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A Low-Complexity Recurrent Neural Network Based Joint Equalization and Decoding Method for Trellis Coded Modulation Link in Data Center

Xin Qin,Pengfei Wang,Chuanchuan Yang,Fan Zhang,Xinyue Wang,Ziyu Wang

2020 OPTO-ELECTRONICS AND COMMUNICATIONS CONFERENCE (OECC 2020)（2020）

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Abstract
RNN-based joint equalization and decoding methods are proposed for data center with TCM signals. Numerical results show compared with traditional DSP algorithms, our method improves power sensitivity by 2.2dB@BER=3.8×10 -3 with 96% reduced complexity.
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Key words
trellis coded modulation (TCM), recurrent neural network (RNN), data center
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