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• W4290996860 abstract "In this paper, we investigate a cell-free massive MIMO system with both access points and user equipments equipped with multiple antennas over the Weichselberger Rayleigh fading channel. We study the uplink spectral efficiency (SE) based on a two-layer decoding structure with maximum ratio (MR) or local minimum mean-square error (MMSE) combining applied in the first layer and optimal large-scale fading decoding method implemented in the second layer, respectively. To maximize the weighted sum SE, an uplink precoding structure based on an Iteratively Weighted sum-MMSE (I-WMMSE) algorithm using only channel statistics is proposed. Furthermore, with MR combining applied in the first layer, we derive novel achievable SE expressions and optimal precoding structures in closed-form. Numerical results validate our proposed results and show that the I-WMMSE precoding can achieve excellent sum SE performance." @default.
• W4290996860 created "2022-08-13" @default.
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• W4290996860 date "2022-05-16" @default.
• W4290996860 modified "2023-09-24" @default.
• W4290996860 title "Iteratively Weighted MMSE Uplink Precoding for Cell-Free Massive MIMO" @default.
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• W4290996860 doi "https://doi.org/10.1109/icc45855.2022.9838843" @default.
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