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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/22541
Title: Augmented Convolutional Neural Network for Behavioral Modeling and Digital Predistortion of Concurrent Multiband Power Amplifiers
Authors: Jaraut P.
Abdelhafiz A.
Chenini H.
Hu X.
Helaoui M.
Rawat, Meenakshi
Chen W.
Boulejfen N.
Ghannouchi F.M.
Published in: IEEE Transactions on Microwave Theory and Techniques
Abstract: Neural network (NN)-based models are perceived as being accurate models for power amplifier (PA) behavioral modeling and digital predistortion (DPD) applications. However, the complexity of NN's models in terms of the number of coefficients increases with the memory depth, nonlinearity order, signal bandwidth, and the number of carriers. In this article, a novel augmented convolutional neural network (ACNN)-based DPD is proposed to linearize the concurrent multiband PAs. In the ACNN model, the convolution layer with a fully connected layer serves to model the intermodulation distortion (IMD), cross-modulation distortion (CMD), and nonlinearities of the concurrent multiband PA. The pooling layer in the ACNN reduces the model's complexity. The measurement results show that the proposed DPD requires significantly fewer coefficients and floating-point operations (FLOPs) than the state-of-the-art DPDs. This model's complexity reduction arises with the number of carriers in the multiband aggregated signal. The measurement results also show that the proposed DPD has a better linearization performance in terms of metrics, such as normalized mean square error (NMSE), adjacent channel power ratio (ACPR), and error vector magnitude (EVM). © 1963-2012 IEEE.
Citation: IEEE Transactions on Microwave Theory and Techniques, 69(9): 4142-4156
URI: https://doi.org/10.1109/TMTT.2021.3075689
http://repository.iitr.ac.in/handle/123456789/22541
Issue Date: 2021
Publisher: Institute of Electrical and Electronics Engineers Inc.
Keywords: Convolutional neural network (CNN)
Digital predistortion (DPD)
Intermodulation distortion (IMD)
Multiband transmitter
Power amplifier (PA) nonlinearity
ISSN: 189480
Author Scopus IDs: 57189043717
55894714300
55248287200
55523356300
8537514600
35339866500
57133278900
6603436989
7006217592
Author Affiliations: Jaraut, P., Department of Electrical and Computer Engineering, Intelligent RF Radio Laboratory, Schulich School of Engineering, University of Calgary, Calgary, AB T2N 1N4, Canada
Abdelhafiz, A., Department of Electrical and Computer Engineering, Intelligent RF Radio Laboratory, Schulich School of Engineering, University of Calgary, Calgary, AB T2N 1N4, Canada
Chenini, H., MERLAB Laboratory, University of Tunis El Manar, Tunis, 2092, Tunisia
Hu, X., School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing, 100876, China
Helaoui, M., Department of Electrical and Computer Engineering, Intelligent RF Radio Laboratory, Schulich School of Engineering, University of Calgary, Calgary, AB T2N 1N4, Canada
Rawat, M., IIT Roorkee, Roorkee, 247667, India
Chen, W., Department of Electronic Engineering, Tsinghua University, Beijing, 100084, China
Boulejfen, N., Military Research Center, Ministry of Defense, Taieb Mhiri City, 2045, Tunisia
Ghannouchi, F.M., Department of Electrical and Computer Engineering, Intelligent RF Radio Laboratory, Schulich School of Engineering, University of Calgary, Calgary, AB T2N 1N4, Canada
Funding Details: Manuscript received November 30, 2020; revised February 14, 2021 and April 4, 2021; accepted April 7, 2021. Date of publication May 11, 2021; date of current version September 2, 2021. This work was supported in part by Alberta Innovates Technology Futures, Canada, and in part by the National Science and Engineering Research Council, Canada. (Corresponding author: Praveen Jaraut.) Praveen Jaraut, Abubaker Abdelhafiz, Mohamed Helaoui, and Fadhel M. Ghannouchi are with the Intelligent RF Radio Laboratory, Department of Electrical and Computer Engineering, Schulich School of Engineering, University of Calgary, Calgary, AB T2N 1N4, Canada (e-mail: praveen.jaraut@ieee.org; ahbabdel@ucalgary.ca; mhelaoui@ucalgary.ca; fghannou@ucalgary.ca). Natural Sciences and Engineering Research Council of Canada, NSERC; Alberta Innovates - Technology Futures, AITF
Corresponding Author: Jaraut, P.; Department of Electrical and Computer Engineering, Canada; email: praveen.jaraut@ieee.org
Appears in Collections:Journal Publications [ECE]

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