6G应用中端到端QoE的在线切片重配置
Online Slice Reconfiguration for End-to-End QoE in 6G Applications
摘要：
6G应用的端到端（E2E）体验质量（QoE）取决于网络和计算资源的同步分配，也称为切片。然而，资源和E2E QoE结果之间的关系通常是随机的和非平稳的。现有的作品考虑已知的资源需求切片和制定切片重构的优化问题。在这项工作中，我们通过学习E2E QoE和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配置算法（OHRA），用于在无线电接入网络（RAN）资源受限的场景中重新配置和管理切片。我们观察到，与现有方法相比，我们的方法以高精度满足QoE要求。它改进了现有的方法，约98%的突发流量变化。我们的算法具有快速收敛，并实现低E2E延迟违规低优先级切片。
英文摘要：
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.
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