IEEE Wireless Communications · 2021 · 225 citations · 11 references
ComputingCommunicationComputer SystemsDigital CommunicationInternet Of ThingsWireless CommunicationsIot NetworkingMultiple Access TechniquesSensor NetworksWireless Communication ProtocolsWireless NetworksWireless Sensor NetworksIot Data AggregationIot Data ProcessingLow-latency NetworkingMassive Device-to-device CommunicationMassive Machine-type CommunicationsRadio Resource ManagementWireless Data Transmission
Wireless data aggregation (WDA), referring to aggregating data distributed at devices (e.g., sensors and smartphones), is a common operation in 5G-and-beyond machine-type communications to support the Internet of Things (IoT), which lays the foundation for diversified applications such as distributed sensing, learning, and control. Conventional WDA techniques, which are designed in a task-agnostic manner separating communication and computation, encounter difficulty in accommodating the massive access under the limited radio resource and stringent latency constraints imposed by emerging applications or tasks (e.g, auto-driving). To address this issue, over-the-air computation (AirComp) is being developed as a new task-oriented solution for WDA by seamlessly integrating communication and computation. By exploiting the waveform superposition property of multiple access channels, 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 IoT networks. In view of growing interest in Air-Comp, this article provides a timely overview of the technology by introducing basic principles, discussing advanced techniques and applications, and identifying promising research opportunities.
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Liang Liu, Erik G. Larsson, Wei Yu et al. · IEEE Signal Processing Magazine · 2018 · 517 citations · Full text