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.
Authors
- Felip Riera-Palou (ORCID: https://orcid.org/0000-0001-7080-3173)
- Antonio De Domenico (ORCID: https://orcid.org/0000-0003-1229-4045)
- Nicola Piovesan (ORCID: https://orcid.org/0000-0001-5397-5248)
- Guillem Femenias (ORCID: https://orcid.org/0000-0003-2002-1733)
- David López-Pérez
Institutions
- Huawei Technologies (France) (FR)
- Universitat de les Illes Balears (ES)
- Universitat Politècnica de València (ES)
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