HIGHLIGHTS
- who: Downlink Signal Detection and colleagues from the School of Electronic and Information Engineering, Beihang University, Beijing, China have published the research work: A Deep Learning Approach for MIMO-NOMA, in the Journal: (JOURNAL)
- what: Toward this end the authors explore a high-performance high-efficiency tool-deep learning (DL). The authors propose a learning method that automatically analyzes the channel state information (CSI) of the communication system and detects the original transmit sequences. The authors focus on power-domain NOMA for downlink multiuser multiple-input multiple-output (MIMO) systems on account of its representativeness . . .
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