发表机构
Idaho National Laboratory（爱达荷国家实验室）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
本文提出一种控制理论方法，通过建模阈值智能体为死区控制器，推导兼容性条件，实现智能体共享RAN参数控制，减少冲突，仿真验证接近零SLA漂移。
AI 中文摘要
解聚移动网络为独立智能体控制无线接入网（RAN）开放了接口。具有不同目标的智能体之间的交互可能导致冲突。然而，现有的冲突缓解方法将控制同一参数的智能体视为需要仲裁其行动的冲突，而不评估其目标是否能同时满足。在本文中，我们引入了一种控制理论方法来确定智能体何时可以共存并共享对同一参数的控制。我们将文献中常见的基于阈值的智能体建模为采样死区反馈控制器，并通过关键性能指标（KPI）目标值和容差来表示其目标，这些目标值和容差定义了可接受的死区界限。我们从这些界限推导出兼容性条件，并表明对于任意数量的智能体和被监控的KPI，可以通过两两测试来建立兼容性。我们提出了一种冲突缓解策略，该策略允许兼容的智能体共享对相同网络参数的控制，同时将仲裁限制在其目标无法同时满足的情况。我们通过使用NIST的ns-3的ns3-oran扩展进行仿真来评估我们的策略，结果表明，当智能体的目标兼容且共享可接受范围可达时，该策略使智能体能够以接近零的服务水平协议（SLA）漂移共享控制，而在目标不兼容时则与优先级缓解相匹配。
英文摘要
Disaggregated mobile networks expose open interfaces for independent agents to control the Radio Access Network (RAN). The interactions between agents with contrasting objectives can result in conflicts. However, existing conflict mitigation methods treat agents that control the same parameter as being in a conflict that requires arbitration of their actions, without assessing whether their objectives can be satisfied simultaneously. In this paper, we introduce a control-theoretic approach to determine when agents can coexist and share control of the same parameters. We model threshold-based agents often encountered in the literature as sampled deadband feedback controllers and represent their objectives through Key Performance Indicator (KPI) targets and tolerances that define acceptable deadband bounds. We derive compatibility conditions from these bounds and show that compatibility for any number of agents and monitored KPIs can be established through pairwise tests. We propose a conflict mitigation policy that allows compatible agents to share control of the same network parameters while restricting arbitration to cases where their objectives cannot be satisfied simultaneously. We evaluate our policy through simulations using NIST's ns3-oran extension of ns-3, and our results show that it enables agents to share control with near-zero Service Level Agreement (SLA) drift when their objectives are compatible and the shared acceptable range is attainable, while matching Priority Mitigation when their objectives are incompatible.
