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Abstract: In this paper, we propose a deep residual shrinkage neural network (DRSNN) based on sparse prior for solving the orthogonal time frequency space (OTFS) channel estimation problem.
Abstract: Channel prediction compensates for outdated channel state information in multiple-input multiple-output (MIMO) systems. Machine learning (ML) techniques have recently been implemented to ...
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