Application of discrete multicriteria optimization methods for the digital predistortion model design

Maslovskiy A.Y., Sumenkov O.Y., Vorkutov D.A., Chukanov S.V.
 pdf (1150K)

In this paper, we investigate different alternative ideas for the design of digital predistortion models for radiofrequency power amplifiers. When compared to the greedy search algorithm, these algorithms allow a faster identification of the model parameters combination while still performing reasonably well. For the subsequent implementation, different metrics of model costs and score results in the process of optimization enable us to achieve sparse selections of the model, which balance the model accuracy and model resources (according to the complexity of implementation). The results achieved in the process of simulations show that combinations obtained with explored algorithms show the best performance after a lower number of simulations.

Keywords: digital predistortion, multicriteria optimization, model design, RF PA
Citation in English: Maslovskiy A.Y., Sumenkov O.Y., Vorkutov D.A., Chukanov S.V. Application of discrete multicriteria optimization methods for the digital predistortion model design // Computer Research and Modeling, 2023, vol. 15, no. 2, pp. 281-300
Citation in English: Maslovskiy A.Y., Sumenkov O.Y., Vorkutov D.A., Chukanov S.V. Application of discrete multicriteria optimization methods for the digital predistortion model design // Computer Research and Modeling, 2023, vol. 15, no. 2, pp. 281-300
DOI: 10.20537/2076-7633-2023-15-2-281-300
URL: http://crm-en.ics.org.ru/journal/article/3316/
Creative Commons License This work is licensed under a Creative Commons Attribution-NoDerivs 3.0 Unported License.

Indexed in Scopus

Full-text version of the journal is also available on the web site of the scientific electronic library eLIBRARY.RU

The journal is included in the Russian Science Citation Index

The journal is included in the RSCI

International Interdisciplinary Conference "Mathematics. Computing. Education"

Copyright © 2009–2024 Institute of Computer Science