Massive MIMO is a reality—What is next?: Five promising research directions for antenna arrays
Artikel i vetenskaplig tidskrift, 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.

Future directions

Communications

Massive MIMO

Positioning and radar

Machine learning

Författare

Emil Björnson

Luca Sanguinetti

Henk Wymeersch

Chalmers, Elektroteknik, Kommunikations- och antennsystem, Kommunikationssystem

Jakob Hoydis

Thomas L. Marzetta

Digital Signal Processing: A Review Journal

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

Ämneskategorier

Systemvetenskap

Signalbehandling

Datavetenskap (datalogi)

DOI

10.1016/j.dsp.2019.06.007

Mer information

Senast uppdaterat

2019-08-26