Beyond-5G (B5G) and 6G networks are expected to enable more complex industrial services, which often operate according to multi-phase workflows with phase-specific communication requirements. However, current interaction between applications and networks remains predominantly request-driven: Quality of Service (QoS) is requested at each workflow phase transition and evaluated independently, without explicit consideration of upcoming demand or network's near-term capability. This mismatch limits the ability of both sides to plan ahead, often resulting in foreseeable incompatibilities, even service disruptions. This article presents a capability-aware coordination framework for workflow-based industrial services. Within a bounded planning window, the network exposes the QoS profiles it can sustainably support, while the industrial side maps upcoming workflow phases to these disclosed capabilities and submits the resulting demand trajectory for joint assessment. The framework also supports coordinated updates when network conditions change during execution. An industrial video inspection case study on a real B5G system, complemented by large-scale simulation, illustrates that such coordination can improve service continuity, reduce disruptive rejections, and increase workflow completion under heavy load. The results suggest that future industrial networking should move beyond reactive per-request QoS handling toward forward-looking, capability-aware, workflow-level coordination.

翻译：超五代（B5G）与第六代（6G）网络预期将支撑起更为复杂的工业服务，这些服务通常按照多阶段工作流模式运行，各阶段具有特定的通信需求。然而，当前应用与网络间的交互仍以请求驱动为主导：在每个工作流阶段转换时单独请求服务质量（QoS）并独立评估，而未明确考虑后续需求或网络近期能力。这种不匹配限制了双方的提前规划能力，常导致可预见的不兼容性，甚至服务中断。本文提出一种面向能力的协调框架，用于基于工作流的工业服务。在有限规划窗口内，网络暴露其可持续支持的QoS剖面，而工业侧将即将到来的工作流阶段映射至这些公开能力，并提交由此产生的需求轨迹供联合评估。该框架还支持运行中网络条件变化时的协调更新。基于真实B5G系统的工业视频检测案例研究，辅以大规模仿真，表明此类协调能提升服务连续性、减少破坏性拒绝，并在高负载下提高工作流完成率。结果表明，未来工业网络应超越被动式逐请求QoS处理，转向前瞻性、能力感知的工作流级协调。