Massive MIMO is a reality—What is next?: Five promising research directions for antenna arrays
Journal article, 2019

Massive MIMO (multiple-input multiple-output) is no longer a “wild” or “promising” concept for future cellular networks—in 2018 it became a reality. Base stations (BSs) with 64 fully digital transceiver chains were commercially deployed in several countries, the key ingredients of Massive MIMO have made it into the 5G standard, the signal processing methods required to achieve unprecedented spectral efficiency have been developed, and the limitation due to pilot contamination has been resolved. Even the development of fully digital Massive MIMO arrays for mmWave frequencies—once viewed prohibitively complicated and costly—is well underway. In a few years, Massive MIMO with fully digital transceivers will be a mainstream feature at both sub-6 GHz and mmWave frequencies. In this paper, we explain how the first chapter of the Massive MIMO research saga has come to an end, while the story has just begun. The coming wide-scale deployment of BSs with massive antenna arrays opens the door to a brand new world where spatial processing capabilities are omnipresent. In addition to mobile broadband services, the antennas can be used for other communication applications, such as low-power machine-type or ultra-reliable communications, as well as non-communication applications such as radar, sensing and positioning. We outline five new Massive MIMO related research directions: Extremely large aperture arrays, Holographic Massive MIMO, Six-dimensional positioning, Large-scale MIMO radar, and Intelligent Massive MIMO.

Machine learning

Communications

Positioning and radar

Massive MIMO

Future directions

Author

Emil Björnson

Linköping University

Luca Sanguinetti

University of Pisa

Henk Wymeersch

Chalmers, Electrical Engineering, Communication and Antenna Systems, Communication Systems

Jakob Hoydis

Nokia Bell Labs

T. L. Marzetta

NYU Tandon School of Engineering

Digital Signal Processing: A Review Journal

1051-2004 (ISSN) 1095-4333 (eISSN)

Vol. 94 3-20

Subject Categories

Telecommunications

Communication Systems

Signal Processing

DOI

10.1016/j.dsp.2019.06.007

More information

Latest update

11/11/2019