Towards Robust Space- and Frequency-Domain Cooperative Distributed-Large MIMO Systems
Journal article, 2025

Multiple-input multiple-output (MIMO) is a technique that has been extensively studied and successfully implemented in various communication systems over the past few decades. It has been a key technology in both 4G and 5G mobile communication systems and will be a key enabler in 6G to support the extreme requirements of data rate, energy efficiency (EE), etc. However, meeting these requirements necessitates evolution in the architecture of massive MIMO systems, and distributed MIMO (D-MIMO) has garnered significant attention as a potential solution. This article articulates one of the key findings on adaptive large MIMO systems from the Hexa-X-II European 6G Flagship project and provides a vision of what large MIMO systems may entail in 6G. To achieve this, we examine an adaptive deployment strategy in a joint co-located and distributed MIMO setup, including the utilization of different carrier frequencies and coordinated transmission under an ideal channel state information assumption. We evaluate EE and data rate across various user densities. Additionally, we provide a framework to select the MIMO architecture based on user density and spatial distribution. The key challenges and future research directions on robust large MIMO systems towards realistic 6G networks are also discussed.

Author

Han Yu

Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks

Bitan Banerjee

Technische Universität Dresden

Bikshapathi Gouda

University of Oulu

Eduardo N. Tominaga

University of Oulu

Jose Flordelis

Sony Europe B.V.

Italo Atzeni

University of Oulu

Bo Xu

Ericsson

Hamed Farhadi

Ericsson

Omer Haliloglu

Ericsson Research

Charitha Madapatha Madapathage Don

Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks

Antti Tölli

University of Oulu

G. Fettweis

Technische Universität Dresden

Tommy Svensson

Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks

IEEE Wireless Communications

1536-1284 (ISSN) 15580687 (eISSN)

Vol. In Press

Subject Categories (SSIF 2025)

Communication Systems

Telecommunications

DOI

10.1109/MWC.2025.3600844

More information

Latest update

10/30/2025