This paper studies Radio Access Network (RAN) slicing strategies for 5G Industry~4.0 networks with ultra-reliable low-latency communication (uRLLC) requirements. We compare four RAN slicing deployment options that differ in slice sharing and in the degree of per-line or per-flow isolation. Unlike prior works that assume a fixed slicing structure, this work addresses how RAN slicing should be instantiated in the presence of multiple production lines and heterogeneous industrial flows. A Stochastic Network Calculus (SNC)-based analytical framework and a heuristic slice planner are used to evaluate per-flow delay guarantees and radio resource utilization. Within the considered RAN-level analytical model, the results show that, under resource scarcity, only per-flow slicing prevents delay violations, whereas slice-sharing and hybrid deployments improve aggregation efficiency at the cost of weaker protection for the most delay-critical flows. Execution-time results show that the proposed planner operates at non-real-time (Non-RT) time scales, supporting its implementation as an rApp within Open RAN (O-RAN) Non-RT RAN Intelligent Controller (RIC) control loops.

翻译：本文研究了面向工业4.0网络中具有超可靠低延迟通信（uRLLC）需求的5G无线接入网（RAN）切片策略。我们比较了四种在切片共享以及每条产线或每条流的隔离程度上有所差异的RAN切片部署方案。与先前假设固定切片结构的研究不同，本文探讨了在存在多条生产线和异构工业流的情况下应如何实例化RAN切片。我们采用基于随机网络演算（SNC）的分析框架和启发式切片规划器来评估每条流的延迟保障和无线资源利用率。在所考虑的RAN级分析模型中，结果表明：在资源稀缺情况下，只有逐流切片能防止延迟违规；而切片共享和混合部署虽能提升聚合效率，但代价是对最延迟敏感流的保护能力较弱。执行时间结果表明，所提出的规划器可在非实时（Non-RT）时间尺度上运行，支持其作为rApp部署于开放式RAN（O-RAN）的非实时RAN智能控制器（RIC）控制环路中。