电讯技术2026，Vol.66Issue(2)：163-172,10.DOI:10.20079/j.issn.1001-893x.240925004
空天通信中动态资源分配算法
Dynamic Resource Allocation Algorithm in Space-Air Networks
摘要
Abstract
To meet the requirement of ultra-reliable low-latency communication in space-air networks,a low Earth orbit(LEO)satellite mobility model and a downlink communication model for in-cabin and out-of-cabin scenarios are constructed.Under the constraints of bandwidth-sensitive user's capacity and data backlog,a joint allocation problem of power and channel resources is studied to minimize the average transmission latency for latency-sensitive users.A deep Q-network(DQN)algorithm is proposed to address the dynamic resource allocation problem.This method combines reinforcement learning with neural networks,using the network states such as the subchannel states of the LEO satellite and the channel states of onboard access points as the state space.The connection relationships of LEO satellite subchannels,the subchannel power allocation of the LEO satellite,and the power allocation schemes for onboard users are taken as the action space.The average transmission latency of delay-sensitive users is the reward function,enabling adaptive adjustment of the optimal allocation scheme according to the dynamic environment.The simulation results show that in the dynamic environment of space-air communication,the proposed algorithm,compared with traditional algorithms,can reduce transmission latency by 15.4%.关键词
低轨卫星通信/空天通信/高动态网络/动态资源分配/深度Q网络Key words
LEO satellite communication/space-air communication/high dynamic network/dynamic resource allocation/deep Q-network分类
信息技术与安全科学引用本文复制引用
施建锋,陆晨,李宝龙..空天通信中动态资源分配算法[J].电讯技术,2026,66(2):163-172,10.基金项目
国家自然科学基金资助项目(62201274,62201275) （62201274,62201275）
