A Simplified Massive MIMO Approach Using Precoding

Mario Marques Da Silva, Rui Dinis

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Citations (Scopus)


This paper considers the use of massive multiple input, multiple output (MIMO) combined with single-carrier with frequency-domain equalization (SC-FDE) modulations using a precoding approach. Although millimeter wave (mm-Wave) communications are expected to be a key part of 5G, these frequencies present considerable challenges due to high propagation free-space path losses and implementation difficulties. For this reason, it is desirable to have broadband mm-Wave communications with good power and spectral efficiencies that are compatible with high efficiency amplification. In this paper we propose a massive MIMO (m-MIMO) architecture for broadband mm-Wave communications using precoding approach. We consider three different types of precoding algorithms: Zero Forcing Transmitter (ZFT), Maximum Ratio Transmitter (MRT), and Equal Gain Combiner (EGT). The advantage of both MRT and EGT relies on avoiding the computation of pseudo-inverse of matrices. Their performance of MRT and EGT can be very close to the matched filter bound just after a few iterations of a new proposed interference cancellation, even when the number of receive antennas is not very high.

Original languageEnglish
Title of host publicationIEEE CIT 2017 - 17th IEEE International Conference on Computer and Information Technology
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages6
ISBN (Electronic)9781538609583
Publication statusPublished - 2017
Event17th IEEE International Conference on Computer and Information Technology, CIT 2017 - Helsinki, Finland
Duration: 21 Aug 201723 Aug 2017


Conference17th IEEE International Conference on Computer and Information Technology, CIT 2017


  • 5G
  • Interference Cancellation
  • Massive MIMO
  • Mm-Wave
  • Precoding
  • SC-FDE


Dive into the research topics of 'A Simplified Massive MIMO Approach Using Precoding'. Together they form a unique fingerprint.

Cite this