User-centric Cell-free Massive MIMO Networks: A Survey of Opportunities, Challenges and Solutions
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Abstract (arXiv)
Densification of network base stations is indispensable to achieve the stringent Quality of Service (QoS) requirements of future mobile networks. However, with a dense deployment of transmitters, interference management becomes an arduous task. To solve this issue, exploring radically new network architectures with intelligent coordination and cooperation capabilities is crucial. This survey paper investigates the emerging user-centric cell-free massive Multiple-input multiple-output (MIMO) network architecture that sets a foundation for future mobile networks. Such networks use a dense deployment of distributed units (DUs) to serve users; the crucial difference from the traditional cellular paradigm is that a specific serving cluster of DUs is defined for each user. This framework provides macro diversity, power efficiency, interference management, and robust connectivity. Most importantly, the user-centric approach eliminates cell edges, thus contributing to uniform coverage and performance for users across the network area. We present here a guide to the key challenges facing the deployment of this network scheme and contemplate the solutions being proposed for the main bottlenecks facing cell-free communications. Specifically, we survey the literature targeting the fronthaul, then we scan the details of the channel estimation required, resource allocation, delay, and scalability issues. Furthermore, we highlight some technologies that can provide a management platform for this scheme such as distributed software-defined network (SDN). Our article serves as a check point that delineates the current status and indicates future directions for this area in a comprehensive manner.
Key facts. Cited by 8 papers in the map (data through 7 Oct 2026). First posted on arXiv 29 Apr 2021.
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Citing papers per year: 2024: 3; 2025: 4; 2026: 1.
8 papers.
- 2024A Deep Learning Approach for User-Centric Clustering in Cell-Free Massive MIMO Systemscited by 2
- 2024Statistical QoS Provision in Business-Centric Networkscited by 1
- 2025Handoff Design in User-Centric Cell-Free Massive MIMO Networks Using DRLcited by 1
- 2025Linear Attention for Joint Power Optimization and User-Centric Clustering in Cell-Free Networkscited by 1
- 2024Learning for Cross-Layer Resource Allocation in MEC-Aided Cell-Free Networkscited by 0
- 2025A General Framework for Scalable UE-AP Association in User-Centric Cell-Free Massive MIMO based on Recurrent Neural Networkscited by 0
- 2025Robust Precoding for Resilient Cell-Free Networkscited by 0
- 2026Cooperative Deep Reinforcement Learning for Fair RIS Allocationcited by 0
- 2026Cooperative Deep Reinforcement Learning for Fair RIS Allocation26 Mar 2026
- 2025Linear Attention for Joint Power Optimization and User-Centric Clustering in Cell-Free Networks19 Dec 2025
- 2025Robust Precoding for Resilient Cell-Free Networks29 Nov 2025
- 2025Handoff Design in User-Centric Cell-Free Massive MIMO Networks Using DRL28 Jul 2025
- 2025A General Framework for Scalable UE-AP Association in User-Centric Cell-Free Massive MIMO based on Recurrent Neural Networks6 Mar 2025
- 2024Learning for Cross-Layer Resource Allocation in MEC-Aided Cell-Free Networks21 Dec 2024
- 2024A Deep Learning Approach for User-Centric Clustering in Cell-Free Massive MIMO Systems17 Sep 2024
- 2024Statistical QoS Provision in Business-Centric Networks28 Aug 2024