Two-Stage Digital Predistortion With Neural-Network-Assisted Virtual Beamforming for Interchannel Effects in MIMO Systems

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IEEE microwave and wireless technology letters Pub Date : 2025-01-16 DOI:10.1109/LMWT.2025.3526625

Xin Hu;Yurong Yao;Boyan Li;Quanhao Yao;Zongyu Chang;Weidong Wang;Fadhel M. Ghannouchi

引用次数: 0

Abstract

Existing method to linearize PAs in multiple-input multiple-output (MIMO) systems either rely on deploying over-the-air (OTA) antenna arrays in the far-field or neglect the effects of interchannel. To address these issues, this letter proposes a two-stage digital predistortion (DPD) approach with neural-network (NN)-assisted virtual beamforming (VB) for interchannel effects in MIMO systems. The main DPD compensates for distortion of PAs, while the sub-DPD compensates for distortion of the interchannel effects. An experimental test was performed using a uniform linear array (ULA) at 3.5 GHz. Based on experimental results, the proposed method achieves up to 5.37-dBc improvement in adjacent channel power ratio (ACPR), closely replicates the linearization performance of OTA, and eliminates the need for remote OTA deployment.

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基于神经网络辅助虚拟波束形成的两级数字预失真在MIMO系统中的信道间效应

现有的多输入多输出（MIMO）系统放大器线性化方法要么依赖于在远场部署OTA天线阵列，要么忽略了信道间的影响。为了解决这些问题，本文提出了一种采用神经网络（NN）辅助虚拟波束形成（VB）的两级数字预失真（DPD）方法，用于MIMO系统中的信道间效果。主DPD补偿放大器的失真，而子DPD补偿通道间效应的失真。采用3.5 GHz的均匀线性阵列（ULA）进行了实验测试。实验结果表明，该方法可将相邻通道功率比（ACPR）提高5.37 dbc，近似复制OTA的线性化性能，且无需远程部署OTA。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

IEEE microwave and wireless technology letters

CiteScore

6.00

自引率

0.00%

发文量