Co-Design of Control, Computation, and Network Scheduling Based on Reinforcement Learning-Reference-Cited by-同舟云学术

Co-Design of Control, Computation, and Network Scheduling Based on Reinforcement Learning

Published:2024-02-01 Issue:3 Volume:11 Page:5249-5258
ISSN:2327-4662
Container-title:IEEE Internet of Things Journal
language:
Short-container-title:IEEE Internet Things J.

Author:

Liu Yuqi¹^ORCID,Zeng Peng²^ORCID,Cui Jinghan³^ORCID,Xia Changqing¹^ORCID

Affiliation:

1. Key Laboratory of Networked Control Systems and Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China

2. State Key Laboratory of Robotics, Shenyang Institute of AutomationKey Laboratory of Networked Control Systems, Chinese Academy of Sciences, Shenyang, China

3. College of Communication Engineering, Jilin University, Changchun, China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Natural Science Foundation of Liaoning Province

Youth Innovation Promotion Association CAS

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

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

Link

http://xplorestaging.ieee.org/ielx7/6488907/10413935/10220202.pdf?arnumber=10220202

Reference22 articles.

1. Reinforcement Learning-Based Control and Networking Co-Design for Industrial Internet of Things

2. Integrated Computation, Communication and Control: Towards Next Revolution in Information Technology

3. Anytime Computation and Control for Autonomous Systems

4. Optimal Task Allocation and Coding Design for Secure Edge Computing with Heterogeneous Edge Devices

5. Distributed Computation Offloading using Deep Reinforcement Learning in Internet of Vehicles