Multiplexing eMBB and URLLC in Wireless Powered Communication Networks: A Deep Reinforcement Learning-Based Approach-Reference-Cited by-同舟云学术

Multiplexing eMBB and URLLC in Wireless Powered Communication Networks: A Deep Reinforcement Learning-Based Approach

Author:

Jiang Xiaotian¹^ORCID,Liang Kai¹^ORCID,Chu Xiaoli²^ORCID,Li Cheng³,Karagiannidis George K.⁴^ORCID

Affiliation:

1. School of Telecommunications Engineering, Xidian University, Xi’an, China

2. Department of Electronic and Electrical Engineering, The University of Sheffield, Sheffield, U.K

3. Department of System Engineering Division, Xi’an Aerospace Precision Electromechanical Institute, Xi’an, China

4. Department of Electrical and Computer Engineering, Aristotle University of Thessaloniki, Thessaloniki, Greece

Funder

National Key Research and Development Program of China

Fundamental Research Funds for the Central Universities

National Natural Science Foundation of China

European Commission’s Horizon 2020 Research and Innovation Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Control and Systems Engineering

Link

Reference12 articles.

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