  In this paper, we consider the topological interference management (TIM)
problem in a dynamic setting, where an adversary perturbs network topology to
prevent the exploitation of sophisticated coding opportunities (e.g.,
interference alignment). Focusing on a special class of network topology -
chordal networks - we investigate algorithmic aspects of the TIM problem under
adversarial topology perturbation. In particular, given the adversarial
perturbation with respect to edge insertion/deletion, we propose a dynamic
graph coloring algorithm that allows for a constant number of re-coloring
updates against each inserted/deleted edge to achieve the information-theoretic
optimality. This is a sharp reduction of the general graph re-coloring, whose
optimal number of updates scales as the size of the network, thanks to the
delicate exploitation of the structural properties of chordal graph classes.
