论文标题
非均匀Beamspace调制MMWave混合MIMO通信的信号成型
Signal Shaping for Non-Uniform Beamspace Modulated mmWave Hybrid MIMO Communications
论文作者
论文摘要
本文根据最大化最小欧几里得距离（MMED）标准，研究了毫米波（MMWAVE）多输入多输出（MIMO）通信的自适应信号塑形方法。在这项工作中，我们利用模拟先编码器的索引来携带信息并优化用于每个模拟预码器激活状态的符号向量集。具体而言，我们首先提出了一种基于关节优化的信号塑形（JOSS）方法，其中用于所有模拟预码器激活状态的符号矢量集通过求解一系列四次约束二次编程（QCQP）问题，可以共同优化。但是，乔斯表现出良好的表现，具有较高的计算复杂性。为了降低计算复杂性，我们提出了一个基于完整的基于预编码的信号塑料（FPSS）方法和基于对角线预编码的信号构图（DPSS）方法，其中通过解决两个小规模QCQP问题来优化所有模拟预码器激活状态的完整或对角线数字预码。仿真结果表明，与现有的MMWave传输解决方案相比，提出的信号塑形方法可以提供可靠性的可靠性。
This paper investigates adaptive signal shaping methods for millimeter wave (mmWave) multiple-input multiple-output (MIMO) communications based on the maximizing the minimum Euclidean distance (MMED) criterion. In this work, we utilize the indices of analog precoders to carry information and optimize the symbol vector sets used for each analog precoder activation state. Specifically, we firstly propose a joint optimization based signal shaping (JOSS) approach, in which the symbol vector sets used for all analog precoder activation states are jointly optimized by solving a series of quadratically constrained quadratic programming (QCQP) problems. JOSS exhibits good performance, however, with a high computational complexity. To reduce the computational complexity, we then propose a full precoding based signal shaping (FPSS) method and a diagonal precoding based signal shaping (DPSS) method, where the full or diagonal digital precoders for all analog precoder activation states are optimized by solving two small-scale QCQP problems. Simulation results show that the proposed signal shaping methods can provide considerable performance gain in reliability in comparison with existing mmWave transmission solutions.
