Two-Timescale Learning-Based Task Offloading for Remote IoT in Integrated Satellite–Terrestrial Networks-Reference-Cited by-同舟云学术

Two-Timescale Learning-Based Task Offloading for Remote IoT in Integrated Satellite–Terrestrial Networks

Author:

Han Dairu¹^ORCID,Ye Qiang²^ORCID,Peng Haixia³^ORCID,Wu Wen⁴^ORCID,Wu Huaqing⁵^ORCID,Liao Wenhe¹,Shen Xuemin⁶^ORCID

Affiliation:

1. Department of Aeronautical and Astronautical Engineering, Nanjing University of Science and Technology, Nanjing, China

2. Department of Computer Science, Memorial University of Newfoundland, St. John’s, Canada

3. School of Information and Communication Engineering, Xi’an JiaoTong University, Xi’an, China

4. Frontier Research Center, Peng Cheng Laboratory, Shenzhen, China

5. Department of Electrical and Software Engineering, University of Calgary, Calgary, Canada

6. Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, Canada

Funder

Major Key Project of the Peng Cheng Laboratory

National Natural Science Foundation of China

Natural Sciences and Engineering Research Council of Canada

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Computer Science Applications,Hardware and Architecture,Information Systems,Signal Processing

Link

Reference40 articles.

4. Proximal policy optimization algorithms;schulman;arXiv preprint arXiv 1707 06347,2017

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