Energy Minimization for IRS-Aided Wireless Powered Federated Learning Networks With NOMA-Reference-Cited by-同舟云学术

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Energy Minimization for IRS-Aided Wireless Powered Federated Learning Networks With NOMA

Published:2024-05-01 Issue:9 Volume:11 Page:16339-16350
ISSN:2327-4662
Container-title:IEEE Internet of Things Journal
language:
Short-container-title:IEEE Internet Things J.

Author:

Alishahi MohammadHossein¹^ORCID,Fortier Paul¹^ORCID,Zeng Ming¹^ORCID,Pham Quoc-Viet²^ORCID,Li Xingwang³^ORCID

Affiliation:

1. Department of Electric and Computer Engineering, Laval University, Quebec City, QC, Canada

2. School of Computer Science and Statistics, Trinity College Dublin, Dublin 2, Ireland

3. School of Physics and Electronic Information Engineering, Henan Polytechnic University, Jiaozuo, China

Funder

Natural Sciences and Engineering Research Council of Canada through its Discovery program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6488907/10508620/10400811.pdf?arnumber=10400811

Reference40 articles.

1. IEEE Access Special Section Editorial: Green Communications and Networking for 5G

2. Integrated wireless communications and wireless power transfer: An overview

3. Wirelessly Powered Federated Edge Learning: Optimal Tradeoffs Between Convergence and Power Transfer

4. Reliability and Security of CR-STAR-RIS-NOMA Assisted IoT Networks

5. Wireless Power Transfer—A Review

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