DyMo：大规模LTE组播系统的动态监控
DyMo: Dynamic Monitoring of Large Scale LTE-Multicast Systems
摘要：
LTE演进的多媒体广播/多播服务（eMBMS）是用于在拥挤的场所中向非常大的群组进行视频递送的有吸引力的解决方案。然而，由于缺乏来自用户设备（UE）的实时反馈，eMBMS系统的部署和管理具有挑战性。因此，我们提出了低开销的反馈收集的动态监控（DyMo）系统。DyMo利用eMBMS向所有UE广播随机组指令。这些指令指示作为所观察到的服务质量（QoS）的函数的报告速率。这种简单的反馈机制从UE收集非常有限的QoS报告。这些报告用于网络优化，从而确保UE的高QoS。我们提出的DyMo的设计方面，并通过分析和广泛的模拟评估其性能。具体来说，我们表明，DyMo推断出最佳的eMBMS设置具有极低的开销，同时满足严格的QoS要求下，不同的UE移动模式和存在的网络组件故障。例如，DyMo可以检测具有0.05%的均方根误差（RMSE）的0.1%百分位数的UE所经历的eMBMS信噪比（SNR），每秒仅具有5到10个报告，而不管UE的数量。
英文摘要：
LTE evolved Multimedia Broadcast/Multicast Service (eMBMS) is an attractive solution for video delivery to very large groups in crowded venues. However, deployment and management of eMBMS systems is challenging, due to the lack of realtime feedback from the User Equipment (UEs). Therefore, we present the Dynamic Monitoring (DyMo) system for low-overhead feedback collection. DyMo leverages eMBMS for broadcasting Stochastic Group Instructions to all UEs. These instructions indicate the reporting rates as a function of the observed Quality of Service (QoS). This simple feedback mechanism collects very limited QoS reports from the UEs. The reports are used for network optimization, thereby ensuring high QoS to the UEs. We present the design aspects of DyMo and evaluate its performance analytically and via extensive simulations. Specifically, we show that DyMo infers the optimal eMBMS settings with extremely low overhead, while meeting strict QoS requirements under different UE mobility patterns and presence of network component failures. For instance, DyMo can detect the eMBMS Signal-to-Noise Ratio (SNR) experienced by the 0.1% percentile of the UEs with Root Mean Square Error (RMSE) of 0.05% with only 5 to 10 reports per second regardless of the number of UEs.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
