Orthogonal Polynomials Based Complex Gaussian Processes of Nonlinear Power Amplifier for 5G Wireless Communication Systems

Conference proceedings article

Authors/Editors

SUWAT PATTARAMALAI

Strategic Research Themes

Other (Strategic Research Themes)

Publication Details

Author list: Songratthaset D., Pattaramalai S.

Publication year: 2020

Title of series: 22nd International Conference on Advanced Communications Technology (ICACT2020)

Volume number: 2020

Start page: 231

End page: 236

Number of pages: 6

ISBN: 9791188428045

ISSN: 1738-9445

URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85083999450&doi=10.23919%2fICACT48636.2020.9061254&partnerID=40&md5=dfbc5f82ba323f3416544e58da3feb7d

Languages: English-Great Britain (EN-GB)

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Abstract

In this paper, an orthogonal polynomial based complex Gaussian process of nonlinear power amplifier for the filter bank multicarrier modulation (FBMC) systems is proposed. One of the most challenging problems for the FBMC systems is a non-linear distortion caused by a high power amplifier (HPA). Due to the signals for the FBMC communication scenario are modeled as a complex-Gaussian distribution, an analytical expression of the HPA characteristic based on an orthogonal polynomial method by using an upper triangle solution for complex-Gaussian process is derived in this paper. To ensure the robustness of the proposed orthogonal polynomials, the different input distribution such as an exponential and Rayleigh distribution is investigated. In the simulation, a normalized mean squared error (NMSE) and the probability of error performances (BER) in the additive white Gaussian noise (AWGN) channel and the frequency-selective Rayleigh fading channel of the proposed orthogonal polynomial method is determined. Simulation results show that the proposed orthogonal polynomial method significantly outperforms the conventional polynomial method. Furthermore, the proposed orthogonal polynomial based complex-Gaussian input distribution is superior to the exponential, and Rayleigh input distribution in terms of both NMSE and BER performance. © 2020 Global IT Research Institute - GIRI.

Keywords

HPA