Cellular-connected UAV systems have enabled a wide range of low-altitude aerial services. However, these systems still face many challenges, such as frequent handovers and the inefficiency of traditional transport protocols. To better study these issues, we develop a modular and scalable simulation platform specifically designed for UAVs communication leveraging the research ecology in wireless communication of MATLAB. The platform supports flexible 5G NR node deployment, customizable UAVs mobility models, and multi-network-interface extensions. It also supports multiple transport protocols including TCP, UDP, QUIC, etc., allowing to investigate how different transport protocols affect UAVs communication performance. In addition, the platform includes a handover management module, enabling the evaluation of both traditional and learning-based handover strategies. Our platform can serve as a testbed for the development and evaluation of advanced transmission strategies in cellular-connected UAV systems.

翻译：蜂窝网络连接的无人机系统已实现广泛低空航空服务，但这些系统仍面临频繁切换和传统传输协议效率低下等诸多挑战。为深入研究这些问题，我们基于MATLAB无线通信研究生态开发了专门针对无人机通信的模块化可扩展仿真平台。该平台支持灵活的5G NR节点部署、可定制的无人机移动模型以及多网络接口扩展，同时兼容包括TCP、UDP、QUIC在内的多种传输协议，可用于研究不同传输协议对无人机通信性能的影响。此外，平台还集成了切换管理模块，支持对传统切换策略与基于学习的切换策略进行评估。本平台可作为蜂窝网络连接无人机系统中先进传输策略开发与评估的测试平台。