卫星光网络中基于DQN的匹配度感知波长路由算法OA北大核心
Wavelength routing algorithm with matching degree awareness based on DQN in satellite optical networks
为了进一步降低卫星光网络的业务阻塞率,提出了一种基于深度Q网络(DQN)的匹配度感知波长路由算法.该算法首先设计了路径波长匹配度因子,用以反映当前路径与下一跳节点之间链路的共同空闲波长情况.随后,算法综合考虑了路径波长匹配度、相邻链路时延以及下一跳节点到目的节点的最短跳数等多个因素,以此为基础来构造奖励函数.在分配波长时,为了后续业务请求在相邻链路上有更多的空闲波长,设计了相邻链路波长匹配度指标,用于描述该路径与其相邻链路之间的空闲波长对齐情况.仿真结果表明,该算法可以降低网络阻塞率和时延,提高波长利用率.
In order to further reduce the traffic blocking rate of satellite optical networks,this paper proposes a wavelength routing algorithm based on deep Q-networks(DQN)and matching perception.This algorithm first designs a path wavelength matching factor to reflect the common free wavelengths between the current path and the link of the next hop node.Subsequently,the algo-rithm takes into account multiple factors such as path wavelength matching,adjacent link delay,and the shortest number of hops from the next hop node to the destination node,and constructs a reward function based on these factors.When allocating wave-lengths,in order to have more free wavelengths on adjacent links for subsequent service requests,this paper designs an adjacent link wavelength matching index to describe the alignment of free wavelengths between the path and its adjacent links.The simu-lation results show that this algorithm can reduce network blocking rate and delay,and improve wavelength utilization.
艾琪洋;何荣希;林润峰
大连海事大学信息科学技术学院,辽宁大连 116026
电子信息工程
卫星光网络路由波长分配深度强化学习波长匹配度
satellite optical networksrouting and wavelength assignmentdeep reinforcement learningwavelength matching degree
《光通信技术》 2024 (003)
30-37 / 8
国家自然科学基金项目(61371091、61801074、62371085)资助;大连市科技创新基金项目(2019J11CY015)资助.
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