Reinforcement-Learning-Based Overhead Reduction for Online Fountain Codes With Limited Feedback-Reference-Cited by-同舟云学术

Reinforcement-Learning-Based Overhead Reduction for Online Fountain Codes With Limited Feedback

Author:

Qin Zijun¹^ORCID,Fei Zesong¹^ORCID,Huang Jingxuan¹^ORCID,Wang Yeliang²^ORCID,Xiao Ming³^ORCID,Yuan Jinhong⁴^ORCID

Affiliation:

1. School of Information and Electronics, Beijing Institute of Technology, Beijing, China

2. School of Integrated Circuits and Electronics, Beijing Institute of Technology, Beijing, China

3. School of Electrical Engineering and Computer Science, KTH Royal Institute of Technology, Stockholm, Sweden

4. School of Electrical Engineering and Telecommunications, University of New South Wales, Sydney, NSW, Australia

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Natural Science Foundation on Frontier Leading Technology Basic Research Project of Jiangsu

Swedish Research Council Project entitled “Coding for Large-scale Distributed Machine Learning”

SCION (Secured and Intelligent Massive Machine-to-Machine Communication for 6G), and ASCENT

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering

Link

Reference31 articles.

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