继电器
计算机科学
软件部署
可靠性(半导体)
数学优化
趋同(经济学)
迭代法
可见光通信
最优化问题
延迟(音频)
实时计算
算法
电信
数学
工程类
电气工程
物理
操作系统
经济
功率(物理)
发光二极管
量子力学
经济增长
作者
Renhai Feng,Zeping Li,Qing Wang,Jianli Huang
标识
DOI:10.1109/lwc.2022.3153142
摘要
The main challenge for maintenance of distributed photovoltaic (PV) system lies in data collection. This letter considers unmanned aerial vehicle (UAV) to relay the maintenance data by visible light communication (VLC) under the requirements of ultra-reliability and low-latency. With finite blocklength, total error probability is minimized to ensure the system reliability by jointly optimizing blocklength allocation and UAV deployment. To search optimal solution, this letter divides the formulated problem into two sub-problems and proposes a global iterative algorithm based on alternating direction method of multipliers (ADMM) and random perturbation. Simulation results show that the proposed method is comparable to existing literature with better convergence and lower complexity.
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