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• W2962879543 abstract "In this article, we consider multiuser detection that copes with multiple access interference caused in star-topology machine-to-machine (M2M) communications. We assume that the transmitted signals are discrete-valued (e.g. binary signals taking values of ±1), which is taken into account as prior information in detection. We formulate the detection problem as the maximum a posteriori (MAP) estimation, which is relaxed to a convex optimization called the sum-of-absolute-values (SOAV) optimization. The SOAV optimization can be efficiently solved by a proximal splitting algorithm, for which we give the proximity operator in a closed form. Numerical simulations are shown to illustrate the effectiveness of the proposed approach compared with the linear minimum mean-square-error (LMMSE) and the least absolute shrinkage and selection operator (LASSO) methods." @default.
• W2962879543 created "2019-07-30" @default.
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• W2962879543 date "2016-05-01" @default.
• W2962879543 modified "2023-09-26" @default.
• W2962879543 title "Multiuser detection by MAP estimation with sum-of-absolute-values relaxation" @default.
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• W2962879543 doi "https://doi.org/10.1109/icc.2016.7511060" @default.
• W2962879543 hasPublicationYear "2016" @default.
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