Over-the-Air Max-Consensus in Clustered Networks Adopting Half-Duplex Communication Technology

Molinari, Fabio; Agrawal, Navneet; Stańczak, Sławomir; Raisch, Joerg

doi:10.1109/tcns.2022.3212870

Cited by 7 publications

(2 citation statements)

References 26 publications

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“…However, the main results of both [27] and [28] are based on some unrealistic assumptions. First, each agent is assumed to be equipped with a full-duplex transceiver, which, however, has been relaxed in their latest work [29] by clustering agents. Second, it is assumed that the channels are noiseless and the receivers are noise-free.…”

Section: Introductionmentioning

confidence: 99%

“…1) We propose a communication-efficient distributed average consensus protocol by utilizing over-the-air aggregation. Compared with [27]- [29], the implementation of the proposed protocol does not require the assumption of noiseless channels, full-duplex transceivers and phase synchronization of transmitters. Moreover, the effect of noise is taken into account.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Distributed Finite-Time Average Consensus Over Unbalanced Digraphs via Broadcast Mode

Wang

Xiao

et al. 2024

IEEE Trans. Netw. Sci. Eng.

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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.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%