Signal processing for massive MIMO communications

Research output: Chapter in Book/Report/Conference proceedingChapter

2 Citations (Scopus)

Abstract

Massive multiinput multioutput (MIMO), a.k.a. large-scale antenna systems, is being considered as one of the key enabling technologies for the fifth generation and beyond fifth generation wireless networks. During the last few years, massive MIMO technology has appeared as the game changer in terms of spectral efficiency as well as energy efficiency to accommodate a large number of users at extraordinarily high data rates while consuming much less power. The aim of this chapter is to provide an overview of and address various important signal processing aspects of massive MIMO systems. We first discuss the information-theoretic pathway toward the development of massive MIMO systems, then briefly introduce standard precoding and decoding techniques, identify the key signal processing challenges, such as channel estimation and pilot contamination, along with possible solutions, and finally highlight some future research directions.

Original languageEnglish
Title of host publicationAcademic Press Library in Signal Processing, Volume 7
Subtitle of host publicationArray, Radar and Communications Engineering
PublisherAcademic Press
Chapter8
Pages367-401
Number of pages35
ISBN (Electronic)9780128118870
ISBN (Print)9780128118887
DOIs
Publication statusPublished - 2018

Keywords

  • Constant envelop precoding
  • Massive MIMO
  • Multiuser
  • Pilot contamination
  • Power control
  • Research challenges
  • Signal processing

ASJC Scopus subject areas

  • Engineering(all)

Fingerprint Dive into the research topics of 'Signal processing for massive MIMO communications'. Together they form a unique fingerprint.

  • Cite this

    Khandaker, M. R. A., & Wong, K-K. (2018). Signal processing for massive MIMO communications. In Academic Press Library in Signal Processing, Volume 7: Array, Radar and Communications Engineering (pp. 367-401). Academic Press. https://doi.org/10.1016/B978-0-12-811887-0.00008-0