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.

中文翻译：

---

认知自治网络协调机制的必要性与设计

认知自治网络 (CAN) 被推广以推进自组织网络 (SON)，用认知功能 (CF) 取代基于规则的 SON 功能 (SF)，认知功能 (CF) 通过与网络交互来学习最佳行为。与 SON 一样，由于参数或目标的重叠，CF 确实会遇到冲突。然而，由于 CF 的非确定性行为，这些冲突无法使用基于规则的方法解决，需要新的解决方案。本文研究了有和没有协调机制的 CF 部署，并从启发式和数学上证明了需要协调机制。使用具有可能的冲突类型的双 CF 多代理系统模型，我们表明挑战是一个典型的讨价还价问题，其最佳响应是纳什讨价还价解决方案（NBS）。