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arXiv · 2609.19047

Hybrid-Field Channel Tracking for Extremely Large-Scale MIMO Systems with Mobility

Yilong Liu·Xi Yang·Ting Liu·Yu Han·Shi Jin
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Abstract

In this paper, we propose a hybrid-field channel tracking algorithm for extremely large-scale multiple-input multiple-output (XL-MIMO) systems with mobility, leveraging the historical channel state information. The multiple path scenario is considered, and the line-of-sight path is coarsely estimated through the sparse peak search within a narrow window in the fractional Fourier domain based on the temporal continuity of the user's motion. Moreover, coarse estimations of the non-line-of-sight (NLoS) paths are determined by ensuring the scatterer survival probability, eliminating the necessity of detecting existing NLoS paths. Then, a Newton-based refinement is applied to the estimated paths before seeking possible new paths. Numerical results validate that the proposed algorithm achieves superior performance with low computational complexity.

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Yilong Liu, Xi Yang, Ting Liu, Yu Han, Shi Jin. 2026-07-21. Hybrid-Field Channel Tracking for Extremely Large-Scale MIMO Systems with Mobility. https://arxiv.org/abs/2609.19047

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