Applications of Deep Learning Algorithms for RFEH, WPT and SWIPT Systems: A Review-Reference-Cited by-同舟云学术

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Applications of Deep Learning Algorithms for RFEH, WPT and SWIPT Systems: A Review

Published:2023-08-19 Issue: Volume: Page:
ISSN:
Container-title:2023 XXXVth General Assembly and Scientific Symposium of the International Union of Radio Science (URSI GASS)
language:
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Author:

Sarkar Debanjali¹,Kumar Anjani²,Khan Taimoor²,Rengarajan Sembiam R.³

Affiliation:

1. VIT-AP University,School of Electronics Engineering,Amaravati,India

2. National Institute of Technology,Department of Electronics and Communication Engineering,Silchar,India

3. California State University,Department of Electrical and Computer Engineering,Northridge,CA,USA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10265282/10265283/10265420.pdf?arnumber=10265420

Reference22 articles.

1. A Deep Learning-Based Approach to Power Minimization in Multi-Carrier NOMA With SWIPT

2. Average AoI Minimization in UAV-assisted Data Collection with RF Wireless Power Transfer: A Deep Reinforcement Learning Scheme

3. Deep Reinforcement Learning Online Offloading for SWIPT Multiple Access Edge Computing Network

4. A Secure-Transmission Maximization Scheme for SWIPT Systems Assisted by an Intelligent Reflecting Surface and Deep Learning

5. Deep Learning-Assisted Power Minimization in Underlay MISO-SWIPT Systems Based On Rate-Splitting Multiple Access

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