In this paper, we address the problem of devising a Quality of Experience (QoE) aware flight plan for UAV mounted Base Station within heterogeneous networks. Specifically, we propose a QoE aware flight planning algorithm leveraging the well established Q-learning approach and introducing a reward related to relevant QoE metrics. Numerical simulation results show the effectiveness of the QoE-aware learning algorithm to devise a flight path such that the UAVs mounted Base Station actually improves the QoE of the heterogeneous network users.
Qoe-aware UAV flight path design for mobile video streaming in HetNet / Colonnese, Stefania; Carlesimo, Andrea; Brigato, Lorenzo; Cuomo, Francesca. - (2018), pp. 301-305. (Intervento presentato al convegno 2018 IEEE 10th Sensor Array and Multichannel Signal Processing Workshop (SAM) tenutosi a Sheffield; England).
Qoe-aware UAV flight path design for mobile video streaming in HetNet
Stefania Colonnese
;Andrea Carlesimo;Lorenzo Brigato;Francesca Cuomo
2018
Abstract
In this paper, we address the problem of devising a Quality of Experience (QoE) aware flight plan for UAV mounted Base Station within heterogeneous networks. Specifically, we propose a QoE aware flight planning algorithm leveraging the well established Q-learning approach and introducing a reward related to relevant QoE metrics. Numerical simulation results show the effectiveness of the QoE-aware learning algorithm to devise a flight path such that the UAVs mounted Base Station actually improves the QoE of the heterogeneous network users.File | Dimensione | Formato | |
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