Towards Robust Space- and Frequency-Domain Cooperative Distributed-Large MIMO Systems

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.

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Publication Details

Journal
IEEE Wireless Communications
Published
2025-10-14
DOI
https://doi.org/10.1109/mwc.2025.3600844
Primary Topic
Advanced MIMO Systems Optimization
Type
article
Field-Weighted Citation Impact
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article

Towards Robust Space- and Frequency-Domain Cooperative Distributed-Large MIMO Systems

Bitan Banerjee, Gerhard Fettweis, Hamed Farhadi, Antti Tölli et al.
IEEE Wireless Communications
Advanced MIMO Systems Optimization
article

Towards Robust Space- and Frequency-Domain Cooperative Distributed-Large MIMO Systems

Bitan Banerjee, Gerhard Fettweis, Hamed Farhadi, Antti Tölli, Bikshapathi Gouda, Jose Flordelis, Charitha Madapatha, Ömer Haliloğlu, Bo Xu, Tommy Svensson, Italo Atzeni, Eduardo Noboro Tominaga, Han Yu
article en

Abstract

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.

IEEE Wireless CommunicationsVol. 32(6)
Ericsson (Sweden) (SE), Ericsson (United Kingdom) (GB), Sony (Sweden) (SE), Chalmers University of Technology (SE), University of Oulu (FI)
Openalex Percentile: Top 71%
Advanced MIMO Systems Optimization
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