Machine Learning Enables Radio Resource Allocation in the Downlink of Ultra-Low Latency Vehicular Networks-Reference-Cited by-同舟云学术

Machine Learning Enables Radio Resource Allocation in the Downlink of Ultra-Low Latency Vehicular Networks

Author:

Wang Xinyuan¹^ORCID,Wang Yingze¹^ORCID,Cui Qimei¹^ORCID,Chen Kwang-Cheng²^ORCID,Ni Wei³^ORCID

Affiliation:

1. National Engineering Laboratory for Mobile Network Technologies, Beijing University of Posts and Telecommunications, Beijing, China

2. Department of Electrical Engineering, University of South Florida, Tampa, FL, USA

3. Digital Productivity and Services Flagship, Commonwealth Scientific and Industrial Research Organization (CSIRO), Marsfield, NSW, Australia

Funder

National Natural Science Foundation of China

Joint Funds for Regional Innovation and Development of the National Natural Science Foundation of China

Ministry of Education-China Mobile Research Foundation

National Youth Top-notch Talent Support Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

Reference41 articles.

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