论文标题
大量物联网中无线数据聚合的空中计算
Over-the-Air Computing for Wireless Data Aggregation in Massive IoT
论文作者
论文摘要
无线数据聚合（WDA）指的是分布在设备（例如传感器和智能手机）的汇总数据，是5G和Be-Beyond机器类型通信的常见操作，以支持Things Infreets（IOT），该公司为分布式传感，学习，学习和控制等多元化应用程序奠定了基础。基于分离的通信和兼容原则在适应有限的无线电资源和新兴应用程序施加的严格的延迟限制下（例如自动驾驶）下的大规模访问（例如，自动驾驶）的严格延迟约束，基于分离的通信和竞争原理而设计的常规WDA技术。为了解决这个问题，通过无缝整合计算和通信，正在开发空空计算（AIRCOMP）作为新的WDA解决方案。通过利用多访问通道的波形叠加属性，AirComp将空气变成计算机，用于计算许多设备在许多设备上分布式数据的功能，从而允许在大型设备上使用低延迟的WDA。鉴于对AirComp的兴趣日益增长，本文通过介绍基本原理，讨论高级技术和应用以及确定有希望的研究机会，及时概述了该技术。
Wireless data aggregation (WDA), referring to aggregating data distributed at devices (e.g., sensors and smartphone), is a common operation in 5G-and-beyond machine-type communications to support Internet-of-Things (IoT), which lays the foundation for diversified applications such as distributed sensing, learning, and control. Conventional WDA techniques that are designed based on a separated-communication-and-computation principle encounter difficulty in accommodating the massive access under the limited radio resource and stringent latency constraints imposed by emerging applications (e.g, auto-driving). To address this issue, over-the-air computation (AirComp) is being developed as a new WDA solution by seamlessly integrating computation and communication. By exploiting the waveform superposition property of a multiple-access channel, AirComp turns the air into a computer for computing and communicating functions of distributed data at many devices, thereby allowing low-latency WDA over massive devices. In view of growing interests on AirComp, this article provides a timely overview of the technology by introducing basic principles, discussing advanced techniques and applications, and identifying promising research opportunities.
