Over-the-Air Computing for Wireless Data Aggregation in Massive IoT
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Abstract (arXiv)
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.
Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). First posted on arXiv 4 Sep 2020.
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Citing papers per year: 2021: 3; 2022: 1.
4 papers.
- 2021Edge Artificial Intelligence for 6G: Vision, Enabling Technologies, and Applicationscited by 96
- 2021Dynamic Scheduling for Over-the-Air Federated Edge Learning with Energy Constraintscited by 34
- 2021Over-the-Air Decentralized Federated Learningcited by 18
- 2022Over-the-Air Federated Learning with Privacy Protection via Correlated Additive Perturbationscited by 5
- 2022Over-the-Air Federated Learning with Privacy Protection via Correlated Additive Perturbations5 Oct 2022
- 2021Edge Artificial Intelligence for 6G: Vision, Enabling Technologies, and Applications24 Nov 2021
- 2021Over-the-Air Decentralized Federated Learning15 Jun 2021
- 2021Dynamic Scheduling for Over-the-Air Federated Edge Learning with Energy Constraints31 May 2021