  This letter focuses on the non-convex joint optimization with a dynamic
resource of multi-user for an intelligent reflecting surface-enhanced mmWave
system, where all users are concentrated on the unique cluster beam. Firstly,
the objective function of the above non-linear problem is converted into a
quadratic programming form under the quality of service constraints. Further, a
multi-blocks alternating optimization framework with dynamic power allocation
is proposed to obtain the maximum sum-rate, where the relaxed ADMM algorithm is
adopted to tackle the optimal fulldigital precoder and the corresponding
passive reflecting matrix is obtained by the gradient-projection. The numerical
results verify that beam optimization should be emphasized in high SINR, but
joint dynamic resource allocation can further improve system performance even
if the hardware dimensions reaches the limit.
