Communication Dans Un Congrès Année : 2019

Analysis of Data Harvesting by Unmanned Aerial Vehicles

Résumé

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.

Dates et versions

hal-04884930 , version 1 (13-01-2025)

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Citer

Chang-Sik Choi, François Baccelli, Gustavo de Veciana. Analysis of Data Harvesting by Unmanned Aerial Vehicles. ISIT 2019 - IEEE International Symposium on Information Theory, Jul 2019, Paris, France. pp.121-125, ⟨10.1109/ISIT.2019.8849230⟩. ⟨hal-04884930⟩
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