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

Sungwoo Park, Jeonghun Park, Ali Yazdan, Robert W. Heath

Research output: Contribution to journalArticlepeer-review


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-To-interference-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-To-noise ratio (SNR). As the SNR increases, the optimal user loading decreases at low SNR, but increases at high SNR.

Original languageEnglish
Article number7784753
Pages (from-to)118-121
Number of pages4
JournalIEEE Wireless Communications Letters
Issue number1
Publication statusPublished - 2017 Feb

Bibliographical note

Publisher Copyright:
© 2012 IEEE.

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Electrical and Electronic Engineering


Dive into the research topics of 'Optimal User Loading in Massive MIMO Systems with Regularized Zero Forcing Precoding'. Together they form a unique fingerprint.

Cite this