电力信息与通信技术2026，Vol.24Issue(4)：33-43,11.DOI:10.16543/j.2095-641x.electric.power.ict.2026.04.05
空天地一体化网络性能优化的最新进展、挑战以及研究前景
The Advances,Challenges,and Research Prospects in Performance Optimization of Space-Air-Ground Integrated Networks
摘要
Abstract
Space-air-ground integrated networks(SAGIN)have emerged as a pivotal technology in propelling the development of sixth-generation(6G)mobile communications.This is achieved through the seamless integration of space-based,air-based,and ground wireless networks.SAGIN offers distinct advantages,enabling the extension of high-speed broadband services to remote and inaccessible regions.Nonetheless,SAGIN encounters several critical challenges during its practical operation.These challenges stem from the intricate nature of its architecture,along with the limited availability of resources such as power and storage.Specific challenges include multi-layer dynamic optimization,topological structure variations,and resource constraints.artificial intelligence(AI)-driven solutions,encompassing deep reinforcement learning(DRL)as well as supervised and unsupervised learning approaches,present promising avenues for addressing these challenges.By incorporating AI techniques,it becomes possible to collaboratively optimize core aspects of SAGIN,including network topology,scheduling strategies,resource allocation,routing mechanisms,and mobility management.This optimization process enhances SAGIN's decision-making and predictive capabilities,thereby improving its resilience in complex external environments.Maximizing the potential of SAGIN and ensuring its optimal implementation in terms of deployment,configuration,and design is of paramount importance.To this end,this paper provides a comprehensive overview of the latest advancements in optimizing key performance factors within SAGIN.It also conducts an in-depth analysis of the existing technical bottlenecks and offers insights into potential future research directions.关键词
空天地一体化网络(SAGIN)/卫星/高空平台(HAPs)/无人机(UAV)/人工智能(AI)Key words
space-air-ground integrated networks(SAGIN)/satellites/high altitude platforms(HAPs)/unmanned aerial vehicles(UAVs)/artificial intelligence(AI)分类
信息技术与安全科学引用本文复制引用
项栩琛,张慧,陆俊,徐高峰,段钧宝,张鹏程,谢民,李振伟..空天地一体化网络性能优化的最新进展、挑战以及研究前景[J].电力信息与通信技术,2026,24(4):33-43,11.基金项目
国家电网有限公司总部科技项目"面向密集输电线路状态感知与智能监测的立体通信网络关键技术研究"(5700-202420269A-1-1-ZN). （5700-202420269A-1-1-ZN）
