Scalable User-Centric Distributed Massive MIMO Systems with Limited Processing Capacity

Freitas, Marx M. M.; Souza, Daynara D.; Fernandes, A. L. P.; Da Costa, Daniel B.; Cavalcante, André Mendes; Valcarenghi, Luca; Costa, João C. Weyl Albuquerque

doi:10.1109/icc45041.2023.10279694

ICC 2023 - IEEE International Conference on Communications 2023

DOI: 10.1109/icc45041.2023.10279694

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Scalable User-Centric Distributed Massive MIMO Systems with Limited Processing Capacity

Marx M. M. Freitas,

Daynara D. Souza,

A. L. P. Fernandes

et al.

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2024

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A Cost Assessment Methodology for User-Centric Distributed Massive MIMO Architectures

Fernandes,

Souza,

Natalino

et al. 2024

IEEE Open J. Commun. Soc.

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User-centric (UC) distributed massive multiple-input multiple-output (D-mMIMO), also known as cell-free mMIMO, is a pivotal technology for enabling future mobile communication systems. While UC D-mMIMO intrinsically follows a distributed architecture, its processing can be implemented in a distributed or centralized fashion. This paper proposes a comprehensive cost assessment methodology for UC D-mMIMO, capturing its total cost of ownership and factoring in the deployment configuration, processing implementation, computational demands, and fronthaul signaling. The methodology considers two transmission reception point (TRP) deployment strategies. The first focuses only on supporting user equipment (UE) demands, while the other fulfills these requirements and also actively strives to provide a fairer service among UEs. The proposed methodology is then used to perform a techno-economic assessment of the feasibility of centralized versus distributed processing functional splits while varying key costs and TRP capabilities, like antenna and served UE count. Results suggest that with the TRP deployment that only supports the required UE rate, distributed processing is usually the most feasible option for UE demands of up to 50 Mbps, and centralized processing is more cost-effective in other cases. Additionally, when considering the actively fairer TRP deployment, centralized processing becomes cheaper for any UE demands.INDEX TERMS Cell-free massive MIMO, feasibility analysis, network deployment, functional splits, techno-economic assessment, total cost of ownership.

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A Cost Assessment Methodology for User-Centric Distributed Massive MIMO Architectures

Fernandes,

Souza,

Natalino

et al. 2024

IEEE Open J. Commun. Soc.

View full text Add to dashboard Cite

show abstract

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Scalable User-Centric Distributed Massive MIMO Systems with Limited Processing Capacity

Cited by 1 publication

References 16 publications

A Cost Assessment Methodology for User-Centric Distributed Massive MIMO Architectures

A Cost Assessment Methodology for User-Centric Distributed Massive MIMO Architectures

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