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• W3146098346 abstract "Employing low resolution analog-to-digital converters in massive multiple-input multiple-output (MIMO) has many advantages in terms of total power consumption, cost and feasibility. However, such advantages come together with significant challenges in channel estimation and data detection due to the severe quantization noise present. In this study, we first derive linear minimum mean-square-error channel estimator for cyclic-prefix (CP) free single carrier MIMO (SC-MIMO) under frequency-selective channel. Then, we propose a novel iterative receiver for quantized CP-free uplink wideband SC-MIMO for uncorrelated or correlated Rayleigh and Rician fading channels. This detector utilizes an efficient message passing algorithm based on Bussgang decomposition, reduced state sequence estimation and Ungerboeck factorization. Therefore, it achieves remarkable complexity reduction and exhibits significant performance advantages compared to the existing quantized SC-MIMO receivers from the literature." @default.
• W3146098346 created "2021-04-13" @default.
• W3146098346 creator A5029500916 @default.
• W3146098346 creator A5051189654 @default.
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• W3146098346 date "2021-07-01" @default.
• W3146098346 modified "2023-09-27" @default.
• W3146098346 title "A Reduced Complexity Ungerboeck Receiver for Quantized Wideband Massive SC-MIMO" @default.
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• W3146098346 doi "https://doi.org/10.1109/tcomm.2021.3071537" @default.
• W3146098346 hasPublicationYear "2021" @default.
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