An Energy Efficiency Method in UAV-Assisted IIoT Network

Abstract

This research investigates beamforming and Non Orthogonal Multiple Access (NOMA) techniques to enhance the performance of Unmanned Aerial Vehicle (UAV)-assisted communication in Industrial Internet of Things (IIoT) networks. The primary objective is to maximize Energy Efficiency (EE) while considering the challenges of variable user locations and optimizing UAV height. An iterative algorithm is proposed to effectively tackle the non-convex optimization problem, leading to improved EE and overall system performance. Extensive simulations demonstrate the significance of UAV height optimization, which positively impacts EE. Additionally, the performance of different beamforming methods is compared, highlighting the trade-off between complexity and EE performance. The results show that the proposed algorithm outperforms existing approaches, achieving better EE and communication efficiency. This study provides valuable insights for optimizing resource allocation and energy utilization in UAV-assisted IIoT networks, contributing to the advancement of sustainable and efficient wireless communication technologies.