Estimation of End-to-End Latency Boundary in UAV Communication Networks

The widespread application of drone technology across multiple domains is significantly driving the development of low-altitude economy. Among these, the issue of end-to-end latency in drone communication networks is particularly critical. We focus on the End-to-End(E2E) latency characteristics of UAV communication networks with emergent events, and use the concepts of arrival martingale and service martingale to estimate the latency boundary. Innovatively, the Doob-Meyer decomposition approach is introduced to decouple the stable factors and sudden events in the network, providing an accurate theoretical analysis tool for UAV communication network delays under stochastic network traffic. Through simulation experiments, it is proved that the proposed method can provide more accurate estimation of queue length and latency boundary while reducing computational complexity.