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

Chao He1,2, Zhidong Xie3,4, Chang Tian1

  • 1College of Communications Engineering, Army Engineering University of PLA, Nanjing 210007, China.

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Summary
This summary is machine-generated.

This study introduces a novel distributed mechanism for Unmanned Aerial Vehicle (UAV) clusters to optimize uplink bandwidth allocation for video streaming. The intelligent system enhances video Quality of Experience (QoE) without central control.

Keywords:
H.265QoEUAV clusterdistributed self-learning algorithmpotential gameuplink allocation

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Area of Science:

  • Computer Science
  • Electrical Engineering
  • Network Engineering

Background:

  • Unmanned Aerial Vehicles (UAVs) are increasingly used for real-time video streaming, presenting challenges in wireless channel resource allocation.
  • Bandwidth competition among UAVs in a cluster degrades video watching experience due to insufficient wireless resources.

Purpose of the Study:

  • To design an intelligent, distributed mechanism for optimizing uplink bandwidth allocation in UAV clusters.
  • To enhance users' video Quality of Experience (QoE) by enabling independent UAVs to adjust encoding rates.

Main Methods:

  • A utility function was developed to differentiate video services and quantify overall QoE.
  • A potential game model was formulated to address the bandwidth allocation problem.
  • A low-complexity, distributed self-learning algorithm was employed for iterative strategy updates until equilibrium.

Main Results:

  • The proposed algorithm converges to a set of correlation equilibria after a few iterations.
  • Numerical simulations validated the effectiveness of the distributed allocation mechanism.
  • The mechanism successfully optimizes total video quality and ensures service quality for wireless providers.

Conclusions:

  • The intelligent, distributed allocation mechanism effectively solves uplink bandwidth allocation for UAV video streaming.
  • The system achieves flexible uplink allocation without central nodes or extensive inter-UAV communication.
  • It guarantees improved QoE for viewers and reliable service differentiation for network providers.