论文标题
关于认知自主网络的协调机制的必要性和设计
On the Necessity and Design of Coordination Mechanism for Cognitive Autonomous Networks
论文作者
论文摘要
认知自主网络（CAN）被提升为推进自组织网络（SON），用认知功能（CFS）代替基于规则的儿子功能（SFS），这些功能通过与网络进行交互来学习最佳行为。与儿子一样，由于参数或目标的重叠，CFS确实会遇到冲突。但是，由于CFS的非确定性行为，无法使用基于规则的方法和新的解决方案来解决这些冲突。本文通过有或没有协调机制调查了CF部署，并在数学上均以启发式证明需要协调机制。使用具有可能的冲突类型的两-CF多代理系统模型，我们表明挑战是一个典型的谈判问题，最佳响应是NASH谈判解决方案（NBS）。我们使用NBS提出了一种能够解决冲突并通过模拟显示的协调机制设计，在现实生活中，提出的解决方案的实施是如何可行的。
Cognitive Autonomous Networks (CAN) are promoted to advance Self Organizing Network (SON), replacing rule-based SON Functions (SFs) with Cognitive Functions (CFs), which learn optimal behavior by interacting with the network. As in SON, CFs do encounter conflicts due to overlap in parameters or objectives. However, owing to the non-deterministic behavior of CFs, these conflicts cannot be resolved using rulebased methods and new solutions are required. This paper investigates the CF deployments with and without a coordination mechanism, and proves both heuristically and mathematically that a coordination mechanism is required. Using a two-CF Multi-Agent-System model with the possible types of conflicts, we show that the challenge is a typical bargaining problem, for which the optimal response is the Nash bargaining Solution (NBS). We use NBS to propose a coordination mechanism design that is capable of resolving the conflicts and show via simulations how implementation of the proposed solution is feasible in real life scenario.
