  In this paper, we present a new performance bound for uplink channel
estimation (CE) accuracy in the Massive Multiple Input Multiple Output (MIMO)
system. The proposed approach is based on noise power prediction after the CE
unit. Our method outperforms the accuracy of a well-known Cramer-Rao lower
bound (CRLB) due to considering more statistics since performance strongly
depends on a number of channel taps and power ratio between them. Simulation
results are presented for the non-line of sight (NLOS) 3D-UMa model of 5G
QuaDRiGa 2.0 channel and compared with CRLB and state-of-the-art CE algorithms.
