MP-DPD: Low-Complexity Mixed-Precision Neural Networks for Energy-Efficient Digital Predistortion of Wideband Power Amplifiers

Wu, Yizhuo; Li, Ang; Beikmirza, Mohammadreza; Deep Singh, Gagan; Chen, Qinyu; de Vreede, L.C.N.; S. Alavi, Morteza; Gao, Chang

doi:10.1109/lmwt.2024.3386330

Public

MP-DPD: Low-Complexity Mixed-Precision Neural Networks for Energy-Efficient Digital Predistortion of Wideband Power Amplifiers

Shared by NobleBlocks on Apr 17, 2024 • 12:00 AM UTC

Authors:

Yizhuo Wu

Ang Li

Mohammadreza Beikmirza

Abstract

Digital predistortion (DPD) enhances signal quality in wideband radio frequency (RF) power amplifiers (PAs). As signal bandwidths expand in modern radio systems, DPD’s energy consumption increasingly impacts overall system efficiency. Deep neural networks (DNNs) offer promising advancements in DPD, ...

Subject

Predistortion

Computer science

Amplifier

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