认知自治网络协调机制的必要性与设计
On the Necessity and Design of Coordination Mechanism for Cognitive Autonomous Networks
摘要：
认知自治网络（CAN）被提升为自组织网络（SON），用认知功能（CF）取代基于规则的SON功能（SF），通过与网络交互来学习最佳行为。如在SON中一样，CF确实由于参数或目标的重叠而遇到冲突。然而，由于CF的非确定性行为，这些冲突不能使用基于规则的方法来解决，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，并从理论上和数学上证明了需要协调机制。使用两个CF多智能体系统模型的可能类型的冲突，我们表明，挑战是一个典型的讨价还价的问题，其最佳响应是纳什讨价还价的解决方案（NBS）。我们使用NBS提出了一个协调机制设计，能够解决冲突，并通过模拟显示如何实施所提出的解决方案是可行的，在现实生活中的场景。
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
