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Multivariate EVT Based Completion Time Analysis and Optimization for Aerial Broadcasting Systems

  • Beijing Institute of Technology

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

With the rapid development of large-scale Internet of Things (IoT) technologies, information broadcasting towards massive IoT terminals becomes increasingly important for efficiently distributing shared content within communication networks. Completion time of information broadcasting is a critical performance metric in such system, which is investigated in this paper for a dual-Unmanned Aerial Vehicle (UAV) broadcasting system. First, the system model of the dual-UAV broadcast is established and the completion time of the broadcast is analyzed via the multivariate Extreme Value Theory (EVT). The expected completion time is then derived, based on which, a joint broadcast strategy selection and the UAV placement optimization algorithm is proposed. Simulation results across different Signal-to-Noise Ratio (SNR) levels, user distributions, and task allocations confirm that the proposed method could approach the optimal broadcast completion time and adapts effectively to a variety of practical scenarios.

源语言英语
主期刊名ADMIT 2025 - Conference Proceedings
主期刊副标题2025 4th International Conference on Algorithms, Data Mining, and Information Technology
出版商Institute of Electrical and Electronics Engineers Inc.
ISBN(电子版)9798331503789
DOI
出版状态已出版 - 2025
已对外发布
活动2025 4th International Conference on Algorithms, Data Mining, and Information Technology, ADMIT 2025 - Chengdu, 中国
期限: 24 10月 202526 10月 2025

出版系列

姓名ADMIT 2025 - Conference Proceedings: 2025 4th International Conference on Algorithms, Data Mining, and Information Technology

会议

会议2025 4th International Conference on Algorithms, Data Mining, and Information Technology, ADMIT 2025
国家/地区中国
Chengdu
时期24/10/2526/10/25

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