Deep Reinforcement Learning Based Big Data Resource Management for 5G/6G Communications-Reference-Cited by-同舟云学术

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Deep Reinforcement Learning Based Big Data Resource Management for 5G/6G Communications

Published:2021-12 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE Global Communications Conference (GLOBECOM)
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Author:

Shi Zhaoyuan¹,Xie Xianzhong¹,Garg Sahil²,Lu Huabing¹,Yang Helin³,Xiong Zehui⁴

Affiliation:

1. School of Computer Science and Technology, Chongqing University of Posts and Telecommunications,Chongqing,China

2. Ecole de technologie supérieure, Université du Québec,Electrical Engineering Department,Montréal,Canada

3. School of Electrical and Electronic Engineering, Nanyang Technological University,50 Nanyang Avenue,Singapore

4. Pillar of Information Systems Technology and Design, Singapore University of Technology and Design,Singapore

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9685019/9685006/09685098.pdf?arnumber=9685098

Reference17 articles.

1. Deep Deterministic Policy Gradient (DDPG)-Based Energy Harvesting Wireless Communications

2. Learning-Based Computation Offloading for IoT Devices With Energy Harvesting

3. Joint EH Time and Transmit Power Optimization Based on DDPG for EH Communications

4. No-Pain No-Gain: DRL Assisted Optimization in Energy-Constrained CR-NOMA Networks

5. Outage Performance Analysis for the Advanced SIC Receiver in Wireless NOMA Systems

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Review of Recent Developments in 6G Communications Systems;RAiSE-2023;2024-01-17

2. Collaborative Energy-Efficient Routing Protocol for Sustainable Communication in 5G/6G Wireless Sensor Networks;IEEE Open Journal of the Communications Society;2023

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