论文标题
6G应用中端到端QoE的在线切片重新配置
Online Slice Reconfiguration for End-to-End QoE in 6G Applications
论文作者
论文摘要
6G应用程序的端到端（E2E）经验质量（QOE）取决于网络和计算资源的同步分配，也称为切片。但是，资源与E2E QoE结果之间的关系通常是随机的和非平稳的。现有作品考虑了已知资源要求切片和为切片重新配置的优化问题。在这项工作中，我们通过学习E2E QOE与资源之间的关系来创建和管理切片。我们开发了一种基于梯度的在线切片重新配置算法（OSRA），以重新配置和管理用于Reasucy限制的无线电访问网络（RAN）中的资源约束方案。我们观察到，与现有方法相比，我们的方法学的准确性很高。对于爆发的交通变化，现有方法的改进大约为98％。我们的算法具有快速的收敛性，并且在较低的优先级切片中实现了低E2E延迟违规行为。
End-to-end (E2E) quality of experience (QoE) for 6G applications depends on the synchronous allocation of networking and computing resources, also known as slicing. However, the relationship between the resources and the E2E QoE outcomes is typically stochastic and non-stationary. Existing works consider known resource demands for slicing and formulate optimization problems for slice reconfiguration. In this work, we create and manage slices by learning the relationship between E2E QoE and resources. We develop a gradient-based online slice reconfiguration algorithm (OSRA) to reconfigure and manage slices in resource-constrained scenarios for radio access networks (RAN). We observe that our methodology meets the QoE requirements with high accuracy compared to existing approaches. It improves upon the existing approaches by approximately 98\% for bursty traffic variations. Our algorithm has fast convergence and achieves low E2E delay violations for lower priority slices.
