Adaptive Bitrate Video Caching in UAV-Assisted MEC Networks Based on Distributionally Robust Optimization

doi:10.1109/TMC.2023.3304624

	Adaptive Bitrate Video Caching in UAV-Assisted MEC Networks Based on Distributionally Robust Optimization
	Chen, Yali 1; Liu, Min 1,2; Ai, Bo 3,4,5; Wang, Yuwei 1; Sun, Sheng 1
	2024-05-01
发表期刊	IEEE TRANSACTIONS ON MOBILE COMPUTING
ISSN	1536-1233
卷号	23 期号:5 页码:5245-5259
摘要	To alleviate the pressure on the ground base station (BS) from intensive video requests, unmanned aerial vehicle (UAV)-assisted mobile edge computing (MEC) has become a promising and flexible solution. The UAV carries a MEC server to provide caching and transcoding services for adaptive bitrate video streaming, which can reduce duplicate transmissions of the BS and the content acquisition latency of users, while improving the flexibility of video delivery. However, considering the uncertainty of user requests and content popularity distribution, improving the robustness of video caching is a challenge to promote practical applications. Thus, by integrating caching and transcoding on the UAV, as well as backhaul retrieving, we study the bitrate-aware video caching and processing with uncertain popularity distribution. Then, the problem of joint cache placement and video delivery scheduling under the worst-case distribution is formulated to minimize the total expected system latency with energy consumption constrained. Specifically, we use sigma-structure probability metrics to characterize the uncertainty and construct confidence sets of arrival distribution. Furthermore, a distributionally robust latency optimization algorithm based on convex optimization theory is designed to obtain a robust solution. Finally, we conduct extensive simulations using real-world datasets to evaluate the effectiveness and robustness of the proposed scheme.
关键词	Streaming media Autonomous aerial vehicles Optimization Bit rate Servers Robustness Uncertainty Adaptive bitrate video caching mobile edge computing (MEC) optimization under uncertainty unmanned aerial vehicle (UAV)
DOI	10.1109/TMC.2023.3304624
收录类别	SCI
语种	英语
资助项目	National Key Research and Development Program of China
WOS研究方向	Computer Science ; Telecommunications
WOS类目	Computer Science, Information Systems ; Telecommunications
WOS记录号	WOS:001198016900034
出版者	IEEE COMPUTER SOC
引用统计
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/39692
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Liu, Min
作者单位	1.Chinese Acad Sci, Inst Comp Technol, Beijing 100190, Peoples R China 2.Univ Chinese Acad Sci, Zhongguancun Lab, Beijing 100049, Peoples R China 3.Beijing Jiaotong Univ, State Key Lab Rail Traff Control & Safety, Beijing 100044, Peoples R China 4.Zhengzhou Univ, Joint Int Res Lab Intelligent Networking & Data An, Zhengzhou 450001, Peoples R China 5.Peng Cheng Lab, Res Ctr Networks & Commun, Shenzhen 518000, Peoples R China
推荐引用方式 GB/T 7714	Chen, Yali,Liu, Min,Ai, Bo,et al. Adaptive Bitrate Video Caching in UAV-Assisted MEC Networks Based on Distributionally Robust Optimization[J]. IEEE TRANSACTIONS ON MOBILE COMPUTING,2024,23(5):5245-5259.
APA	Chen, Yali,Liu, Min,Ai, Bo,Wang, Yuwei,&Sun, Sheng.(2024).Adaptive Bitrate Video Caching in UAV-Assisted MEC Networks Based on Distributionally Robust Optimization.IEEE TRANSACTIONS ON MOBILE COMPUTING,23(5),5245-5259.
MLA	Chen, Yali,et al."Adaptive Bitrate Video Caching in UAV-Assisted MEC Networks Based on Distributionally Robust Optimization".IEEE TRANSACTIONS ON MOBILE COMPUTING 23.5(2024):5245-5259.