论文标题
运行认知控制器
RAN Cognitive Controller
论文作者
论文摘要
认知自主网络（CAN）部署基于学习的认知功能（CF），而不是传统的基于规则的SON函数（SF）作为网络自动化功能（NAF），以增加系统自主权。这些CFS可以并行共享相同的资源，这些资源引起了它们之间的冲突，这些资源无法使用常规规则的方法解决。我们的主要目标是设计一个控制器，该控制器可以以动态方式解决CFS之间的任何类型的冲突。
Cognitive Autonomous Networks (CAN) deploys learning based Cognitive Functions (CF) instead of conventional rule-based SON Functions (SF) as Network Automation Functions (NAF) to increase the system autonomy. These CFs work in parallel sharing the same resources which give rise to conflicts among them which cannot be resolved using conventional rule based approach. Our main target is to design a Controller which can resolve any type of conflicts among the CFs in a dynamic way.
