  We reconsider the problem of joint power control and beamforming design to
maximize the weighted sum rate in large and potentially cell-free massive MIMO
networks. In contrast to the available short-term methods, where an iterative
algorithm is run for every instantaneous channel realization, we derive an
iterative algorithm that can be run only sporadically leveraging known channel
statistics, with minor performance loss. In addition, our algorithm also
applies to the design of non-trivial cooperative beamforming schemes subject to
limited sharing of instantaneous channel state information. Furthermore, our
algorithm generalizes and outperforms the competing long-term methods from the
massive MIMO literature, which are restricted to long-term power control only
or to long-term joint power control and large-scale fading decoding design.
