IEEE Trans. on Mobile Comput.

Author:

Lan Wenjun¹^ORCID,Chen Kongyang¹^ORCID,Li Yikai¹^ORCID,Cao Jiannong²^ORCID,Sahni Yuvraj³^ORCID

Affiliation:

1. Institute of Artificial Intelligence, Guangzhou University, Guangzhou, China

2. Department of Computing, The Hong Kong Polytechnic University, Hong Kong, China

3. Department of Building Environment and Energy Engineering, The Hong Kong Polytechnic University, Hong Kong, China

Funder

National Natural Science Foundation of China

Research Project of Pazhou Lab for Excellent Young Scholars

Guangzhou Basic and Applied Basic Research Foundation

Natural Science Foundation of Guangdong Province

Guangzhou Research Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/7755/10663873/10439625.pdf?arnumber=10439625

Reference51 articles.

1. Towards 6G wireless communication networks: vision, enabling technologies, and new paradigm shifts

2. Non-Terrestrial Networks in the 6G Era: Challenges and Opportunities

3. System integration of terrestrial mobile communication and satellite communication —the trends, challenges and key technologies in B5G and 6G

4. Integrated Satellite-Terrestrial Networks Toward 6G: Architectures, Applications, and Challenges

5. Laser Intersatellite Links in a Starlink Constellation: A Classification and Analysis

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. EdgeStreaming: Secure Computation Intelligence in Distributed Edge Networks for Streaming Analytics;ACM Transactions on Multimedia Computing, Communications, and Applications;2024-08-02

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3