Few-bit analog-to-digital converter (ADC) is regarded as a promising technique to greatly reduce power consumption of Internet of Things (IoT) devices in millimeter-wave (mmWave) communications. In this work, based on the recently proposed parametric bilinear generalized approximate message passing (PBiGAMP), we propose a new scheme to perform joint symbol detection, channel estimation and decoding. The proposed scheme is flexible to deal with discrete prior on symbols, Gaussian mixture prior on channels and quantized likelihood on observations. Furthermore, we introduce doping factor to control the portion of "extrinsic" and "posterior" information with negligible complexity increase. Since this joint scheme can be implemented via fast Fourier transformation (FFT), the complexity grows only logarithmically. Compared to the benchmark algorithms, numerical results show that the proposed joint scheme can achieve significant performance gain, and demonstrate the effectiveness in dealing with the nonlinear distortion from few-bit ADC.

中文翻译：

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mmWave通信中很少位ADC下的联合符号检测，信道估计和解码方案。

几位模数转换器（ADC）被认为是在毫米波（mmWave）通信中大大降低物联网（IoT）设备功耗的一种有前途的技术。在这项工作中，基于最近提出的参数化双线性广义近似消息传递（PBiGAMP），我们提出了一种执行联合符号检测，信道估计和解码的新方案。所提出的方案可以灵活地处理符号上的离散先验，信道上的高斯混合先验以及观测值上的量化似然。此外，我们引入了掺杂因子来控制“外部”和“后部”信息的部分，而复杂度的增加可以忽略不计。由于可以通过快速傅立叶变换（FFT）来实现此联合方案，因此复杂度仅以对数形式增长。