  Edge intelligence is a scalable solution for analyzing distributed data, but
it cannot provide reliable services in large-scale cellular networks unless the
inherent aspects of fading and interference are also taken into consideration.
In this paper, we present the first mathematical framework for modelling edge
video analytics in multi-cell cellular systems. We derive the expressions for
the coverage probability, the ergodic capacity, the probability of successfully
completing the video analytics within a target delay requirement, and the
effective frame rate. We also analyze the effect of the system parameters on
the accuracy of the detection algorithm, the supported frame rate at the edge
server, and the system fairness.
