RF Canceller Tuning Acceleration Using Neural Network Machine Learning for In-Band Full-Duplex Systems-Reference-Cited by-同舟云学术

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RF Canceller Tuning Acceleration Using Neural Network Machine Learning for In-Band Full-Duplex Systems

Published:2021 Issue: Volume:2 Page:1158-1170
ISSN:2644-125X
Container-title:IEEE Open Journal of the Communications Society
language:
Short-container-title:IEEE Open J. Commun. Soc.

Author:

Kolodziej Kenneth E.^ORCID,Cookson Aidan U.,Perry Bradley T.^ORCID

Funder

United States Air Force through Air Force

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Medicine

Link

http://xplorestaging.ieee.org/ielx7/8782661/9309127/09431091.pdf?arnumber=9431091

Cited by 17 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. Subband Full-Duplex Large-Scale Deployed Network Designs and Tradeoffs;Proceedings of the IEEE;2024-05

2. In-Band Full-Duplex: The Physical Layer;Proceedings of the IEEE;2024-05

3. Machine Learning-Based Self-Interference Cancellation for Full-Duplex Radio: Approaches, Open Challenges, and Future Research Directions;IEEE Open Journal of Vehicular Technology;2024

4. Augmented Envelope Neural Networks on RF-SoC for Digital Self-Interference Cancellation;IEEE Access;2024

5. Deep Unfolding-Powered Analog Beamforming for In-Band Full-Duplex;IEEE Open Journal of the Communications Society;2024

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