Learning the Long-term Memory Effect of Power Amplifiers Using Temporal Convolutional Network-Reference-Cited by-同舟云学术

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Learning the Long-term Memory Effect of Power Amplifiers Using Temporal Convolutional Network

Published:2023-10-10 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 98th Vehicular Technology Conference (VTC2023-Fall)
language:
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Author:

Akram Iqra¹,Ma Yi¹,He Ziming²,Tong Fei²

Affiliation:

1. University of Surrey,5G and 6G Innovation Centre Institute for Communication Systems,U.K.,GU2 7XH

2. Samsung Electronics,Samsung Cambridge Solution Centre, System LSI,Cambridge,U.K.,CB4 0DS

Funder

Samsung

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10333258/10333344/10333622.pdf?arnumber=10333622

Reference16 articles.

1. A Generalized Memory Polynomial Model for Digital Predistortion of RF Power Amplifiers

2. Time-Delay/Advance Neural Networks Based Digital Predistorters: Enabling High Efficiency and High Throughput Transmitter

3. Deep Neural Network-Based Digital Predistorter for Doherty Power Amplifiers

4. Residual RNN Models With Pruning for Digital Predistortion of RF Power Amplifiers

5. Dynamic Behavioral Modeling of 3G Power Amplifiers Using Real-Valued Time-Delay Neural Networks

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