Channel Estimation for Extremely Large-Scale Massive MIMO Systems
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Abstract (arXiv)
Extremely large-scale massive multiple-input multiple-output (MIMO) has shown considerable potential in future mobile communications. However, the use of extremely large aperture arrays has led to near-field and spatial non-stationary channel conditions, which result in changes to transceiver design and channel state information that should be acquired. This letter focuses on the channel estimation problem and describes the non-stationary channel through mapping between subarrays and scatterers. We propose subarray-wise and scatterer-wise channel estimation methods to estimate the near-field non-stationary channel from the view of subarray and scatterer, respectively. Numerical results demonstrate that subarray-wise method can derive accurate channel estimation results with low complexity, whereas the scatterer-wise method can accurately position the scatterers and identify almost all the mappings between subarrays and scatterers.
Key facts. Cited by 5 papers in the map (data through 14 Oct 2026). First posted on arXiv 11 Oct 2019.
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Citing papers per year: 2022: 2; 2023: 0; 2024: 0; 2025: 1; 2026: 2.
5 papers.
- 2025RadioDiff-3D: A 3D×3D Radio Map Dataset and Generative Diffusion Based Benchmark for 6G Environment-Aware Communicationcited by 16
- 2026RadioDiff-Flux: Efficient Radio Map Construction via Generative Denoise Diffusion Model Trajectory Midpoint Reusecited by 4
- 2022Hybrid Far- and Near-Field Channel Estimation for THz Ultra-Massive MIMO via Fixed Point Networkscited by 2
- 2022Near-Field Channel Estimation for Extremely Large-Scale Array Communications: A model-based deep learning approachcited by 1
- 2026Recurrent Transformer-Based Near- and Far-Field THz Wideband Channel Estimation for UM-MIMOcited by 0
- 2026Recurrent Transformer-Based Near- and Far-Field THz Wideband Channel Estimation for UM-MIMO12 May 2026
- 2026RadioDiff-Flux: Efficient Radio Map Construction via Generative Denoise Diffusion Model Trajectory Midpoint Reuse6 Jan 2026
- 2025RadioDiff-3D: A 3D×3D Radio Map Dataset and Generative Diffusion Based Benchmark for 6G Environment-Aware Communication16 Jul 2025
- 2022Near-Field Channel Estimation for Extremely Large-Scale Array Communications: A model-based deep learning approach28 Nov 2022
- 2022Hybrid Far- and Near-Field Channel Estimation for THz Ultra-Massive MIMO via Fixed Point Networks10 May 2022