论文标题
预测器天线系统：利用通道状态信息进行车辆通信
Predictor Antenna Systems: Exploiting Channel State Information for Vehicle Communications
论文作者
论文摘要
车辆通信是第五代无线网络（5G）中最重要的用例之一。以性能指标（例如频谱效率，峰值数据速率和中断概率）为特征的对服务质量（QoS）的需求不断增长，这主要受到对移动车辆迅速变化环境的通道状态信息（CSI）的不准确预测/估计的限制。增加CSI预测范围以改善QoS的一种方法是部署预测变量天线（PAS）。 PA系统由通常安装在车顶上的两组天线组成，该天线位于车辆前部的PAS来预测接收天线（RAS）在PAS后面对齐的CSI。但是，在现实的PA系统中，实际收益受多种因素的影响，包括空间不匹配，天线利用率，散射环境的时间相关性和CSI估计误差。本文在实际约束下研究了PA系统的不同资源分配方案。
Vehicle communication is one of the most important use cases in the fifth generation of wireless networks (5G). The growing demand for quality of service (QoS) characterized by performance metrics, such as spectrum efficiency, peak data rate, and outage probability, is mainly limited by inaccurate prediction/estimation of channel state information (CSI) of the rapidly changing environment around moving vehicles. One way to increase the prediction horizon of CSI in order to improve the QoS is deploying predictor antennas (PAs). A PA system consists of two sets of antennas typically mounted on the roof of a vehicle, where the PAs positioned at the front of the vehicle are used to predict the CSI observed by the receive antennas (RAs) that are aligned behind the PAs. In realistic PA systems, however, the actual benefit is affected by a variety of factors, including spatial mismatch, antenna utilization, temporal correlation of scattering environment, and CSI estimation error. This thesis investigates different resource allocation schemes for the PA systems under practical constraints.
