Research on Energy Efficiency Optimization of IRS-NOMA Wireless Communication System Based on Deep Reinforcement Learning-Reference-Cited by-同舟云学术

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Research on Energy Efficiency Optimization of IRS-NOMA Wireless Communication System Based on Deep Reinforcement Learning

Published:2024-05-24 Issue: Volume: Page:730-734
ISSN:
Container-title:2024 IEEE 4th International Conference on Electronic Technology, Communication and Information (ICETCI)
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Author:

Liu Jinyu¹,Shen Yangguang²,Wu Tao³,Li Liwei⁴

Affiliation:

1. Shandong University of Science and Technology,Department of Electrical Information,Jinan,China

2. Jiangsu University,School of Electrical and Information Engineering,Zhenjiang,China

3. Xi'an University of Posts and Telecommunications,School of Electronic Information Engineering,Xi’an,China

4. University College London,London,UK

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10593799/10594004/10594254.pdf?arnumber=10594254

Reference10 articles.

1. Cost optimization of UAV-MEC network calculation offloading: A multi-agent reinforcement learning method

2. IRS-enabled NOMA communication systems: A network architecture primer with future trends and challenges

3. Cross-modal communication technology: A survey

4. Deep reinforcement learning in smart manufacturing: A review and prospects

5. A deep reinforcement learning for energy efficient resource allocation Intelligent Reflecting Surface (IRS) driven Non-Orthogonal Multiple Access Beamforming (NOMA-BF)

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