Joint User Scheduling and Precoding for XL-MIMO Systems with Imperfect CSI

We propose an algorithm for joint precoding and user scheduling in multiple-input multiple-output systems with extremely-large aperture arrays, assuming realistic channel conditions and imperfect channel estimates. The use of statistical channel state information (CSI) for user scheduling, and a pro...

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Bibliographic Details
Published inIEEE wireless communications letters Vol. 12; no. 10; p. 1
Main Authors Gonzalez-Coma, Jose P., Lopez-Martinez, F. Javier, Castedo, Luis
Format Journal Article
LanguageEnglish
Published Piscataway IEEE 01.10.2023
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Algorithms
Antenna arrays
Channel estimation
massive MIMO
near-field
Performance prediction
Perturbation methods
Precoding
Reflection
Scheduling
Symbols
Training
XL-MIMO
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Summary:We propose an algorithm for joint precoding and user scheduling in multiple-input multiple-output systems with extremely-large aperture arrays, assuming realistic channel conditions and imperfect channel estimates. The use of statistical channel state information (CSI) for user scheduling, and a proper selection of the set of users for which CSI is updated allow for obtaining an improved achievable sum spectral efficiency. We also confirm that the effect of imperfect CSI in the precoding vector design and the cost of training must be taken into consideration for realistic performance prediction.
ISSN:2162-2337
2162-2345
DOI:10.1109/LWC.2023.3281650