2021/07/21 by Alvi Ataur Khalil, Khalil, Alvi Ataur, Mohamed Y. Selim +3 · 1 citation
Engineering · #Advanced Wireless Communication Technologies #Energy Harvesting in Wireless Networks #FOS: Computer and information sciences #FOS: Electrical engineering #Networking and Internet Architecture (cs.NI) #Signal Processing (eess.SP) #UAV Applications and Optimization #electronic engineering #information engineering
paper · pdf · doi:10.48550/arxiv.2107.10412
openalex publication_date 2021/07/21 · openalex created_date 2022/07/25 · openalex updated_date 2026/07/28
The ever-evolving internet of things (IoT) has led to the growth of numerous\nwireless sensors, communicating through the internet infrastructure. When\ndesigning a network using these sensors, one critical aspect is the longevity\nand self-sustainability of these devices. For extending the lifetime of these\nsensors, radio frequency energy harvesting (RFEH) technology has proved to be\npromising. In this paper, we propose CURE, a novel framework for RFEH that\neffectively combines the benefits of cell-free massive MIMO (CFmMIMO), unmanned\naerial vehicles (UAVs), and reconfigurable intelligent surfaces (RISs) to\nprovide seamless energy harvesting to IoT devices. We consider UAV as an access\npoint (AP) in the CFmMIMO framework. To enhance the signal strength of the RFEH\nand information transfer, we leverage RISs owing to their passive reflection\ncapability. Based on an extensive simulation, we validate our framework's\nperformance by comparing the max-min fairness (MMF) algorithm for the amount of\nharvested energy.\n