Distributed Average Consensus via Noisy and Non-Coherent Over-the-Air Aggregation

Fuente: arXiv
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Autores principales: Yang, Huiwen, Chen, Xiaomeng, Huang, Lingying, Dey, Subhrakanti, Shi, Ling
Formato: Preprint
Publicado: 2024
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author Yang, Huiwen
Chen, Xiaomeng
Huang, Lingying
Dey, Subhrakanti
Shi, Ling
author_facet Yang, Huiwen
Chen, Xiaomeng
Huang, Lingying
Dey, Subhrakanti
Shi, Ling
contents Over-the-air aggregation has attracted widespread attention for its potential advantages in task-oriented applications, such as distributed sensing, learning, and consensus. In this paper, we develop a communication-efficient distributed average consensus protocol by utilizing over-the-air aggregation, which exploits the superposition property of wireless channels rather than combat it. Noisy channels and non-coherent transmission are taken into account, and only half-duplex transceivers are required. We prove that the system can achieve average consensus in mean square and even almost surely under the proposed protocol. Furthermore, we extend the analysis to the scenarios with time-varying topology. Numerical simulation shows the effectiveness of the proposed protocol.
format Preprint
id arxiv_https___arxiv_org_abs_2403_06920
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Distributed Average Consensus via Noisy and Non-Coherent Over-the-Air Aggregation
Yang, Huiwen
Chen, Xiaomeng
Huang, Lingying
Dey, Subhrakanti
Shi, Ling
Signal Processing
Systems and Control
Over-the-air aggregation has attracted widespread attention for its potential advantages in task-oriented applications, such as distributed sensing, learning, and consensus. In this paper, we develop a communication-efficient distributed average consensus protocol by utilizing over-the-air aggregation, which exploits the superposition property of wireless channels rather than combat it. Noisy channels and non-coherent transmission are taken into account, and only half-duplex transceivers are required. We prove that the system can achieve average consensus in mean square and even almost surely under the proposed protocol. Furthermore, we extend the analysis to the scenarios with time-varying topology. Numerical simulation shows the effectiveness of the proposed protocol.
title Distributed Average Consensus via Noisy and Non-Coherent Over-the-Air Aggregation
topic Signal Processing
Systems and Control
url https://arxiv.org/abs/2403.06920