Radio Channel Emulator

通信网络主席参与了许多关于5G和6G移动网络的研究项目，例如6G研究中心6GEM、DFG协作研究中心876、德国救援机器人中心dRZ和一些进一步的研究项目。在这项研究中，对经常动态变化的环境中的安全关键型应用的通信的性能评估起着重要的作用。研究工作的方法论基础是通过网络模拟、分析建模和实验室和现场实验的密切互动而形成的。这确保了所获得的结果的可信度和深入验证。拟议的研究仪器是一个无线信道模拟器，用于在实验室环境中动态和可重复地复制无线信道条件，从而成为各种模型设计和性能评估方法不可或缺的环节。无线信道仿真器能够对无线信道条件进行有目的和可重现的模拟，为众多研究问题提供广泛的见解，例如调查移动性对无线物联网通信系统能源效率的影响，研究联网移动机器人系统的高可靠通信，以及未来联网和自动驾驶的车辆到万物(V2X)通信。计划中的进一步研究包括调查移动性和干扰影响下的毫米波通信，以及使用机器学习概念针对动态信道条件进行稳健的5G网络切片。无线电频道模拟器将嵌入通信网络主席的实验室基础设施，以确保实验室工作人员的专业运作和持续准备状态。在此基础上，上述研究将与多特蒙德大学电气工程和信息技术、计算机科学和机械工程系的其他科学家密切合作，进行跨学科合作。

The Chair of Communication Networks is involved in numerous research projects on 5G and 6G mobile networks, e.g. in the 6G Research Hub 6GEM, in the DFG Collaborative Research Centre 876, in the German Rescue Robotics Center DRZ and a number of further research projects. The performance evaluation of communication for safety-critical applications in often dynamically changing environments plays a major role in this research. The methodological foundation of the research work is formed by close interaction of network simulations, analytical modeling, and experiments in the laboratory and in the field. This ensures the credibility and in-depth validation of the obtained results. The proposed research instrumentation is a radio channel emulator for dynamic and reproducible replication of radio channel conditions in the laboratory environment, thus forming an indispensable link for the various methods of model design and performance evaluation. The radio channel emulator enables the purposeful and reproducible emulation of radio channel conditions to provide a wide range of insights in numerous research questions, such as the investigation of the influence of mobility on the energy efficiency of wireless Internet-of-Things communication systems, research into highly reliable communication for networked mobile robotic systems, and vehicle-to-everything (V2X) communication for future connected and autonomous driving. Further planned research includes the investigation of millimeter-wave communication under the influence of mobility and interference as well as robust 5G network slicing for dynamic channel conditions using machine learning concepts. The radio channel emulator will be embedded in the laboratory infrastructure of the Chair of Communication Networks so that professional operation and continuous readiness are ensured by laboratory staff. On this basis, the outlined research will be carried out in close and interdisciplinary cooperation with other scientists of the TU Dortmund University from the faculties of Electrical Engineering and Information Technology, Computer Science, and Mechanical Engineering.