Edge-Assisted Spectrum Sharing for Freshness-Aware Industrial Wireless Networks: A Learning-Based Approach-Reference-Cited by-同舟云学术

Edge-Assisted Spectrum Sharing for Freshness-Aware Industrial Wireless Networks: A Learning-Based Approach

Author:

Li Mingyan¹^ORCID,Chen Cailian²^ORCID,Wu Huaqing³^ORCID,Guan Xinping²^ORCID,Shen Xuemin⁴^ORCID

Affiliation:

1. College of Computer Science, Chongqing University, Chongqing, China

2. Department of Automation, Shanghai Jiao Tong University, Shanghai, China

3. Department of Electrical and Computer Engineering, McMaster University, Hamilton, ON, Canada

4. Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ON, Canada

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Natural Sciences and Engineering Research Council of Canada

Chongqing Natural Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Electrical and Electronic Engineering,Computer Science Applications

Link

Reference47 articles.

3. Actor-attention-critic for multi-agent reinforcement learning;iqbal;Proc Int Conf Mach Learn (ICML),2019

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