Cell-Free Processing for 5G Massive MIMO Deployments: Sleep Modes and User Stream Management

Cell-free massive MIMO (CF-M-MIMO) is heralded as a technological pillar for 6G mobile networks, outperforming the classical cellular-based M-MIMO architecture of 5G by bringing infrastructure closer to end users and leveraging interference cancellation through network-wide joint processing. However, the major drawback is the significant expense required to deploy and maintain numerous infrastructure sites and connect them to a central processing unit (CPU) for baseband processing. This paper proposes utilizing CF-M-MIMO processing atop existing micro/macrocellular deployments in current 5G networks. It suggests connecting all base stations (BSs) to a CPU via fronthaul links to enable joint processing of user equipment (UE) without the costly deployment of many scattered access points (APs). By jointly managing all transmit/receive points (TRPs) in the network, a novel switch on/off strategy is derived to maximize energy efficiency by exploiting the sleep mode capabilities of current baseband/RF hardware, adapting to changes in UE behavior and operator requirements. Additionally, the paper considers multiantenna user terminals, common in current 5G setups, and proposes a technique to manage the number of streams directed to each UE, balancing multiplexing gains and increased pilot contamination.

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Publication Details

Journal
IEEE Transactions on Vehicular Technology
Published
2024-10-10
DOI
https://doi.org/10.1109/tvt.2024.3477617
Citations
5
Primary Topic
Advanced MIMO Systems Optimization
Type
article
Field-Weighted Citation Impact
1.04
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article

Cell-Free Processing for 5G Massive MIMO Deployments: Sleep Modes and User Stream Management

Felip Riera-Palou, Antonio De Domenico, Nicola Piovesan, Guillem Femenias et al.
5 citations
IEEE Transactions on Vehicular Technology
Advanced MIMO Systems Optimization
1.04
article

Cell-Free Processing for 5G Massive MIMO Deployments: Sleep Modes and User Stream Management

Felip Riera-Palou, Antonio De Domenico, Nicola Piovesan, Guillem Femenias, David López-Pérez
article en
5 citations

Abstract

Cell-free massive MIMO (CF-M-MIMO) is heralded as a technological pillar for 6G mobile networks, outperforming the classical cellular-based M-MIMO architecture of 5G by bringing infrastructure closer to end users and leveraging interference cancellation through network-wide joint processing. However, the major drawback is the significant expense required to deploy and maintain numerous infrastructure sites and connect them to a central processing unit (CPU) for baseband processing. This paper proposes utilizing CF-M-MIMO processing atop existing micro/macrocellular deployments in current 5G networks. It suggests connecting all base stations (BSs) to a CPU via fronthaul links to enable joint processing of user equipment (UE) without the costly deployment of many scattered access points (APs). By jointly managing all transmit/receive points (TRPs) in the network, a novel switch on/off strategy is derived to maximize energy efficiency by exploiting the sleep mode capabilities of current baseband/RF hardware, adapting to changes in UE behavior and operator requirements. Additionally, the paper considers multiantenna user terminals, common in current 5G setups, and proposes a technique to manage the number of streams directed to each UE, balancing multiplexing gains and increased pilot contamination.

IEEE Transactions on Vehicular TechnologyVol. 74(2)
Huawei Technologies (France) (FR), Universitat de les Illes Balears (ES), Universitat Politècnica de València (ES)
Openalex Percentile: Top 23%
Advanced MIMO Systems Optimization
1.04
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