论文标题
对未来电视驾驶的预测QoS的系统建模和性能评估
System Modeling and Performance Evaluation of Predictive QoS for Future Tele-Operated Driving
论文作者
论文摘要
未来的电视驾驶(TOD)应用程序对现有的移动通信网络提出了具有挑战性的服务质量(QoS)需求,这对于安全操作非常重要。新的遥控和排量服务将出现并提出高数据速率和延迟要求。这些应用程序的一个关键推动因素是与前任相比,新近获得的5G新广播(NR)有望更高的带宽和更低的延迟。除此之外,公共5G网络不会始终如一地提供,也不能保证TOD的所需数据速率和延迟。在本文中,我们讨论了与传播驾驶的沟通相关要求。 TOD被认为是由多个研究领域组成的复杂系统。 TOD的一个关键方面是移动网络对远程操作所需的数据速率的提供和维护。讨论了基于所谓的无线电环境图(REMS)的端到端数据速率的潜在预测方法。此外,引入了一种新颖的方法来提高预测准确性,并具有单独优化的REM层。最后,我们分析了在规模的车辆平台上的实施,并结合了由真实和虚拟物体组成的网络物理测试环境。这种方法可以对远程操作和自动应用程序进行大规模测试。
Future Tele-operated Driving (ToD) applications place challenging Quality of Service (QoS) demands on existing mobile communication networks that are of highly important to comply with for safe operation. New remote control and platooning services will emerge and pose high data rate and latency requirements. One key enabler for these applications is the newly available 5G New Radio (NR) promising higher bandwidth and lower latency than its predecessors. In addition to that, public 5G networks do not consistently deliver and do not guarantee the required data rates and latency of ToD. In this paper, we discuss the communication-related requirements of tele-operated driving. ToD is regarded as a complex system consisting of multiple research areas. One key aspect of ToD is the provision and maintenance of the required data rate for teleoperation by the mobile network. An in-advance prediction method of the end-to-end data rate based on so-called Radio Environmental Maps (REMs) is discussed. Furthermore, a novel approach improving the prediction accuracy is introduced and it features individually optimized REM layers. Finally, we analyze the implementation of tele-operated driving applications on a scaled vehicular platform combined with a cyber-physical test environment consisting of real and virtual objects. This approach enables large-scale testing of remote operation and autonomous applications.