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作 者:赵洋 管荑 赵晓红 任天成 王文婷 ZHAO Yang;GUAN Ti;ZHAO Xiaohong;REN Tiancheng;WANG Wenting(State Grid Shandong Electric Power Research Institute,Jinan 250003,Shandong Province,China;State Grid Shandong Electric Power Company,Jinan 250003,Shandong Province,China)
机构地区:[1]国网山东省电力公司电力科学研究院,山东省济南市250003 [2]国网山东省电力公司,山东省济南市250003
出 处:《电力信息与通信技术》2025年第1期54-59,共6页Electric Power Information and Communication Technology
基 金:国家电网有限公司总部科技项目资助“5G调控业务安全防护关键技术研究”(5700-202118444A);国网山东省电力公司科技项目“智能电网5G安全接入及数据可信共享关键技术研究课题2:智能电网中的5G通信与可信WLAN技术融合应用研究”(520626220017)。
摘 要:多路径并行传输协议(multi-path transfer control protocol,MPTCP)是当前在异构网络中执行垂直切换时采用的重要策略之一,良好的拥塞控制策略可降低异构网络垂直切换过程中的网络吞吐量波动问题。文章基于强化学习的思想,构建了面向MPTCP的拥塞控制策略生成机制,并将其应用到电力物联网异构网络垂直切换。主要贡献是:基于MPTCP构建强化学习环境,将异构网络时变属性作为环境要素,MPTCP的拥塞控制策略作为智能体行为策略。智能体和异构网络仿真环境的通过垂直切换的执行实现交互学习,生成最优的拥塞控制策略;基于改进后的MPTCP拥塞控制策略实现异构网络的垂直切换,优化异构网络的网络切换进程。仿真及实际场景的测试结果显示,所提方法在电力物联网异构网络切换过程中避免了数据断点,有效降低了异构网络切换过程中的吞吐量波动情况。The MPTCP is one of the important strategies currently used for vertical switching in heterogeneous networks.A fluctuations of network throughput during vertical switching in heterogeneous networks can be reduced by a congestion control strategy.In this paper,a congestion control strategy generation mechanism for MPTCP based on reinforcement learning is proposed,and applies it to the heterogeneous network vertical switching of power Internet of Things.The main contributions of this paper are as follows:1)Reinforcement learning environment based on MPTCP is constructed with taking heterogeneous network time-varying attributes as environment elements,and MPTCP congestion control policy as agent behavior policy.Interactive learning between the agent and heterogeneous network simulation environment is realized through the execution of vertical switching,and the optimal congestion control strategy is generated.2)Vertical switching of heterogeneous networks based on the improved MPTCP congestion control strategy is realized,and the network switching process of heterogeneous networks is optimized.Simulation and actual test results show that the proposed method avoids data breakpoints in the heterogeneous network switching process of power IoT,and effectively reduces throughput fluctuation during the heterogeneous network switching process.
分 类 号:TN915.853[电子电信—通信与信息系统]
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