Ubiquitous Cell-Free Massive MIMO Communications
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Abstract (arXiv)
Since the first cellular networks were trialled in the 1970s, we have witnessed an incredible wireless revolution. From 1G to 4G, the massive traffic growth has been managed by a combination of wider bandwidths, refined radio interfaces, and network densification, namely increasing the number of antennas per site. Due its cost-efficiency, the latter has contributed the most. Massive MIMO (multiple-input multiple-output) is a key 5G technology that uses massive antenna arrays to provide a very high beamforming gain and spatially multiplexing of users, and hence, increases the spectral and energy efficiency. It constitutes a centralized solution to densify a network, and its performance is limited by the inter-cell interference inherent in its cell-centric design. Conversely, ubiquitous cell-free Massive MIMO refers to a distributed Massive MIMO system implementing coherent user-centric transmission to overcome the inter-cell interference limitation in cellular networks and provide additional macro-diversity. These features, combined with the system scalability inherent in the Massive MIMO design, distinguishes ubiquitous cell-free Massive MIMO from prior coordinated distributed wireless systems. In this article, we investigate the enormous potential of this promising technology while addressing practical deployment issues to deal with the increased back/front-hauling overhead deriving from the signal co-processing.
Key facts. Cited by 8 papers in the map (data through 14 Oct 2026). First posted on arXiv 10 Apr 2018.
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Citing papers per year: 2022: 1; 2023: 1; 2024: 1; 2025: 3; 2026: 2.
8 papers.
- 2023Hybrid Knowledge-Data Driven Channel Semantic Acquisition and Beamforming for Cell-Free Massive MIMOcited by 3
- 2024Activity Detection for Massive Connectivity in Cell-free Networks with Unknown Large-scale Fading, Channel Statistics, Noise Variance, and Activity Probability: A Bayesian Approachcited by 3
- 2022Over-The-Air Federated Learning Over Scalable Cell-free Massive MIMOcited by 2
- 2025AutoBS: Autonomous Base Station Deployment with Reinforcement Learning and Digital Network Twinscited by 1
- 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
- 2026Energy Saving for Cell-Free Massive MIMO Networks: A Multi-Agent Deep Reinforcement Learning Approachcited by 0
- 2026Agentic AI for Bilevel Long-Term Optimization of Policy-Driven Physical Layer Systemscited by 0
- 2026Agentic AI for Bilevel Long-Term Optimization of Policy-Driven Physical Layer Systems23 Jun 2026
- 2026Energy Saving for Cell-Free Massive MIMO Networks: A Multi-Agent Deep Reinforcement Learning Approach8 Apr 2026
- 2025Robust Precoding for Resilient Cell-Free Networks29 Nov 2025
- 2025A General Framework for Scalable UE-AP Association in User-Centric Cell-Free Massive MIMO based on Recurrent Neural Networks6 Mar 2025
- 2025AutoBS: Autonomous Base Station Deployment with Reinforcement Learning and Digital Network Twins27 Feb 2025
- 2024Activity Detection for Massive Connectivity in Cell-free Networks with Unknown Large-scale Fading, Channel Statistics, Noise Variance, and Activity Probability: A Bayesian Approach30 Jan 2024
- 2023Hybrid Knowledge-Data Driven Channel Semantic Acquisition and Beamforming for Cell-Free Massive MIMO6 Jul 2023
- 2022Over-The-Air Federated Learning Over Scalable Cell-free Massive MIMO13 Dec 2022