Availability and Reliability in MEC-enabled UAVs for URLLC
Abstract Unmanned aerial vehicle (UAV) communication networks are key components of the fifth (5G) and beyond (B5G) wireless communication systems. This work aims to develop a dynamic resource provisioning framework to allocate computational resources in a UAV equipped with Multi-access Edge Computing resources (MEC-enabled UAV) that provides on demand communication capabilities to Ultra-reliable low-latency communication (URLLC) services. We propose a dynamic CTMC-based framework to analyze the overall node availability and reliability, while taking into account virtual host setup (repair) delays and failure events for mobile Virtual Network Functions (VNFs) hosted on MEC-enabled UAVs. Numerical results illustrate how virtual resource parameters can impact critical service communication.