Waveforms for Computing Over the Air: A groundbreaking approach that redefines data aggregation

Ana I. Pèrez-Neira

doi:10.1109/MSP.2024.3500775

Waveforms for Computing Over the Air: A groundbreaking approach that redefines data aggregation

2025-03-01

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DOI：10.1109/MSP.2024.3500775

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Over-the-air computation (AirComp) leverages the signal superposition characteristic of wireless multiple-access channels (MACs) to perform mathematical computations. Initially introduced to enhance communication reliability in interference channels and wireless sensor networks (WSNs), AirComp has more recently found applications in task-oriented communications like wireless distributed learning and in wireless control systems. Its adoption aims to address latency challenges arising from an increased number of edge devices or Internet of Things (IoT) devices accessing the constrained wireless spectrum. This article is the first one to focus on the physical layer (PHY) of these systems. We present a unified framework, specifically on the waveform and the signal processing aspects at the transmitter and receiver, to meet the challenges that AirComp presents within the different contexts and use cases.

Keywords:

Performance evaluation

Wireless sensor networks

Transmitters

Wireless networks

Receivers

Signal processing

Physical layer

Interference channels

Internet of Things

Reliability

Waveforms for Computing Over the Air: A groundbreaking approach that redefines data aggregation

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