The complexity of digital predistortion (DPD) for the concurrent multiband (MB) power amplifier (PA) has been a bottleneck for 5G wireless communication. A low-complexity MB DPD model has been proposed to reduce the running time complexity of DPD models for concurrent MB scenarios. The proposed MB model can generate the Volterra format basis functions with odd orders, including in-band, cross-band, and intermodulation (IMD) basis terms for arbitrary carrier configurations with an arbitrary number of bands. The optimal basis functions within the band of interests will be selected using a basis-function search algorithm. The lower cost complexity and high model accuracy of the proposed MB model have been validated by the PA linearization experiments in comparison with the memory polynomial MB model.

中文翻译：

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并发多频带射频功率放大器的低复杂度数字预失真

并发多频带 (MB) 功率放大器 (PA) 的数字预失真 (DPD) 复杂性一直是 5G 无线通信的瓶颈。已经提出了一种低复杂度的 MB DPD 模型，以降低 DPD 模型在并发 MB 场景下的运行时间复杂度。所提出的 MB 模型可以生成具有奇数阶的 Volterra 格式基函数，包括用于具有任意数量频带的任意载波配置的带内、跨频带和互调 (IMD) 基项。将使用基函数搜索算法选择感兴趣范围内的最佳基函数。与记忆多项式 MB 模型相比，PA 线性化实验验证了所提出的 MB 模型具有较低的成本复杂度和较高的模型精度。