Enhancing 5G Internet of Things (iot) Connectivity Through Comprehensive Path Loss Modelling: A Systematic Review

Abstract

Optimizing connectivity becomes paramount as the integration of 5G networks and the Internet of Things (IoT) continues to revolutionize communication landscapes. This systematic review digs into the intricacies of path loss modeling, a critical aspect of ensuring robust 5G IoT connectivity. By synthesizing and analyzing diverse research studies, this review aims to provide a comprehensive understanding of the current state of path loss modeling in the context of 5G IoT networks. We explored emerging methodologies and technologies that contribute to the optimization of path loss modeling and ultimately paved the way for enhanced and reliable 5G IoT connectivity. The study presents a comprehensive survey of IoT connectivity in 5G networks, specifically focusing on the different path loss models utilized in designing and installing 5G network infrastructure. Our review contributes by examining the characteristics of 5G networks, detailing the architecture of IoT in the 5G network, exploring diverse path loss models employed in 5G network planning, and highlighting both current challenges and promising research areas for the future of IoT connectivity. This research aims to provide valuable insight for researchers, practitioners, and industry professionals working on optimizing 5G IoT networks.