论文标题
依赖MMWave MIMO IOT网络中不完美的CSI的强大线性混合边界设计设计
Robust Linear Hybrid Beamforming Designs Relying on Imperfect CSI in mmWave MIMO IoT Networks
论文作者
论文摘要
线性混合波束形式设计是为毫米波（MMWave）多输入多输出（MIMO）物联网网络（IOTNE）中的向量参数的分散估计来构想的。所提出的设计同时融合了整个Iotne和单个Iotno功率约束，同时也消除了Fusion Center（FC）对基带接收器组合的需求。为了避免混合边界设计问题的非跨性别性，所提出的方法最初确定最小均方根误差（MMSE）数字传输预编码器（TPC）权重，然后是同时基于正交匹配手（SOMP）的框架，用于获得模拟RF和数字基本Base Bassband tpcs。还可以使用随机和标准的CSI CSI不确定性框架来实现鲁棒的混合光束形式。在这项工作中得出的集中式MMSE结合是拟议混合TPC设计的估计性能的下限。最后，我们的仿真结果量化了开发的各种设计的好处。
Linear hybrid beamformer designs are conceived for the decentralized estimation of a vector parameter in a millimeter wave (mmWave) multiple-input multiple-output (MIMO) Internet of Things network (IoTNe). The proposed designs incorporate both total IoTNe and individual IoTNo power constraints, while also eliminating the need for a baseband receiver combiner at the fusion center (FC). To circumvent the non-convexity of the hybrid beamformer design problem, the proposed approach initially determines the minimum mean square error (MMSE) digital transmit precoder (TPC) weights followed by a simultaneous orthogonal matching pursuit (SOMP)-based framework for obtaining the analog RF and digital baseband TPCs. Robust hybrid beamformers are also derived for the realistic imperfect channel state information (CSI) scenario, utilizing both the stochastic and norm-ball CSI uncertainty frameworks. The centralized MMSE bound derived in this work serves as a lower bound for the estimation performance of the proposed hybrid TPC designs. Finally, our simulation results quantify the benefits of the various designs developed.
