Mobile Edge Computing (MEC) is expected to play a significant role in the development of 6G networks, as new applications such as cooperative driving and eXtended Reality (XR) require both communication and computational resources from the network edge. However, the limited capabilities of edge servers may be strained to perform complex computational tasks within strict latency bounds for multiple clients. In these contexts, both maintaining a low average Age of Information (AoI) and guaranteeing a low Peak AoI (PAoI) even in the worst case may have significant user experience and safety implications. In this work, we investigate a theoretical model of a MEC server, deriving the expected AoI and the PAoI and latency distributions under the First In First Out (FIFO) and Generalized Processor Sharing (GPS) resource allocation policies. We consider both synchronized and unsynchronized systems, and draw insights on the robust design of resource allocation policies from the analytical results.

翻译：移动边缘计算（MEC）有望在6G网络发展中发挥关键作用，因为协作驾驶、扩展现实（XR）等新兴应用需要网络边缘同时提供通信与计算资源。然而，边缘服务器有限的处理能力可能难以在严格时延约束下为多个客户端执行复杂计算任务。在此类场景中，维持较低的平均信息年龄（AoI）以及即使在最差情况下仍能保证较低的峰值信息年龄（PAoI），对用户体验和安全性具有显著影响。本研究构建了MEC服务器的理论模型，推导了在先入先出（FIFO）和广义处理器共享（GPS）资源分配策略下的期望AoI、PAoI及时延分布。我们同时考虑了同步与非同步系统，并从分析结果中提炼出资源分配策略鲁棒性设计的启示。