Deep Neural Network based Minimum Length Scheduling in Wireless Powered Communication Networks-Reference-Cited by-同舟云学术

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Deep Neural Network based Minimum Length Scheduling in Wireless Powered Communication Networks

Published:2021-12 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE Globecom Workshops (GC Wkshps)
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Author:

Khan Nasir,Coleri Sinem

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9681915/9681831/09682169.pdf?arnumber=9682169

Reference21 articles.

1. Full-Duplex Operations in Wireless Powered Communication Networks

2. Minimum Length Scheduling for Full Duplex Time-Critical Wireless Powered Communication Networks

3. Model-Aided Wireless Artificial Intelligence: Embedding Expert Knowledge in Deep Neural Networks for Wireless System Optimization

4. Minimum Throughput Maximization for Multi-UAV Enabled WPCN: A Deep Reinforcement Learning Method

5. Exploiting a Deep Neural Network for Efficient Transmit Power Minimization in a Wireless Powered Communication Network

Cited by 1 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. Deep Learning based Minimum Length Scheduling for Half Duplex Wireless Powered Communication Networks;2022 IEEE 33rd Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC);2022-09-12

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