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Performance Analysis for Extremely Large-Scale MIMO Communication Systems
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DOI：10.1109/LCOMM.2026.3654136.png)
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Abstract
En 中文
To effectively capture the inherent near-field effects and spatial non-stationarity across extremely large antenna arrays (ELAAs), this letter develops a novel analytical channel model tailored for extremely large-scale multiple-input multiple-output (XL-MIMO) systems. In the proposed framework, spatial non-stationarity is first characterized using a 0-1 diagonal matrix, after which the composite XL-MIMO channel matrix is formulated as a linear combination of structured matrix components. Leveraging this representation, we perform a comprehensive performance analysis, evaluating key metrics including the downlink ergodic capacity, an efficiently computable upper bound derived from eigenvalue matrix, and the symbol error probability (SEP). The analysis demonstrates that the proposed scheme not only achieves performance comparable to benchmark methods but also substantially reduces computational complexity. Furthermore, the analysis reveals a pronounced performance degradation in the presence of increasing channel estimation errors.
Keywords:
Extremely large-scale multiple-input multiple-output (XL-MIMO)
near-field effects
spatial non-stationarity
ergodic capacity
upper bound on ergodic capacity
Journal
IF:
4.4
Papers:
1.2W
Citations:
2.2W