混合预编码器的内在关联机制与结构优化

项目名称： 混合预编码器的内在关联机制与结构优化

项目编号： No.61771414

项目类型： 面上项目

立项/批准年度： 2018

项目学科： 无线电电子学、电信技术

项目作者： 王仕果

作者单位： 湘潭大学

项目金额： 16万元

中文摘要： 在5G毫米波通信系统中，混合预编码是实现大规模MIMO收发结构的关键，混合预编码器的结构关系到系统的硬件成本和服务质量。已有研究主要集中于如何提高混合预编码器的精确度和降低算法复杂度，并没有考虑数字基带预处理部分与模拟相移器之间的关联和结构优化，而这正是混合预编码器设计的基础，也是进一步降低系统硬件成本的理论依据。基于此，本申请项目利用毫米波大规模MIMO信道的稀疏特性，采用压缩感知、矩阵分解以及最优化理论对混合预编码器的内在关联与结构优化机制进行研究，探索所需射频链路数和能并行传输的数据流支路数与信道稀疏特性之间的关系，试图对混合预编码器的结构进行优化，进一步降低混合预编码器及其配套电路的硬件成本和功率消耗。同时，对所提的内部转换机制和结构优化策略进行性能评估，构建混合预编码器优化设计的理论体系。

中文关键词： Massive；MIMO；波束成形；收发器；MIMO通信

英文摘要： In the 5G millimeter-wave communication systems, hybrid precoding is one of the key technologies to realize large-scale MIMO transceiver structure，and its structure affects the system hardware cost and service quality. Focusing on improving the accuracy and decrease the computational complexity of hybrid precoder design, much research has been carried out. However, all the research does not consider the relationship between digital baseband precoding and analog phase shifter and structure optimization, which is the foundation to design hybrid precoder and the theoretical basis to further reduce system hardware cost. Based on the above issues, according to the channel sparsity of mmWave large-scale MIMO system, this project will research its internal association mechanism and structure optimization using the theories, such as compressed sensing, matrix decomposition and optimization, and explore the relationship between the sparsity of channel matrix and the numbers of required RF links and feasible parallel data streams, optimize the structure of hybrid precoder, which benefits to reduce the hardware cost and power consumption of hybrid precoder and its support circuits. Furthermore, evaluate the found internal association mechanism and the proposed schemes, and construct the fundamental theoretical system for hybrid precoder design of massive MIMO systems.

英文关键词： Massive MIMO;beamforming;transceiver;MIMO communication