论文标题
通过传感器网络中的无线计算，用于相关数据聚合的预编码器设计
Precoder Design for Correlated Data Aggregation via Over-the-Air Computation in Sensor Networks
论文作者
论文摘要
通过同时处理计算和通信，无线计算（AIRCOMP）可以在传感器网络中实现有效的无线数据聚合。本文提出了针对AirComp的新型预编码器设计，该设计结合了传感数据的统计特性，空间相关性和异质数据相关性。所提出的预编码器设计不需要迭代过程，以便可以通过低计算成本来实现它。此外，该方法提供了降低感测数据的维度，以降低每个传感器的通信成本。我们根据各种系统参数评估所提出的方法的性能。结果表明，在有大量传感器且聚合器的接收天线数量小于传感器总发射天线的情况下，提出的方法对常规非素养方法的优越性。
Over-the-air computation (AirComp) enables efficient wireless data aggregation in sensor networks by simultaneous processing of calculation and communication. This paper proposes a novel precoder design for AirComp that incorporates statistical properties of sensing data, spatial correlation and heterogeneous data correlation. The proposed design of the precoder requires no iterative processes so that it can be realized with low computational costs. Moreover, this method provides dimensionality reduction of sensing data to reduce communication costs per sensor. We evaluate performance of the proposed method in terms of various system parameters. The results show the superiority of the proposed method to conventional non-iterative methods in cases where there are a large number of sensors and where the number of receive antennas at the aggregator is less than that of the total transmit antennas at the sensors.
