C-RSMA辅助数字孪生网络联合设备配对的资源分配方法及系统

By using the C-RSMA-assisted resource allocation method for digital twin networks, combined with channel models and device pairing strategies, and performing alternating optimization of power, time, and computing resources, the problem of limited transmission performance of edge devices in digital twin networks is solved, and the system latency and resource utilization are improved, making it suitable for large-scale access scenarios.

CN122120923BActive Publication Date: 2026-07-17NANJING UNIV OF POSTS & TELECOMM

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
NANJING UNIV OF POSTS & TELECOMM
Filing Date
2026-04-30
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing multiple access and resource allocation schemes are difficult to adapt to the core characteristics of digital twin networks, resulting in limited transmission performance of edge devices, failure to meet the low latency requirements for real-time updates of the twin, and failure to achieve global joint optimization of device pairing, power, time, and computing resources, thus failing to support the large-scale commercial deployment of digital twin technology.

Method used

A resource allocation method for joint device pairing in C-RSMA-assisted digital twin networks is adopted. By constructing a digital twin network model based on cooperative rate split multiple access, combining the channel model and the device's native data requirements, a two-stage device pairing strategy is executed. Combined with the accuracy constraints of digital twin modeling, power, time, and computing resources are alternately optimized to form a multi-dimensional joint resource optimization framework.

Benefits of technology

While ensuring the minimum accuracy requirements of twin modeling, the overall generation latency of the digital twin system is minimized, improving system resource utilization and transmission reliability of edge devices, and adapting to commercial scenarios with large-scale access of multiple devices.

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Abstract

本发明公开了一种C‑RSMA辅助数字孪生网络联合设备配对的资源分配方法及系统,属于无线通信与数字孪生融合技术领域。本发明针对数字孪生网络多设备信道差异大、数据需求不均衡,且现有技术未结合建模精度约束导致数据冗余、系统时延过高的问题,首先构建C‑RSMA数字孪生上行传输系统模型,通过两阶段策略完成近端‑远端设备配对,结合建模精度约束确定设备最小传输数据量,再通过交替优化框架,分别完成功率分配、时间分配因子、计算资源的联合优化,最终实现数字孪生系统整体生成时延最小化。本发明可显著提升边缘设备传输可靠性与系统资源利用率,适配大规模多设备接入的数字孪生商用场景。
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