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).
翻译:汽车、工业应用或实地机器人等跨学科应用领域表明,即使在高负荷条件下,也越来越需要可靠和有弹性的无线通信,这些任务关键应用需要可靠的服务质量特征,包括隐蔽性,特别是稳定性。目前的部署经常使用缺乏灵活性的有线连接,或容易受到干扰的无线技术。视应用和周围环境而定,不同的技术可以满足相关要求,并必须经过有意测试,以防止意外的系统故障。为了以可复制和有应用意识的方式测试这些基础设施,我们建议采用一个空间分布的交通和干扰生成框架。对无人驾驶地面飞行器进行远程控制测试,作为搜索和救援任务的侦察员。干扰远程控制质量的重大影响体现在与不同操作员的测试中,这导致我们测试情景的完成时间增加80%,无线电频道受到高度干扰。我们通过这一案例研究证明,Stingling是一种可靠和可复制的方法,用以评估无线机型通信干扰的抗力。我们的概念可以作为无线机型G型通信的系统使用。我们的概念可以用来作为无线机型G。