Adaptive Bitrate Video Caching in UAV-Assisted MEC Networks Based on Distributionally Robust Optimization
文献类型：期刊论文
| 作者 | Chen, Yali1; Liu, Min1,2; Ai, Bo3,4,5; Wang, Yuwei1; Sun, Sheng1 |
| 刊名 | IEEE TRANSACTIONS ON MOBILE COMPUTING
 |
| 出版日期 | 2024-05-01 |
| 卷号 | 23期号:5页码:5245-5259 |
| 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) |
| ISSN号 | 1536-1233 |
| DOI | 10.1109/TMC.2023.3304624 |
| 英文摘要 | 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. |
| 资助项目 | National Key Research and Development Program of China |
| WOS研究方向 | Computer Science ; Telecommunications |
| 语种 | 英语 |
| WOS记录号 | WOS:001198016900034 |
| 出版者 | IEEE COMPUTER SOC |
| 源URL | [http://119.78.100.204/handle/2XEOYT63/39691]  |
| 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. |
入库方式： OAI收割
来源：计算技术研究所
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