Performance Evaluation of Multi-Stages Doherty Power Amplifier for 5G Communication Systems
Abstract
This paper presents the design and simulation of a highly efficient three-stage Doherty Power Amplifier (DPA) for 5G wireless communication system at 3.5 GHz using GaAs FET technology. The proposed DPA utilizes optimized dual quarter wavelength impedance transformers to improve the efficiency and linearity performances of the class AB/C biased main and auxiliary amplifiers. The results obtained show a linear power gain of 7.86 dB with a saturated output power of 35-37 dBm. The maximum PAE achieved at saturation was 74.334% . Around 35% efficiency was maintained at 6 dB output back-off. The proposed amplifier was also tested with a 5G NR modulated signal with an 80 MHz channel bandwidth, and it showed low EVM values of about 1.1–1.3% and ACPR/ACLR better than −36 dBc, indicating good modulation accuracy, spectral confinement, and adjacent-channel suppression. The obtained results confirm the effectiveness of the proposed three-stage DPA in achieving a good trade-off among efficiency, gain and linearity for practical mid-band 5G applications.
Keywords
Doherty power amplifier (DPA), linearity, 5G systems, adjacent channel leakage ratio (ACLR), Error Vector Magnitude (EVM), output backoff point
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
S. Hussein, A. Alhafid, M. Yaseen and A. Shalal, "Performance Evaluation of Multi-Stages Doherty Power Amplifier for 5G Communication Systems," in Journal of Communications Software and Systems, vol. 22, no. 3, pp. 379-387, July 2026, doi: 10.24138/jcomss-2026-0053
@article{hussein2026performanceevaluation,
author = {Hussein, Shamil H. and Alhafid, Abdulrahman Kh. and Yaseen, Mohammad T. and Shalal, Ali Dh.},
title = {{Performance Evaluation of Multi-Stages Doherty Power Amplifier for 5G Communication Systems}},
journal = {Journal of Communications Software and Systems},
month = jul,
year = {2026},
volume = {22},
number = {3},
pages = {379--387},
doi = {10.24138/jcomss-2026-0053},
url = {https://doi.org/10.24138/jcomss-2026-0053}
}