面向失真最小化的大规模MIMO信号峰值降低技术研究

Owing to the advantages of high spectral efficiency, system capacity and the transmission rate, orthogonal frequency-division multiplexing (OFDM)-based massive multiple-input multiple-output (MIMO) technique has become a promising candidate in the 5th generation wireless communication system. While the high peak-to-average power ratio of its transmission signal necessitates expensive and power-inefficient radio-frequency (RF) components at the base station. In order to solve this problem, this project investigates the topic of "how to reduce the distortion caused by peak constraint of the massive MIMO signal", which includes: 1) optimize the peak canceling signal that constructed by MIMO precoding and the conventional windowing function based on the reasonable distortion metrics at the transmit side, and then remove the distortion caused by peak reduction at the receive side according to the sparse signal reconstruction theory; 2) design a joint peak constraint and error vector magnitude (EVM) optimization tone injection constellation mapping scheme based on the reasonable construction of the projection approximation shear constraints massive MIMO signals while considering the EVM requirement; 3) design some novel peak signal reduction schemes with low distortion and good compatibility with current standards based on the distortion and bit error rate minimization conditions subject to the peak constrain derived using Order Statistics and Level Crossing theory. The accomplishment of the proposed project helps facilitate the development of Massive MIMO technologies in the 5th generation wireless communications technology. Therefore, the research in the proposed project has both theoretical interest and practical value.

作为获得频谱效率、系统容量及传输速率等性能成倍增长的核心技术，基于OFDM的大规模MIMO技术被认为是5G通信中极具潜力的候选技术。而其高峰值信号通过放大器引入的失真则是限制该技术传输有效性的主要瓶颈之一。针对这一问题，本课题围绕“如何在降低大规模MIMO信号峰值的同时最小化处理失真？”展开研究，具体内容包括：1)基于合理的失真度量标准，在发端采用MIMO预编码联合窗函数构建且优化峰值消减信号，并在接收端根据信号稀疏重构理论消除峰值处理失真；2)基于剪切大规模MIMO信号投影，合理的构造逼近约束信号，并结合误差矢量幅度的要求来设计满足峰值受限条件的载波注入方案；3) 基于大规模MIMO信号特性分析推导其峰均功率比的表达式，并结合失真评价体系，设计扭曲失真受限且符合现行标准的新型峰值降低技术。本课题的研究工作有助于促进大规模MIMO技术在5G通信中的发展，因此具有较高的研究价值和实际意义。

大规模MIMO-OFDM技术的其高峰值信号通过放大器引入的失真则是限制该技术传输有效性的主要瓶颈之一。本课题围绕“如何在降低大规模MIMO信号峰值的同时最小化处理失真？”展开研究，具体内容包括：1)基于合理的失真度量标准，在发端数构建且优化峰值消减信号并在接收端处理失真；2)结合误差矢量幅度的要求来设计满足峰值受限条件的载波注入方案；3) 设计扭曲失真受限新型峰值降低技术。本课题的研究工作有助于促进大规模MIMO技术在未来无线通信系统中的发展，因此具有较高的研究价值和实际意义。