Dynamic Spectrum Access for D2D-Enabled Internet of Things: A Deep Reinforcement Learning Approach-Reference-Cited by-同舟云学术

Dynamic Spectrum Access for D2D-Enabled Internet of Things: A Deep Reinforcement Learning Approach

Author:

Huang Jingfei¹^ORCID,Yang Yang¹^ORCID,Gao Zhen²^ORCID,He Dazhong¹^ORCID,Ng Derrick Wing Kwan³^ORCID

Affiliation:

1. School of Artificial Intelligence and the Center for Data Science, Beijing University of Posts and Telecommunications, Beijing, China

2. National Mobile Communications Research Laboratory, Southeast University, Nanjing, China

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

Funder

Beijing Natural Science Foundation

National Natural Science Foundation of China

Guangxi Science and Technology Base and Talent Special Project

Open Research Fund of National Mobile Communications Research Laboratory, Southeast University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Computer Science Applications,Hardware and Architecture,Information Systems,Signal Processing

Link

Reference36 articles.

2. Study on LTE device to device proximity services; radio aspects, release 12,2014

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