SCMA Decoding via Deep Learning
IEEE Wireless Communications Letters(2021)
摘要
Sparse code multiple access (SCMA) has become a highly competitive technology for future cellular systems. For the receiver of the SCMA system, besides the traditional maximum likelihood and message passing algorithm solutions, a deep neural network (DNN) method that causes whirlwinds in image recognition can reduce the computational complexity of the decoder. We expect low complexity while mainta...
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关键词
Neural networks,Bit error rate,Training data,Receivers,Fading channels,Downlink,NOMA
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