挑战极限：关键任务机器类型通信的弹性测试
Pushing the Limits: Resilience Testing for Mission-Critical Machine-Type Communication
摘要：
跨学科的应用领域，如汽车、工业应用或现场机器人技术，显示出对即使在高负载条件下也能实现可靠和弹性的无线通信的日益增长的需求。这些任务关键型应用程序需要在延迟和特别是稳定性方面具有可靠的服务质量特性。目前的部署通常使用缺乏灵活性的有线链路，或者易受干扰的无线技术。根据应用程序和周围环境的不同，不同的技术可以满足相关的要求，必须经过精心测试，以防止意外的系统故障。为了以可重复和应用感知的方式对这些基础设施进行压力测试，我们提出了STING，一个空间分布的流量和干扰生成框架。STING在无人地面车辆的遥控测试案例中进行了评估，该无人地面车辆在搜索和救援任务中充当侦察员。干扰对远程控制体验质量的显著影响在不同运营商的测试中显示出来，这导致在无线电信道上具有高干扰的测试场景中完成时间增加了80%。通过这个案例研究，我们已经证明STING是一种可靠且可重复的方法，可以评估无线机器类型通信用例的抗干扰能力。我们的概念可以用于任何类型的无线技术，在未授权（例如Wi-Fi）以及授权频段（例如5G）中。
英文摘要：
Interdisciplinary application fields, such as automotive, industrial applications or field robotics show an increasing need for reliable and resilient wireless communication even under high load conditions. These mission-critical applications require dependable service quality characteristics in terms of latency and especially stability. Current deployments often use either wired links that lack the flexibility to accommodate them, or wireless technologies that are susceptible to interference. Depending on the application and the surrounding environments, different technologies can meet the associated requirements and have to be tested deliberately to prevent unexpected system failure. To stress test these infrastructures in a reproducible and application-aware manner, we propose STING, a spatially distributed traffic and interference generation framework. STING is evaluated in a remote control test case of an Unmanned Ground Vehicle that serves as a scout in Search and Rescue missions. A significant impact of interference on the remote control quality of experience is shown in tests with different operators, which result in an 80% increase in completion time in our test scenario with high interference on the radio channel. With this case study, we have proven STING to be a reliable and reproducible way to asses resilience against interference of wireless machine-type communication use cases. Our concept can find use for any type of wireless technology, in unlicensed (e.g. Wi-Fi) as well as licensed bands (e.g. 5G).
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。
