TY - GEN
T1 - Multivariate EVT Based Completion Time Analysis and Optimization for Aerial Broadcasting Systems
AU - Liu, Shuai
AU - Chen, Zikang
AU - Tang, Shuntian
AU - Zheng, Zhong
N1 - Publisher Copyright:
© 2025 IEEE.
PY - 2025
Y1 - 2025
N2 - 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.
AB - 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.
KW - Unmanned Aerial Vehicle communication
KW - broadcast completion time
KW - multivariate extreme value theory
KW - placement optimization
UR - https://www.scopus.com/pages/publications/105033531768
U2 - 10.1109/ADMIT67050.2025.11336853
DO - 10.1109/ADMIT67050.2025.11336853
M3 - Conference contribution
AN - SCOPUS:105033531768
T3 - ADMIT 2025 - Conference Proceedings: 2025 4th International Conference on Algorithms, Data Mining, and Information Technology
BT - ADMIT 2025 - Conference Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2025 4th International Conference on Algorithms, Data Mining, and Information Technology, ADMIT 2025
Y2 - 24 October 2025 through 26 October 2025
ER -