无人机协助的多用户MIMO毫米波网络混合预编码方案

针对无人机（UAV）协助的毫米波网络下行链路多用户通信场景，设计一种混合预编码方案。在发射端和接收端分别使用混合预编码器和模拟合并器，并将多元联合优化问题分解为子问题进行求解。构建UAV与地面用户的三维位置模型，利用带外位置信息对波束导向向量进行优化，进而通过码本生成模拟预编码器和模拟合并器。以最小化接收数据和发送数据之间的误差为目标，利用卡尔曼滤波算法设计基带预编码器，从而减少用户之间的干扰。仿真结果表明，该方案相比模拟波束成形方案、数字预编码方案和迫零混合预编码方案可有效提升系统频谱效率和能量效率。

Hybrid Precoding Scheme of UAV-Assisted Multi-User MIMO Millimeter Wave Network

A hybrid precoding scheme is designed for the Unmanned Aerial Vehicle(UAV)-assisted multi-user downlink communication scenario of millimeter Wave(mmWave) network. The scheme simplifies the multi-element joint optimization problem into multiple sub-problems, and deploys a hybrid precoder on the transmitter and an analog combiner on the receiver. A three-dimensional position model is built for the UAV and ground users, and the out-of-band position information is used to optimize the beam steering vector. Then the codebook is used to generate an analog precoder and an analog combiner. In order to minimize the errors between the transmitted data and received data, the Kalman filtering algorithm is used to design the baseband precoder to reduce interference between users. Simulation results show that compared with the analog beam forming scheme, digital precoding scheme and zero forcing hybrid precoding scheme, the proposed scheme can effectively achieve high spectral efficiency and energy efficiency.