Technical Program

Paper Detail

Paper Title Analysis of Data Harvesting by Unmanned Aerial Vehicles
Paper IdentifierMO1.R7.2
Authors Chang-sik Choi, François Baccelli, Gustavo de Veciana, University of Texas at Austin, United States
Session Energy Harvesting
Location Bièvre, Level 5
Session Time Monday, 08 July, 09:50 - 11:10
Presentation Time Monday, 08 July, 10:10 - 10:30
Manuscript  Click here to download the manuscript
Abstract This paper explores an emerging wireless architecture based on unmanned aerial vehicles (UAVs), i.e., drones. We consider a network where UAVs at fixed altitude harvest data from Internet-of-Things (IoT) devices on the ground. Each UAV serves IoT devices within its coverage area. In such a system, the UAVs’ motion activates IoT uplink transmissions and so the motion triggers the interference field and determines the network performance. To analyze the performance, we propose a stochastic geometry model. The coverage area of each UAV, referred to as the activation window, is modeled for simplicity as a rectangle where at most one IoT device is scheduled to transmit at any given time. In this setting, we analyze the signal-to-interference and data rate from two typical perspectives, namely from a typical UAV’s and from a typical IoT device’s points of view.