摘要
文章提出支持应急通信的认知网络体系结构与模型,以及在此基础上涉及的认知模型服务质量控制和优化策略、智能决策和学习算法,目标在于通过对网络环境状态的观察和学习,智能决策并自适应调整节点行为,进而达到对网络性能的优化。
This article describes the cognitive network architecture and module for emergency communications. A cognitive module for Quality of Service (QoS) control, optimization strategy, intelligent decision-making, and learning algorithm is also proposed. Such a module can improve network performance by learning the state of the network environment, making intelligent decisions, and applying adaptive behavior.
出处
《中兴通讯技术》
2010年第5期37-41,共5页
ZTE Technology Journal
基金
中央高校基本科研业务费专项资金(2009RC0217)
关键词
认知网络
QOS技术
认知模型
智能决策
cognitive network
QoS technology
cognitive model
intelligent decision