Bayes-Optimal Joint Channel-and-Data Estimation for Massive MIMO With Low-Precision ADCs

By Chao-Kai Wen, Chang-Jen Wang, Shi Jin, Kai‐Kit Wong, Pangan Ting. IEEE Transactions on Signal Processing, 2015

342 citations recorded by the source corpus.

This paper considers a multiple-input multiple-output (MIMO) receiver with very low-precision analog-to-digital convertors (ADCs) with the goal of developing massive MIMO antenna systems that require minimal cost and power. Previous studies demonstrated that the training duration should be relatively long to obtain acceptable channel state information. To address this requirement, we adopt a joint channel-and-data (JCD) estimation method based on Bayes-optimal inference. This method yields minimal mean square errors with respect to the channels and payload data. We develop a Bayes-optimal JCD estimator using a recent technique based on approximate message passing. We then present an analytical framework to study the theoretical performance of the estimator in the large-system limit. Simulation results confirm our analytical results, which allow the efficient evaluation of the performance of quantized massive MIMO systems and provide insights into effective system design.

Subfields: Computer Networks and Communications, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/a27baa059012bf6ee1b32f9c4603d467a2141b81

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Citations in the corpus

Near Maximum-Likelihood Detector and Channel Estimator for Uplink Multiuser Massive MIMO Systems With One-Bit ADCs (2015, methodology): “Joint channel and data estimation using lowresolution ADCs was proposed in [32].”
Channel Estimation in Broadband Millimeter Wave MIMO Systems With Few-Bit ADCs (2016, methodology): “In recent work [6], [21]–[23], Approximate Message Passing (AMP) algorithms were used for channel estimation and (or)”
Matrix-Calibration-Based Cascaded Channel Estimation for Reconfigurable Intelligent Surface Assisted Multiuser MIMO (2019, methodology): “ear matrix factorization problems [28], [29]. Moreover, the result in [29] is adopted in analyzing the symbol error rate of the massive MIMO systems with low-precision analog-to-digital convertors in [31]. The analysis in this section can be regarded as an extension of the replica framework in [29] ”
Capacity Analysis of One-Bit Quantized MIMO Systems With Transmitter Channel State Information (2014, background): “Therefore, it is interesting to consider the quantized channel with both CSIT and CSIR.”