In this paper, we present a high data rate implementation of a digital predistortion (DPD) algorithm on a modern mobile multicore CPU containing an on-chip GPU. The proposed implementation is capable of running in real-time, thanks to the execution of the predistortion stage inside the GPU, and the execution of the learning stage on a separate CPU core. This configuration, combined with the low complexity DPD design, allows for more than 400 Msamples/s sample rates. This is sufficient for satisfying 5G new radio (NR) base station radio transmission specifications in the sub-6 GHz bands, where signal bandwidths up to 100 MHz are specified. The linearization performance is validated with RF measurements on two base station power amplifiers at 3.7 GHz, showing that the 5G NR downlink emission requirements are satisfied.

在本文中，我们介绍了在包含片上GPU的现代移动多核CPU上数字预失真（DPD）算法的高数据速率实现。由于在GPU内执行了预失真阶段，并且在单独的CPU内核上执行了学习阶段，因此所提出的实现能够实时运行。这种配置与低复杂度DPD设计相结合，可实现超过400 Msamples / s的采样率。这足以满足6 GHz以下频段的5G新无线（NR）基站无线电传输规范，其中指定了高达100 MHz的信号带宽。通过在两个3.7 GHz基站功率放大器上的RF测量验证了线性化性能，表明满足了5G NR下行链路发射要求。