  Resource allocation is a fundamental task in cell-free (CF) massive
multi-input multi-output (MIMO) systems, which can effectively improve the
network performance. In this paper, we study the downlink of CF MIMO networks
with network clustering and linear precoding, and develop a sequential
multiuser scheduling and power allocation scheme. In particular, we present a
multiuser scheduling algorithm based on greedy techniques and a gradient ascent
{(GA)} power allocation algorithm for sum-rate maximization when imperfect
channel state information (CSI) is considered. Numerical results show the
superiority of the proposed sequential scheduling and power allocation scheme
and algorithms to existing approaches while reducing the computational
complexity and the signaling load.
