面向共享O-RAN的公共安全MCX的E2条件有限时域有效容量
E2-Conditioned Finite-Horizon Effective Capacity for Public-Safety MCX over Shared O-RAN
AI总结：
针对共享O-RAN支撑公共安全MCX面临的有限时域保障及E2域异构问题，提出E2条件FH-EC框架，经MATLAB/ns-3评估验证其可提升MCX支撑能力并满足相关QoS与保护要求。
AI中文摘要：
在共享开放式无线接入网（O-RAN）上支撑公共安全关键任务服务（MCX），需要在有限的事件时间范围内提供服务保障，而普通移动业务会竞争相同资源，且异构E2域会呈现不同的观测结果、控制动作和执行延迟。现有的RAN关键性能指标是回顾性的，而传统有效容量表征的是渐近平稳状态，因此会忽略初始E2观测条件和有限的选择-执行瞬态。为解决该问题，本文提出一种面向共享O-RAN上公共安全MCX的E2条件有限时域有效容量（FH-EC）框架。具体而言，首先建立基于有限时域O-RAN MCX的服务模型，该模型纳入了E2观测的网络状态、控制执行延迟和关联感知的连接多样性。基于该模型，推导FH-EC公式，以表征有限任务时域内的可执行服务能力。此外，将FH-EC转换为置信度校准的能力轮廓，并开发MCX编排框架，该框架在近实时RAN智能控制器（RIC）处具备合同认证、共享资源保护以及FH-EC驱动的轮廓选择功能。结合MATLAB/ns-3的评估验证了预测的短时域状态和执行效果，结果显示，自适应连接选择可在O-DU性能下降时提升MCX支撑能力，同时满足配置的多QoS和非MCX保护要求。
英文摘要：
Supporting public-safety Mission Critical Services (MCX) over a shared Open radio access network (O-RAN) requires service assurance over finite incident horizons, while ordinary mobile traffic competes for the same resources and heterogeneous E2 domains expose different observations, control actions, and actuation latencies. Existing RAN key performance indicators are retrospective, whereas conventional effective capacity characterizes an asymptotic stationary regime and therefore suppresses both the initial E2-observed condition and the finite selection-to-actuation transient. To solve this problem, in this paper we develop an E2-conditioned finite-horizon effective capacity (FH-EC) framework for public-safety MCX over shared O-RAN. Specifically, we first establish a finite-horizon O-RAN MCX-based service model that incorporates E2-observed network states, control actuation latency, and correlation-aware connectivity diversity. Based on this model, we derive an FH-EC formulation that characterizes the executable service capability within a finite mission horizon. Furthermore, we transform FH-EC into confidence-calibrated capability profiles and develop an MCX orchestration framework with contract certification, shared-resource protection, and FH-EC-driven profile selection at the Near-RT RAN Intelligent Controller (RIC). Coupled MATLAB/ns-3 evaluations demonstrate the predicted short-horizon state and actuation effects and show that adaptive connectivity selection improves MCX supportability under O-DU degradation while satisfying the configured multi-QoS and non-MCX protection requirements.
