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- W2885915977 abstract "In this paper, the problem of designing a forward link linear precoder for Massive Multiple-Input Multiple-Output (MIMO) systems in conjunction with Quadrature Amplitude Modulation (QAM) is addressed. A challenge in such system design is to consider finite alphabet inputs, especially with larger constellation sizes such as $Mgeq 16$. First, we employ a novel and efficient methodology that allows for a sparse representation of multiple users and groups in a fashion similar to Joint Spatial Division and Multiplexing (JSDM), thus offering an extension of JSDM to finite alphabet data symbols. We term the new approach JSDM for finite alphabets (JSDM-FA). We show that similarly to ordinary JSDM, the optimal pre-beamforming matrix for Massive MIMO in JSDM-FA becomes the DFT matrix. The proposed methodology is next applied jointly with the complexity-reducing Per-Group Processing within groups (PGP-WG) technique, on a per user group basis, in conjunction with QAM modulation and in simulations, for constellation size up to $M=64$. We show by numerical results that the precoders developed offer significantly better performance than the configuration with no precoder or the plain beamformer and with $Mgeq 16$." @default.
- W2885915977 created "2018-08-22" @default.
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- W2885915977 date "2018-05-01" @default.
- W2885915977 modified "2023-10-18" @default.
- W2885915977 title "Downlink Precoding for Massive MIMO Systems Exploiting Virtual Channel Model Sparsity" @default.
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- W2885915977 doi "https://doi.org/10.1109/icc.2018.8422209" @default.
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