Behavioral Modeling and Predistortion of Dual-Band Power Amplifiers

Dual-band power amplifiers (PAs) are essential components in modern wireless communication systems. Compared to single band PAs, dual-band PAs enable efficient utilization of spectrum resources with lower capital and operational expenses. In modern applications, inherent nonlinearities in PAs are unavoidable and can significantly degrade signal quality causing significant spectrum regrowth. These nonlinearities, already problematic in the case of single band systems, become considerably worse in dual-band systems with the generation of a plethora of intermodulation and cross-modulation products. These are even more challenging since the dominant distortions products can vary depending on the carrier aggregation scenario and, most importantly, the spacing between the two bands. Digital predistortion (DPD) techniques are mature for single band PAs; however, there are still numerous challenges for their adoption in dual-band and multi-band systems. This paper provides a comprehensive review of dual-band digital predistorters, including polynomial based, hybrid, and neural networks based predistorters. The different models are presented using consistent formulations to better highlight their commonalities and differences. Finally, a discussion of the presented models is included along with some insight about potential areas of improvement. This review aims to provide a valuable resource for researchers and engineers working on the design and optimization of dual-band communication systems.

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Publication Details

Journal
IEEE Access
Published
2025-01-01
DOI
https://doi.org/10.1109/access.2025.3590752
Citations
2
Primary Topic
Radio Frequency Integrated Circuit Design
Type
article
Field-Weighted Citation Impact
1.46

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article

Behavioral Modeling and Predistortion of Dual-Band Power Amplifiers

Oualid Hammi, Ahmad Dalbah, Fadhel M. Ghannouchi, Wenhua Chen et al.
2 citations
IEEE Access
Radio Frequency Integrated Circuit Design
1.46
article

Behavioral Modeling and Predistortion of Dual-Band Power Amplifiers

Oualid Hammi, Ahmad Dalbah, Fadhel M. Ghannouchi, Wenhua Chen, Majid Ahmed
article en
2 citations

Abstract

Dual-band power amplifiers (PAs) are essential components in modern wireless communication systems. Compared to single band PAs, dual-band PAs enable efficient utilization of spectrum resources with lower capital and operational expenses. In modern applications, inherent nonlinearities in PAs are unavoidable and can significantly degrade signal quality causing significant spectrum regrowth. These nonlinearities, already problematic in the case of single band systems, become considerably worse in dual-band systems with the generation of a plethora of intermodulation and cross-modulation products. These are even more challenging since the dominant distortions products can vary depending on the carrier aggregation scenario and, most importantly, the spacing between the two bands. Digital predistortion (DPD) techniques are mature for single band PAs; however, there are still numerous challenges for their adoption in dual-band and multi-band systems. This paper provides a comprehensive review of dual-band digital predistorters, including polynomial based, hybrid, and neural networks based predistorters. The different models are presented using consistent formulations to better highlight their commonalities and differences. Finally, a discussion of the presented models is included along with some insight about potential areas of improvement. This review aims to provide a valuable resource for researchers and engineers working on the design and optimization of dual-band communication systems.

IEEE AccessVol. 13
University of Calgary (CA), American University of Sharjah (AE), Tsinghua University (CN)
American University of Sharjah
Affordable and clean energy
Openalex Percentile: Top 16%
Radio Frequency Integrated Circuit Design
1.46
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Behavioral Modeling and Predistortion of Dual-Band Power Amplifiers — Oualid Hammi, Ahmad Dalbah, et al. · IEEE Access (2025) | TGRS Research Map | TGRS