  In this paper, we consider the problem of multi-unmanned aerial vehicles'
scheduling for cooperative jamming, where UAVs equipped with directional
antennas perform collaborative jamming tasks against several targets of
interest. To ensure effective jamming towards the targets, we formulate it as
an non-convex optimization problem, aiming to minimize the communication
performance of the targets by jointly optimizing UAVs' deployment and
directional antenna orientations. Due to the unique structure of the problem,
we derive an equivalent transformation by introducing a set of auxiliary
matrices. Subsequently, we propose an efficient iterative algorithm based on
the alternating direction method of multipliers, which decomposes the problem
into multiple tractable subproblems solved in closed-form or by gradient
projection method. Extensive simulations validate the efficacy of the proposed
algorithm.
