  In this paper we study on a massive MIMO relay system with linear precoding
under the conditions of imperfect channel state information at the transmitter
(CSIT) and per-user channel transmit correlation. In our system the
source-relay channels are massive multiple-input multiple-output (MIMO) ones
and the relay-destination channels are massive multiple-input single-output
(MISO) ones. Large random matrix theory (RMT) is used to derive a deterministic
equivalent of the signal-to-interference-plus-noise ratio (SINR) at each user
in massive MIMO amplify-forward and decode-forward (M-MIMO-ADF) relaying with
regularized zero-forcing (RZF) precoding, as the number of transmit antennas
and users M,K approaches to infinity and M>>K. In this paper we obtain a
closed-form expression for the deterministic equivalent of
h^H_kW(hat)_lh(hat)_k, and we give two theorems and a corollary to derive the
deterministic equivalent of the SINR at each user. Simulation results show that
the deterministic equivalent of the SINR at each user in M-MIMO-ADF relaying
and the results of Theorem 1, Theorem 2, Proposition 1 and Corollary 1 are
accurate.
