Extremely Large-Scale MIMO: Fundamentals, Challenges, Solutions, and Future Directions
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Abstract (arXiv)
Extremely large-scale multiple-input-multiple-output (XL-MIMO) is a promising technology to empower the next-generation communications. However, XL-MIMO, which is still in its early stage of research, has been designed with a variety of hardware and performance analysis schemes. To illustrate the differences and similarities among these schemes, we comprehensively review existing XL-MIMO hardware designs and characteristics in this article. Then, we thoroughly discuss the research status of XL-MIMO from "channel modeling", "performance analysis", and "signal processing". Several existing challenges are introduced and respective solutions are provided. We then propose two case studies for the hybrid propagation channel modeling and the effective degrees of freedom (EDoF) computations for practical scenarios. Using our proposed solutions, we perform numerical results to investigate the EDoF performance for the scenarios with unparallel XL-MIMO surfaces and multiple user equipment, respectively. Finally, we discuss several future research directions.
Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). First posted on arXiv 25 Sep 2022.
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Citing papers per year: 2023: 1; 2024: 0; 2025: 2; 2026: 1.
4 papers.
- 2023Enhancing Deep Reinforcement Learning: A Tutorial on Generative Diffusion Models in Network Optimizationcited by 56
- 2025Lightweight Deep Learning-Based Channel Estimation for RIS-Aided Extremely Large-Scale MIMO Systems on Resource-Limited Edge Devicescited by 0
- 2025Deep Learning Based Joint Channel Estimation and Positioning for Sparse XL-MIMO OFDM Systemscited by 0
- 2026Near-Field Wideband Channel Estimation for XL-MIMO Systems via Denoising Diffusion Modelcited by 0
- 2026Near-Field Wideband Channel Estimation for XL-MIMO Systems via Denoising Diffusion Model22 Apr 2026
- 2025Deep Learning Based Joint Channel Estimation and Positioning for Sparse XL-MIMO OFDM Systems26 Jul 2025
- 2025Lightweight Deep Learning-Based Channel Estimation for RIS-Aided Extremely Large-Scale MIMO Systems on Resource-Limited Edge Devices13 Jul 2025
- 2023Enhancing Deep Reinforcement Learning: A Tutorial on Generative Diffusion Models in Network Optimization10 Aug 2023