Det-5G: Closing the Determinism Gap in 5G-Advanced for Industrial Closed-Loop Control

📅 2026-09-07
📈 Citations: 0
Influential: 0
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🤖 AI Summary
本文提出Deterministic-5G框架,通过统一的无线资源分配策略解决工业闭环控制中5G通信确定性不足的问题,提高了控制周期完成的可预测性和可靠性。
📝 Abstract
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.
Problem

Research questions and friction points this paper is trying to address.

uRLLC
closed-loop control
predictable time bounds
channel conditions
multi-device contention
Innovation

Methods, ideas, or system contributions that make the work stand out.

Deterministic-5G
closed-loop control
predictable cycle completion
adaptive bundled transmissions
optimized multi-user scheduling
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