Frequency-Dependent DPD linearization for load-mismatched mobile terminal PAs operating under dynamic resource block allocation

This paper presents a novel linearization method to compensate for load-mismatched power amplifiers in 5G new radio mobile terminals. The proposed digital predistortion (DPD) approach is based on a frequency-dependent memoryless polynomial behavioral model that allows meeting the linearity specifications under dynamic resource block (RB) allocation when considering narrowband signals. The advantage of the proposed frequency-dependent method is experimentally validated by comparing it with a classical DPD approach where the coefficients are trained only for a specific RB location.
This project was funded by Huawei Technologies from July 2021 to August 2022; and supported in part by the Ministerio de Ciencia e Innovación and FEDER under Grant PID2020-113832RB-C21 and in part by the Government of Catalonia and the European Social Fund under Grant 2021-FI-B-137.
Peer Reviewed
Postprint (author's final draft)