A New Frontier for Power Amplifier enabled by Machine Learning


This article focuses on the recent studies of introducing machine learning techniques for radio frequency power amplifiers online operational conditions optimization, primarily at sub6GHz frequency of 5G. We report two demonstrators of advanced power amplifier architecture designed with cutting edge 0.15um-gallium nitride (GaN) HEMT technology, namely: a digital Doherty power amplifier (DDPA) and a novel digitally assisted ultra-wideband mixed mode dual-input power amplifier based on frequency-periodic load modulation (FPLM). For both applications, compact data-driven ML techniques have been applied to boost power amplifiers performance significantly. It is attempted to bring another approach for RF engineers for dealing with sophisticated power amplifiers design and operating tasks.


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    •  NEWS   MERL and Mitsubishi Electric U.S. participating in International Microwave Symposium Week 2021
      Date: June 18, 2021
      MERL Contacts: Mouhacine Benosman; Rui Ma
      Research Areas: Electronic and Photonic Devices, Machine Learning, Signal Processing
      • During the 2021 International Microwave Symposium Week (June 20-25), Rui Ma will give an invited talk on MERL's recent power amplifiers research at an IMS Technical Workshop to be held on June 21st, titled "From Digital to Intelligent: Advancement of MISO Power Amplifiers by Machine Learning".

        IMS is the annual flagship conference of IEEE MTT-S (Microwave Theory and Techniques Society) and the centerpiece of Microwave Week. It is the largest gathering of RF/Microwave professionals in the world and combines multiple technical conferences with the biggest commercial exhibitions for the microwave industry.

        Mitsubishi Electric U.S. (MEUS) will also host an online interactive booth to showcase our latest high-frequency Semiconductor & Device products at IMS week.

        More detailed information can be found at the Mitsubishi Electric booth.