Optimal User Loading in Massive MIMO Systems With Regularized Zero Forcing Precoding


Authors:

Sungwoo Park, Jeonghun Park, A. Y. Panah, Robert W. Heath, Jr.

Reference:

IEEE Wireless Communications Letters, vol. 6, no. 1, pp. 118-121, Feb. 2017

Abstract:

We consider a downlink massive multiple-input multiple output system employing regularized zero-forcing precoding. We derive the asymptotic signal-to-leakage-plus-noise ratio (SLNR) as both the number of antennas and the number of users go to infinity at a fixed ratio. Focusing on spatially uncorrelated channels with homogeneous large scale fading gains, we show that the SLNR is asymptotically equal to signal-tointerference-plus-noise ratio, which allows us to optimize the user loading for spectral efficiency. The results show that the optimal user loading varies depending on the channel signal-tonoise ratio (SNR). As the SNR increases, the optimal user loading decreases at low SNR, but increases at high SNR.