Journal Article

Adaptive Network Slicing and LSTM‐Based Resource Allocation for Real‐Time Industrial Robot Control in 6G Networks

Zhu, Mengyue, Li, Yuanzhe, Zhang, Laifeng, Shi, Tingting, Chen, Xiang, Wang, Bin, Lai, Yanqing

2025

Overview

The deployment of industrial robots in time‐critical applications demands ultra‐low latency and high reliability in communication systems. This study presents a novel delay optimisation framework for industrial robot control systems using 6G network slicing technologies. A Gale–Shapley (GS)‐based elastic switching model is proposed to dynamically match robot controllers to optimised network slices and base stations under latency‐sensitive conditions. To enhance resource adaptability, a long short‐term memory (LSTM)‐based encoder‐decoder structure is developed for predictive resource allocation across slices. The proposed integrated matching mechanism achieves a success rate of 91.16% for slice access and a base station access rate of 90.83%, outperforming conventional integrated and two‐stage schemes. The LSTM‐based resource allocation achieves a mean absolute error of 0.04 and a violation rate below 10%, with over 92% utilisation of both node and link resources. Experimental simulations demonstrate a consistent end‐to‐end latency below 7 ms and a throughput of 18.4 Mbit/s, validating the proposed models' effectiveness in ensuring robust, real‐time communication for industrial robot operations. This research contributes a scalable solution for dynamic 6G network resource management, providing a foundation for advanced industrial automation and intelligent manufacturing. A novel elastic switching model based on the Gale–Shapley (GS) algorithm and a resource allocation model grounded in an LSTM encoder‐decoder structure, tailored for 6G network slicing scenarios. Through extensive simulations, our model demonstrates a 91.16% slice access success rate, average latency below 5 ms, and resource utilisation exceeding 92%, outperforming conventional integrated matching and static allocation methods.

• Publisher: John Wiley & Sons, Inc
• Subject: 6G mobile communication / 6G network slicing / Artificial intelligence / Automation / Communication / Communications systems / Control algorithms / Delay optimization / Elastic switching / Energy consumption / Gale‐Shapley algorithm / Industrial robot control / Industrial robots / Intelligent manufacturing systems / LSTM / Network latency / Network slicing / Remote control / Resource allocation / Resource management / Resource prediction / Robot control / Robots / System reliability