  We analyze a model of relay-augmented cellular wireless networks. The network
users, who move according to a general mobility model based on a Poisson point
process of continuous trajectories in a bounded domain, try to communicate with
a base station located at the origin. Messages can be sent either directly or
indirectly by relaying over a second user. We show that in a scenario of an
increasing number of users, the probability that an atypically high number of
users experiences bad quality of service over a certain amount of time, decays
at an exponential speed. This speed is characterized via a constrained entropy
minimization problem. Further, we provide simulation results indicating that
solutions of this problem are potentially non-unique due to symmetry breaking.
Also two general sources for bad quality of service can be detected, which we
refer to as isolation and screening.
