Impact of UAV Failure and Severe Weather Conditions in mmWave and Terahertz Signals for AeriaL Edge Computing

With the increasing demand for low-latency data processing and resource-intensive applications in vehicular networks, leveraging unmanned aerial vehicles (UAVs) for edge computing tasks has emerged as a promising solution. The lifetime of a UAV's power supply is a critical factor that can significantly impact the entire system, especially when the UAV is equipped with a server for computing user tasks. Understanding the effect of UAV failure in a cooperative scenario is crucial, particularly with regards to task latency. Thus, in this paper, we analyze the consequences of UAV failure on a cooperative UAV-enabled Multi-Access Edge Computing (MEC) system, specifically in terms of task latency. To ensure uninterrupted service delivery and maintain the quality of service, the system automatically redistributes tasks from the affected UAVs to their operational counterparts in the event of a failure. Furthermore, the paper delves into investigating the impact of severe weather condition attenuation on the millimeter wave (mmWave) and Terahertz (THz) communication channel. Specifically, it focuses on analyzing the effects on transmission time delay and energy consumption in the system. Understanding these factors is essential for optimizing mmWave and THz communication channels performance under adverse weather conditions.