Campus Units

Electrical and Computer Engineering

Document Type

Conference Proceeding


The 46th IEEE Conference on Local Computer Networks (LCN)

Publication Version

Accepted Manuscript

Publication Date


Conference Title

The 46th IEEE Conference on Local Computer Networks (LCN)

Conference Date

October 4-7, 2021


Edmonton, Alberta, Canada


The ever-evolving internet of things (IoT) has led to the growth of numerous wireless sensors, communicating through the internet infrastructure. When designing a network using these sensors, one critical aspect is the longevity and self-sustainability of these devices. For extending the lifetime of these sensors, radio frequency energy harvesting (RFEH) technology has proved to be promising. In this paper, we propose CURE, a novel framework for RFEH that effectively combines the benefits of cell-free massive MIMO (CFmMIMO), unmanned aerial vehicles (UAVs), and reconfigurable intelligent surfaces (RISs) to provide seamless energy harvesting to IoT devices. We consider UAV as an access point (AP) in the CFmMIMO framework. To enhance the signal strength of the RFEH and information transfer, we leverage RISs owing to their passive reflection capability. Based on an extensive simulation, we validate our framework’s performance by comparing the max-min fairness (MMF) algorithm for the amount of harvested energy.


This is a manuscript of a proceeding published as Khalil, Alvi Ataur, Mohamed Y. Selim, and Mohammad Ashiqur Rahman. "CURE: Enabling RF Energy Harvesting using Cell-Free Massive MIMO UAVs Assisted by RIS." The 46th IEEE Conference on Local Computer Networks (LCN), Edmonton, Alberta, Canada. October 4-7, 2021. Posted with permission.


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