A QoE-Oriented Uplink Allocation for Multi-UAV Video Streaming

Sensors
Chao HeChang Tian

Abstract

Video streaming has become a kind of main information carried by Unmanned Aerial Vehicles (UAVs). Unlike single transmission, when a cluster of UAVs execute the real-time video shooting and uploading mission, the insufficiency of wireless channel resources will lead to bandwidth competition among them and the competition will bring bad watching experience to the audience. Therefore, how to allocate uplink bandwidth reasonably in the cluster has become a crucial problem. In this paper, an intelligent and distributed allocation mechanism is designed for improving users' video viewing satisfication. Each UAV in a cluster can independently adjust and select its video encoding rate so as to achieve flexible uplink allocation. This choice relies neither on the existence of the central node, nor on the large amount of information interaction between UAVs. Firstly, in order to distinguish video service from ordinary data, a utility function for the overall Quality of Experience (QoE) is proposed. Then, a potential game model is built around the problem. By a distributed self-learning algorithm with low complexity, all UAVs can iteratively update their own bandwidth strategy in a short time until equilibria, thus achieving the total qua...Continue Reading

References

Sep 21, 2004·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·Zhou WangEero P Simoncelli
Oct 23, 2009·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·Kalpana Seshadrinathan, Alan Conrad Bovik
Feb 5, 2010·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·Kalpana SeshadrinathanLawrence K Cormack
May 13, 2014·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·Yen-Fu OuYao Wang
Nov 21, 2018·Sensors·Thomas LagkasPanagiotis Sarigiannidis

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