Mushini, Rahul and Dooley, John (2023) A Computationally Efficient Predistortion and Segment Thresholding for Distributed PA Arrays. 2023 21st IEEE Interregional NEWCAS Conference (NEWCAS). pp. 1-4. ISSN 2474-9672
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Abstract
Multipath MIMO systems have emerged, providing faster and more reliable wireless communications. These systems require distributed arrays of nonlinear power amplifiers, which in turn require novel digital predistortion solutions. In this paper the authors propose a novel technique called, variation in the slope, to reduce the computational overhead of multipath segmented DPD for distributed arrays of power amplifiers. Additionally the approach to calculate the threshold for the segments requires only the second derivative calculation of gain versus input power and thus avoids computationally expensive clustering techniques. This approach was validated using a 100MHz5G NR signal and a hybrid beam former module, resulting in an achieved −50dB ACLR on average. This value meets the spectral mask requirement for 5GFR2 standards. This method requires fewer training samples and DPD parameters compared to state-of-the-art techniques for multipath systems.
Item Type: | Article |
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Keywords: | Power Amplifier; Modeling; Digital Predistortion; mmWave; |
Academic Unit: | Faculty of Science and Engineering > Electronic Engineering Faculty of Science and Engineering > Research Institutes > Hamilton Institute |
Item ID: | 20522 |
Identification Number: | 10.1109/NEWCAS57931.2023.10198125 |
Depositing User: | Dr. John Dooley |
Date Deposited: | 02 Sep 2025 14:21 |
Journal or Publication Title: | 2023 21st IEEE Interregional NEWCAS Conference (NEWCAS) |
Publisher: | IEEE |
Refereed: | Yes |
Related URLs: | |
URI: | https://mural.maynoothuniversity.ie/id/eprint/20522 |
Use Licence: | This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here |
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