通过URLLC约束来最小化资源消耗,用于继电辅助的IIoT
Yujie Zhao1, Tao Peng1, Yichen Guo1
1School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China.
Sensors (Basel, Switzerland)
|August 14, 2025
概括
这项研究优化了继电辅助工业物联网 (IIoT) 系统中的数据包错误概率和块长度. 拟议的方法显著减少了资源消耗,同时满足了超可靠的低延迟通信 (uRLLC) 的需求.
科学领域:
- 无线通信工程 无线通信工程
- 事物的工业互联网 (IIoT)
- 资源优化 资源优化
背景情况:
- 在具有超可靠的低延迟通信 (uRLLC) 的工业物联网 (IIoT) 系统中,有限区块长度编码具有显著的资源限制.
- 继电器辅助通信架构对于在IIoT部署中扩展网络覆盖范围和可靠性至关重要.
研究的目的:
- 在中继辅助的IIoT系统中,共同优化数据包错误概率 (PEP) 和跨两跳链路的区块长度分配.
- 尽量减少总区块长度 (资源消耗),同时遵守 uRLLC 的严格可靠性,延迟和吞吐量要求.
主要方法:
- 多变量优化问题的分解成两个可处理的子问题:最大限度地提高固定的区块长度的可实现率,最大限度地减少总区块长度.
- 理论分析来得出接近最佳的PEP,并确定最佳区块长度分配的条件 (在麦之间等同可实现的速率).
- 使用两截式搜索方法最小化总区块长度,并推导出封闭形式的解决方案,以实现最佳的区块长度分配.
主要成果:
- 导出了接近最佳的PEP,将计算时间缩短了两个数量级,与详尽搜索相比,可实现的速率损失低于1%.
- 最佳的区块长度分配是通过在各个蜂中等同可实现的速率来实现的,优秀的道在峰值速率时需要更少的资源.
- 与三个基线算法相比,拟议的算法显示了21.40%,14.03%和17.18%的显著平均资源节约.
结论:
- 拟议的联合优化框架有效地将继电辅助IIoT uRLLC系统的资源消耗降至最低.
- 衍生的近最佳PEP和封闭形式的区块长度分配为资源有限的IIoT环境提供了实用和高效的解决方案.
- 该算法可以大幅节省资源,提高uRLLC服务在工业应用中的可行性.
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