Non-Stationarities in Extra-Large Scale Massive MIMO
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Abstract (arXiv)
Massive MIMO, a key technology for increasing area spectral efficiency in cellular systems, was developed assuming moderately sized apertures. In this paper, we argue that massive MIMO systems behave differently in large-scale regimes due to spatial non-stationarity. In the large-scale regime, with arrays of around fifty wavelengths, the terminals see the whole array but non-stationarities occur because different regions of the array see different propagation paths. At even larger dimensions, which we call the extra-large scale regime, terminals see a portion of the array and inside the first type of non-stationarities might occur. We show that the non-stationarity properties of the massive MIMO channel changes several important MIMO design aspects. In simulations, we demonstrate how non-stationarity is a curse when neglected but a blessing when embraced in terms of computational load and multi-user transceiver design.
Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). First posted on arXiv 7 Mar 2019.
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Citing papers per year: 2022: 1; 2023: 1; 2024: 0; 2025: 1.
3 papers.
- 2022Overview of Deep Learning-based CSI Feedback in Massive MIMO Systemscited by 37
- 2023Plug-in Channel Estimation with Dithered Quantized Signals in Spatially Non-Stationary Massive MIMO Systemscited by 4
- 2025Near-Field Channel Estimation for XL-MIMO: A Deep Generative Model Guided by Side Informationcited by 4
- 2025Near-Field Channel Estimation for XL-MIMO: A Deep Generative Model Guided by Side Information11 May 2025
- 2023Plug-in Channel Estimation with Dithered Quantized Signals in Spatially Non-Stationary Massive MIMO Systems11 Jan 2023
- 2022Overview of Deep Learning-based CSI Feedback in Massive MIMO Systems29 Jun 2022