Abstract: We present SparseLUT, a novel training method for Lookup Table (LUT)-based Deep Neural Networks (DNNs) that eliminates the need for random seed optimization-a common requirement in existing ...
Abstract: To fully exploit the benefits of spatial multiplexing gains within Frequency Division Duplex (FDD) Multiple-Input Multiple-Output (MIMO) systems, the development of a robust Channel State ...
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