光通信技术2024，Vol.48Issue(1)：74-79,6.DOI:10.13921/j.cnki.issn1002-5561.2024.01.014
意图驱动光网络的冲突解决方法
Conflict resolution method of intention-driven optical network
摘要
Abstract
In intent-driven optical networks,due to the sudden increase in the number of intents sent at the same time or the limi-tation of underlying physical resources,some users'intent requests cannot be successfully connected,resulting in intent conflicts.In this paper,an intent-driven optical network conflict resolution method based on reinforcement learning is proposed.According to the user intention rollback policy output by reinforcement learning,the network demand index corresponding to the user inten-tion is updated,and the average quality of service(QoS)value in the current network is maximized on the premise of ensuring that the user intention can be successfully connected.The experimental results show that the proposed method can effectively im-prove the average QoS value of users in the current network environment and reduce the network blocking rate.关键词
意图驱动光网络/意图冲突/强化学习/用户协商/平均服务质量Key words
intention-driven optical network/intention-conflict/reinforcement learning/user negotiation/average quality of ser-vice分类
信息技术与安全科学引用本文复制引用
王寒凝,王江,齐钰,滕云,杨辉..意图驱动光网络的冲突解决方法[J].光通信技术,2024,48(1):74-79,6.基金项目
国家自然科学基金面上项目(62271075)资助. （62271075）
