Distributed Reinforcement Learning for Age of Information Minimization in Real-Time IoT Systems-Reference-Cited by-同舟云学术

Distributed Reinforcement Learning for Age of Information Minimization in Real-Time IoT Systems

Author:

Wang Sihua¹^ORCID,Chen Mingzhe²^ORCID,Yang Zhaohui³^ORCID,Yin Changchuan⁴^ORCID,Saad Walid⁵^ORCID,Cui Shuguang⁶^ORCID,Poor H. Vincent²^ORCID

Affiliation:

1. State Key Laboratory of Networking and Switching Technology, China

2. Department of Electrical and Computer Engineering, Princeton University, Princeton, NJ, USA

3. Department of Electronic and Electrical Engineering, University College London, London, U.K.

4. Beijing Laboratory of Advanced Information Network, China

5. Wireless@VT, Bradley Department of Electrical and Computer Engineering, Virginia Tech, Arlington, VA, USA

6. School of Science and Engineering (SSE) and Future Network of Intelligence Institute (FNii), The Chinese University of Hong Kong, Shenzhen, China

Funder

Beijing Natural Science Foundation-Haidian Original Innovation Foundation

National Natural Science Foundation of China

Higher Education Discipline Innovation Project

National Key R&D Program of China

Hetao Shenzhen-HK S&T Cooperation Zone through Basic Research Project

Shenzhen Outstanding Talents Training Fund

Guangdong Research

Office of Naval Research

Multidisciplinary University Research Initiative

Engineering and Physical Sciences Research Council

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Signal Processing

Link

Reference30 articles.

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