一个权力意识的5G网络切片方案,用于具有年龄耐受性的IIoT系统
Mingjiang Weng1, Yixuan Bai1, Xin Xie2
1School of Communications and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China.
Sensors (Basel, Switzerland)
|November 27, 2025
概括
本研究介绍了一种改进的双重深度Q网络 (D3QN),用于工业物联网 (IIoT) 中的5G网络切片. 该方法有效地将传输功率降到最低,并确保满足信息时代 (AoI) 的限制.
科学领域:
- 计算机科学 计算机科学
- 电气工程 电气工程
背景情况:
- 网络切片可以为工业物联网 (IIoT) 提供定制的5G网络.
- 有效的资源管理对于IIoT的能源效率和实时需求至关重要.
- 在满足信息时代 (AoI) 的限制的同时,最大限度地降低电力消耗是关键的挑战.
研究的目的:
- 为5G无线网络切片开发一个智能调度方案.
- 为了最大限度地降低 IIoT 网络切片内的平均传输功率.
- 为了确保信息时代 (AoI) 的容忍限制得到满足.
主要方法:
- 利用改进的决斗双深Q网络 (D3QN) 来实现动态的资源分配.
- 实施一种新的基于启发式的探索策略,以优化学习步骤.
- 在时间变化的无线环境中模拟网络切片性能.
主要成果:
- 改进的D3QN方法显著加快了融合.
- 与现有方法相比,实现了较低的平均传输功率.
- 成功保持了严格的AoI可靠性和切片隔离.
结论:
- 拟议的基于D3QN的网络切片方案对IIoT应用有效.
- 该方法优化了5G网络的能源效率和实时性能.
- 它为AOI约束下动态资源配置提供了一个强大的解决方案.
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