When Quantized Massive MIMO Meets Large MIMO with Higher Order Modulation

Asmaa Abdallah, Mohammad M. Mansour*, Louay M.A. Jalloul, Ali Chehab

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

1 Scopus citations


In this letter, we compare the capacity of a massive multiple-input multiple-output (MIMO) system using a low-resolution analog-to-digital converter (ADC) and a linear detector against a conventional MIMO system with higher order modulation and near maximum likelihood (ML) detection. We show that in the low-signal-to-noise ratio (SNR) regime, the quantized massive MIMO system can outperform the conventional large MIMO system; however, for high SNR, the conventional MIMO system with a near ML detector can outperform the extreme 1-bit quantized massive MIMO system. An analytical framework that derives the achievable rate of a linear minimum mean-squared error (MMSE)-based detector in a massive MIMO configuration, with the assumptions that the front-end is limited to a low-resolution ADC and channel estimation is imperfect, is presented.

Original languageEnglish (US)
Article number8481691
Pages (from-to)2599-2602
Number of pages4
JournalIEEE Communications Letters
Issue number12
StatePublished - Dec 2018


  • detection
  • MMSE
  • Quantized massive MIMO

ASJC Scopus subject areas

  • Modeling and Simulation
  • Computer Science Applications
  • Electrical and Electronic Engineering


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