Continual Learning Digital Predistortion of RF Power Amplifier for 6G AI-Empowered Wireless Communication
Author:
Affiliation:
1. State Key Laboratory of Millimeter Waves, Southeast University, Nanjing, China
Funder
National Natural Science Foundation of China
Natural Science Foundation of Jiangsu Province
NSFC
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Condensed Matter Physics,Radiation
Link
http://xplorestaging.ieee.org/ielx7/22/9939118/09915288.pdf?arnumber=9915288
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1. A new Volterra predistorter based on the indirect learning architecture
2. A Robust Digital Baseband Predistorter Constructed Using Memory Polynomials
3. Overcoming catastrophic forgetting in neural networks;james;Proc Nat Acad Sci USA,2017
4. Universal Intelligence: A Definition of Machine Intelligence
5. A Comparative Analysis of the Complexity/Accuracy Tradeoff in Power Amplifier Behavioral Models
Cited by 2 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. High-Efficiency High-Linearity Power Amplification Technique by Digital-Assisted Injection-Control Matching for 6G Flexible Spectrum Applications;IEEE Transactions on Microwave Theory and Techniques;2023
2. Dynamic Activation Digital Predistortion of RF Power Amplifiers for 6G Dynamic Spectrum Aggregation Applications;IEEE Transactions on Microwave Theory and Techniques;2023
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