Modelling and Performance Analysis of the Over-the-Air Computing in Cellular IoT Networks

TL;DR

This paper analyzes how the access radius of access points affects the performance of over-the-air computing in dense cellular IoT networks, deriving an analytical MSE expression and identifying an optimal radius for improved data aggregation.

Contribution

It provides an analytical model of AirComp performance considering AP access radius in dense IoT networks, which was not previously studied.

Findings

Optimal AP access radius reduces MSE by up to 12.7%.

Analytical MSE expression validated by simulations.

AP radius significantly impacts AirComp performance.

Abstract

Ultra-fast wireless data aggregation (WDA) of distributed data has emerged as a critical design challenge in the ultra-densely deployed cellular internet of things network (CITN) due to limited spectral resources. Over-the-air computing (AirComp) has been proposed as an effective solution for ultra-fast WDA by exploiting the superposition property of wireless channels. However, the effect of access radius of access point (AP) on the AirComp performance has not been investigated yet. Therefore, in this work, the mean square error (MSE) performance of AirComp in the ultra-densely deployed CITN is analyzed with the AP access radius. By modelling the spatial locations of internet of things devices as a Poisson point process, the expression of MSE is derived in an analytical form, which is validated by Monte Carlo simulations. Based on the analytical MSE, we investigate the effect of AP access radius on the MSE of AirComp numerically. The results show that there exists an optimal AP access radius for AirComp, which can decrease the MSE by up to 12.7%. It indicates that the AP access radius should be carefully chosen to improve the AirComp performance in the ultra-densely deployed CITN.