Adaptive Resource Allocation Considering Power-Consumption Outage: A Deep Reinforcement Learning Approach-Reference-Cited by-同舟云学术

Adaptive Resource Allocation Considering Power-Consumption Outage: A Deep Reinforcement Learning Approach

Published:2023-06 Issue:6 Volume:72 Page:8111-8116
ISSN:0018-9545
Container-title:IEEE Transactions on Vehicular Technology
language:
Short-container-title:IEEE Trans. Veh. Technol.

Author:

Luo Jia¹^ORCID,Chen Qianbin²^ORCID,Tang Lun²^ORCID,Zhang Zhicai³^ORCID,Li Yu⁴^ORCID

Affiliation:

1. School of Cyber Security and Information law and the School of Communication and Information Engineering, Chongqing University of Posts and Telecommunication, Chongqing, China

2. School of Communication and Information Engineering, Chongqing University of Posts and Telecommunication, Chongqing, China

3. School of Physics and Electronic Engineering, Shanxi University, Taiyuan, China

4. Chongqing Engineering Laboratory for Detection Control and Integrated System, Chongqing Technology and Business University, Chongqing, China

Funder

National Natural Science Foundation of China

Key Research and Development Program of Sichuan-Chongqing Joint Implementation

Natural Science Foundation of Chongqing

Science and Technology Research Program of Chongqing Municipal Education Commission

Fundamental Research Program of Shanxi Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Aerospace Engineering,Automotive Engineering

Link

http://xplorestaging.ieee.org/ielx7/25/10155543/10018502.pdf?arnumber=10018502

Reference12 articles.

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2. Echo-Liquid State Deep Learning for 360° Content Transmission and Caching in Wireless VR Networks With Cellular-Connected UAVs

3. Noisy networks for exploration;fortunato;Proc Int Conf Representation Learn,0

4. Offloading Optimization and Bottleneck Analysis for Mobile Cloud Computing

5. Power and Thermal Analysis of Commercial Mobile Platforms: Experiments and Case Studies

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