Waveform Design for Joint PAPR Reduction and Predistortion in OFDM Systems

被引：0

作者：

Han, Leixin ^{[1
,2
]}

Hou, Ruiding ^{[1
,2
]}

Wang, Jiaheng ^{[1
,2
]}

Gao, Xiqi ^{[1
,2
]}

Wang, Sen ^{[3
]}

Xia, Liang ^{[3
]}

Wang, Qixing ^{[3
]}

Ding, Haiyu ^{[3
]}

机构：

[1] Southeast Univ, Natl Mobile Commun Res Lab, Nanjing 210096, Peoples R China

[2] Purple Mt Labs, Nanjing 211111, Peoples R China

[3] China Mobile Res Inst, Beijing 100033, Peoples R China

来源：

IEEE WIRELESS COMMUNICATIONS LETTERS | 2025年 / 14卷 / 04期

基金：

中国国家自然科学基金;

关键词：

Peak to average power ratio; Optimization; Vectors; Predistortion; Frequency-domain analysis; Transmitters; Time-domain analysis; Nonlinear distortion; Mathematical models; Long Term Evolution; OFDM; PAPR; DPD; PA nonlinearity; waveform design; HPA LINEARIZATION;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Peak-to-average-power ratio (PAPR) and power amplifier (PA) nonlinearity are significant challenges that limit the performance of orthogonal frequency division multiplexing (OFDM) systems. Various techniques have been proposed to address these two issues separately. In this letter, we propose a unified framework for PAPR reduction and digital predistortion (DPD) by optimizing the waveform of the OFDM signal. We develop two effective and low-complexity algorithms to address the joint PAPR and DPD optimization problem. Simulation results demonstrate that the proposed algorithms surpass existing approaches in terms of error vector magnitude (EVM), PAPR, and power spectral density (PSD).

引用

页码：1089 / 1093

页数：5

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