Deep Reinforcement Learning on FPGA for Self-Healing Cryogenic Power Amplifier Control

Deep Reinforcement Learning on FPGA for Self-Healing Cryogenic Power Amplifier Control

Wireless sensing and communication for space exploration in areas inaccessible to human often suffer from severe performance degradation due to the cryogenic effects on the transmitters’ circuits. To survive extreme temperatures, programmable radio frequency (RF) power amplifiers (PA) can...

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Bibliographic Details
Main Authors: Jiachen Xu, Yuyi Shen, Jinho Yi, Ethan Chen, Vanessa Chen
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Open Journal of Circuits and Systems
Subjects:
Deep reinforcement learning
quantized neural networks
quantized training
fixed-point arithmetic
FPGA
power amplifier
Online Access:https://ieeexplore.ieee.org/document/10143969/

Internet

https://ieeexplore.ieee.org/document/10143969/

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