Distributed Power Control in Downlink Cellular Massive MIMO Systems

This paper compares centralized and distributed
methods to solve the power minimization problem with qualityof-
service (QoS) constraints in the downlink (DL) of multicell
Massive multiple-input multiple-output (MIMO) systems. In
particular, we study the computational complexity, number of parameters
that need to be exchanged between base stations (BSs),
and the convergence of iterative implementations. Although a
distributed implementation based on dual decomposition (which
only requires statistical channel knowledge at each BS) typically
converges to the global optimum after a few iterations, many
parameters need to be exchanged to reach convergence.