Waveforms for Computing Over the Air

TL;DR

This paper introduces a unified physical layer framework for over-the-air computation, addressing waveform design and signal processing to improve wireless distributed learning and control systems amid spectrum constraints.

Contribution

It is the first to focus on the physical layer aspects of AirComp, providing a comprehensive framework for waveform and signal processing in various applications.

Findings

Unified framework for waveform design in AirComp

Enhanced signal processing techniques for reliable over-the-air computation

Addresses latency and spectrum efficiency challenges

Abstract

Over-the-air computation (AirComp) leverages the signal-superposition characteristic of wireless multiple access channels to perform mathematical computations. Initially introduced to enhance communication reliability in interference channels and wireless sensor networks, 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 paper is the first one to focus on the physical layer 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.