QoE-Driven Video Transmission: Energy-Efficient Multi-UAV Network Optimization

Kesong Wu, Xianbin Cao, Peng Yang, Zongyang Yu, Dapeng Oliver Wu, Tony Q.S. Quek

研究成果: Article同行評審


This article is concerned with the issue of improving video subscribers' quality of experience (QoE) by deploying a multi-unmanned aerial vehicle (UAV) network. Different from existing works, we characterize subscribers' QoE by video bitrates, latency, and frame freezing and propose to improve their QoE by energy-efficiently and dynamically optimizing the multi-UAV network in terms of serving UAV selection, UAV trajectory, and UAV transmit power. The dynamic multi-UAV network optimization problem is formulated as a challenging sequential-decision problem with the goal of maximizing subscribers' QoE while minimizing the total network power consumption, subject to some physical resource constraints. We propose a novel network optimization algorithm to solve this challenging problem, in which a Lyapunov technique is first explored to decompose the sequential-decision problem into several repeatedly optimized sub-problems to avoid the curse of dimensionality. To solve the sub-problems, iterative and approximate optimization mechanisms with provable performance guarantees are then developed. Finally, we design extensive simulations to verify the effectiveness of the proposed algorithm. Simulation results show that the proposed algorithm can effectively improve the QoE of subscribers and is 66.75% more energy-efficient than benchmarks.

頁(從 - 到)366-379
期刊IEEE Transactions on Network Science and Engineering
出版狀態Published - 2024 1月 1

All Science Journal Classification (ASJC) codes

  • 控制與系統工程
  • 電腦科學應用
  • 電腦網路與通信


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