信息与控制2025，Vol.54Issue(2)：251-263,13.DOI:10.13976/j.cnki.xk.2024.0271
多UAV和NOMA赋能的IoT数据采集系统中资源分配
Resource Allocation for Multi-UAV and NOMA-enabled IoT Data Collection System
摘要
Abstract
To improve the transmission performance of multiunmanned aerial vehicle-assisted,non-or-thogonal multiple access(NOMA)-enabled Internet-of-things(IoT)data collection systems,we explore the joint optimization of user association,three-dimensional placement of UAV,decoding order,and power allocation.Our goal is to maximize the sum proportional data rate of all IoT de-vices using a probabilistic channel model.To cope with this mixed-integer nonconvex programming problem,we propose a resource allocation strategy based on an alternating optimization algorithm.This approach employs fractional programming theory,neurodynamic theory,and convex optimiza-tion theory to address the the sub-problems concerning each type of resource allocation variables.Simulation results show that the proposed strategy improves transmission performance by 9.60%compared with the existing K-means algorithm-based strategy.Moreover,it significantly reduces computation time by 99.33%compared with the global-optimal strategy,with only 0.26%compro-mise on optimized performance.关键词
无人机集群/非正交多址接入/分式规划/神经动力学/凸优化Key words
unmanned aerial vehicle swarm/non-orthogonal multiple access/fractional programming/neurodynamic theory/convex optimization分类
信息技术与安全科学引用本文复制引用
岳士博,唐睿,张睿智,马辽,刘佳,刘川,庞川林..多UAV和NOMA赋能的IoT数据采集系统中资源分配[J].信息与控制,2025,54(2):251-263,13.基金项目
国家自然科学基金项目(62301450) （62301450）
四川省自然科学基金项目(2024NSFSC1420) （2024NSFSC1420）
四川省科技厅国际港澳台科技创新合作项目(2023YFH0092) （2023YFH0092）
西华师范大学校级基本科研业务费资金(22kE007,23kq001) （22kE007,23kq001）
