发表机构
Toshiba Europe Ltd.（东芝欧洲有限公司）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
Det-5G提出面向周期的统一无线资源分配框架，通过协调上下行调度、捆绑传输等机制，提升5G闭环控制周期完成的确定性，并有效扩展到多设备场景。
AI 中文摘要
5G的超可靠低延迟通信（uRLLC）能力为工业无线连接创造了重大机遇，但蜂窝网络在闭环控制中的广泛使用仍面临挑战。闭环控制不仅需要低数据包延迟和高可靠性：周期性的命令/反馈交换必须在可预测的时间界限内完成，尽管存在变化的信道条件、恢复传输、移动性和多设备竞争。本文介绍了确定性5G（Deterministic-5G，Det-5G），一种用于工业闭环控制的统一无线电资源分配框架。Det-5G将完整的双向控制周期作为调度对象，并结合了协调的下行/上行分配、自适应捆绑传输、面向组的下行通信以及优化的多用户上行调度，这些均基于5G空中接口。其性能通过闭式分析和蒙特卡洛调度实验相结合的方式进行评估，并与传统的基于动态授权的调度、半持久调度/配置授权操作以及固定主动重复进行比较。评估表明，Det-5G提高了周期完成的可预测性，在变化的链路条件下维持目标可靠性，并且比传统的反应式调度更有效地扩展到多设备控制，同时调整无线电资源使用，而不是像固定重复那样持续为最坏情况配置资源。这些特性使面向周期的调度成为减少确定性差距的实用解决方案，该差距限制了5G在不同垂直行业中用于闭环控制，尤其是在其通过5G-Advanced向6G演进的过程中。
英文摘要
The ultra-reliable low-latency communication (uRLLC) capability of 5G has created significant opportunities for industrial wireless connectivity, yet widespread use of cellular networks for closed-loop control remains challenging. Closed-loop control requires more than low packet latency and high reliability: cyclic command/feedback exchanges must complete within predictable time bounds despite changing channel conditions, recovery transmissions, mobility, and multi-device contention. This paper introduces Deterministic-5G (Det-5G), a unified radio resource allocation framework for industrial closed-loop control. Det-5G treats the complete bidirectional control cycle as the scheduling object and combines coordinated downlink/uplink allocation, adaptive bundled transmissions, group-oriented downlink communication, and optimized multi-user uplink scheduling over 5G air-interface. Its performance is evaluated through a combination of closed-form analysis and Monte Carlo scheduling experiments, with comparisons against conventional dynamic grant-based scheduling, semi-persistent scheduling/configured grant operation, and fixed proactive repetition. The evaluation shows that Det-5G improves predictability of cycle completion, maintains the target reliability under changing link conditions, and scales more effectively to multi-device control than conventional reactive scheduling, while adapting radio resource use instead of continuously provisioning for the worst case as in fixed repetition. These characteristics make cycle-oriented scheduling a pragmatic solution for reducing the determinism gap that limits the use of 5G for closed-loop control in different verticals, especially as it evolves through 5G-Advanced toward 6G.
CommentsAccepted for publication in the IEEE Next Generation Communications (NextGCom) conference 2026
