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Digital predistortion technique for low resource consumption using carrier aggregated 4G/5G signals

机译:使用载波聚合的4G / 5G信号实现低资源消耗的数字预失真技术

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摘要

Carrier aggregation (CA) is an essential part of long-term evolution (LTE) signals for 4G/5G wireless communication. However, CA LTE signals place stringent conditions on the radio-frequency power amplifiers (PAs). The multi-band operation, wider bandwidth, and related hardware cost increase for the implementation of digital predistortion (DPD) for the multi-band PAs. This study presents a novel independent component analysis (ICA) method for the DPD models which is suitable for all three cases (intra-band contiguous, intra-band non-contiguous and inter-band non-contiguous) of CA. It has been established that the memory requirement of ICA-based memory polynomial (MP) model implementation is much lesser than the state-of-the-art low complexity models such as MP model, orthogonal MP model and principal component analysis-based MP model for CA LTE signals. The proof-of-concept is provided with two different measurement setups for establishing its versatility.
机译:载波聚合(CA)是4G / 5G无线通信的长期演进(LTE)信号的重要组成部分。但是,CA LTE信号对射频功率放大器(PA)施加了严格的条件。为实现多频带PA的数字预失真(DPD),多频带操作,更宽的带宽以及相关的硬件成本增加。这项研究为DPD模型提出了一种新颖的独立成分分析(ICA)方法,该方法适用于CA的所有三种情况(带内连续,带内不连续和带间不连续)。已经确定,基于ICA的存储器多项式(MP)模型实现的存储器需求比诸如MP模型,正交MP模型和基于主成分分析的MP模型等最新的低复杂度模型要小得多。用于CA LTE信号。概念验证提供了两种不同的测量设置以建立其多功能性。

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