Exploring the Impact of Power Control Strategies for Enhanced IoT Connectivity in Massive MIMO
Byung Moo Lee
Abstract
The use of massive multiple-input–multiple-output (MIMO) technology is gaining traction as a potential solution to various wireless challenges, particularly in addressing the deployment of ultra high-density massive Internet of Things (IoT) connectivity. To facilitate the ultra high-density massive IoT, it is imperative to implement intelligent power control strategies that ensure low latency and high-reliability requirements are met. In this article, we present power control strategies based on the performance analysis of the two efficient uplink power control schemes, channel inversion (CI) power control and max–min (MM) fairness power control, designed to enhance massive IoT connectivity in massive MIMO networks. Additionally, we propose an initial power determination scheme based on closed-form expressions of signal-to-interference-plus-noise ratio (SINR) to effectively leverage system performance. Furthermore, we apply the CI power control scheme to reference signal (RS) to further enhance the performance of the system. Our results reveal that applying CI power control to RS significantly improves system fairness, and that the performances of CI power control and MM fairness power control are comparable in the context of massive IoT connectivity. Thus, utilizing the simple CI power control scheme provides satisfactory performance in terms of both spectral efficiency and fairness. Our proposed power control strategies and initial power determination scheme can be well suited for various massive IoT systems using massive MIMO.