Asymptotic Analysis of Regularized Zero-Forcing Precoding in MISO Broadcast Channels With Limited Feedback
In this paper, the authors analyze the asymptotic sum-rate of Regularized Zero-Forcing (RZF) precoding in MISO broadcast channels with limited feedback, transmit correlation and path-loss. Their analysis assumes that the ratio of the number of transmit antennas M to the number of users K is bounded as (K;M) grow large. By applying recent results from random matrix theory they derive a deterministic equivalent of the SINR and compute the sum-rate maximizing regularization term as well as sum-rate bounds for high SNR. Numerical simulations show that the asymptotic results extend well into finite regimes.