We propose a hybrid coded modulation scheme which composes of inner and outer codes. The outer-code can be any standard binary linear code with efficient soft decoding capability (e.g. low-density parity-check (LDPC) codes). The inner code is designed using a deep neural network (DNN) which takes the channel coded bits and outputs modulated symbols. For training the DNN, we propose to use a loss function that is inspired by the generalized mutual information. The resulting constellations are shown to outperform the conventional quadrature amplitude modulation (QAM) based coding scheme for modulation order 16 and 64 with 5G standard LDPC codes.

翻译：我们提议了一个混合编码调制方案,由内码和外码组成。外码可以是任何标准的二元线性代码,具有有效的软解码能力(例如低密度等同检查(LDPC)代码)。内码的设计使用深神经网络(DNN),该网络采用频道编码比特和输出调制符号。为培训 DNN,我们提议使用一种受普遍相互信息启发的损失函数。由此产生的星座显示超过常规的等离子振动调制(QAM)编码方案,第16和64号调制令有5G标准的LDPC标准编码。