通信学报2026，Vol.47Issue(1)：106-123,18.DOI:10.11959/j.issn.1000−436x.2026002
融合SDN与目标导向分层强化学习的覆盖组播路由方法
Goal-oriented hierarchical reinforcement learning-based overlay multicast routing method with SDN integration
摘要
Abstract
Traditional overlay multicast lacks effective awareness of underlying network states and adaptability to dynamic network conditions.Meanwhile,existing reinforcement learning–based routing methods often suffer from unstable learning and slow convergence due to coupled multicast tree paths and high-dimensional action spaces.To address these issues,this paper proposes an intelligent overlay multicast routing method based on goal-oriented hierarchical reinforcement learning,termed GOHRL-OM.By exploiting the global network visibility provided by software-defined networking(SDN),a dy-namic traffic matrix is constructed to support routing decisions with global information.GOHRL-OM integrates goal-oriented learning with hierarchical task decomposition to decouple routing optimization,reduce action dimensionality,and enhance learning stability.Simulation results show that,compared with existing methods,GOHRL-OM achieves improved throughput,lower delay,and reduced packet loss,while adapting effectively to dynamic network environments.关键词
软件定义网络/目标导向/分层强化学习/覆盖组播Key words
software defined network/goal-oriented/hierarchical reinforcement learning/overlay multicast分类
信息技术与安全科学引用本文复制引用
叶苗,李繁有,文鹏,蒋秋香,王勇,何倩,叶聪..融合SDN与目标导向分层强化学习的覆盖组播路由方法[J].通信学报,2026,47(1):106-123,18.基金项目
国家自然科学基金资助项目(No.62161006,No.62372353) （No.62161006,No.62372353）
广西研究生教育创新计划基金资助项目(No.YCSW2025351) （No.YCSW2025351）
桂林电子科技大学云网融合与数据安全广西高校工程研究中心(No.C25KYS00RX01) （No.C25KYS00RX01）
认知无线电与信息处理教育部重点实验室主任基金资助项目(No.CRKL220103)The National Natural Science Foundation of China(No.62161006,No.62372353),The Subsidization of Innova-tion Project of Guangxi Graduate Education(No.YCSW2025351),Guangxi University Engineering Research Center of Cloud Net-work Convergence and Data Security,Guilin University of Electronic Technology(No.C25KYS00RX01),Key Laboratory of Cogni-tive Radio and Information Processing,Ministry of Education(No.CRKL220103) （No.CRKL220103）
