Work

Selective channel inversion protocol for over-the-air computation

Year: 2025

Type: article

Abstract: This paper introduces a novel selective channel inversion (SCI) protocol for over-the-air computation (AirComp) networks. The proposed SCI protocol reduces the overhead associated with channel state information (CSI) by broadcasting a predefined channel threshold. Furthermore, it improves mean squared error (MSE) performance by permitting transmission only from sensor nodes with favorable channel conditions. For an arbitrary channel distribution, an exact closed-form expression for the MSE is derived, from which an asymptotic expression for a large number of sensor nodes is obtained. Numerical results demonstrate that the asymptotic expression closely matches the exact result, even for a relatively small number of sensor nodes. An optimization problem is formulated to determine the optimal channel threshold under Nakagami- m fading channels, and it is analytically proven that the problem is convex. An algorithm for dynamically determining the threshold under arbitrary channel distributions is also presented. Numerical results demonstrate that SCI AirComp outperforms CI AirComp in scenarios with low signal-to-noise ratio (SNR), high fading severity, and a large number of sensor nodes. 2018 The Korean Institute of Communications and Information Sciences. Publishing Services by Elsevier B.V. This is an open access article under the CC BY-NC-ND license ( http://creativecommons.org/licenses/by-nc-nd/4.0/ ).

Source: ICT Express

DOI: 10.1016/j.icte.2025.11.016

Authors: Hyunwoo Jung, Jung-Bin Kim

Institutions: Korea University of Science and Technology, Electronics and Telecommunications Research Institute

Language: English

Topic: Distributed Sensor Networks and Detection Algorithms

Subfield: Computer Networks and Communications

Field: Computer Science

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: gold

Estimated APC paid: $1,500