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Adopting one-bit analog-to-digital convertors (ADCs) for massivemultiple-input multiple-output (MIMO) implementations has great potential inreducing the hardware cost and power consumption. However, distortions causedby quantization raise great challenges. In MIMO orthogonal frequency-divisionmodulation (OFDM) detection, coarse quantization renders the orthogonalseparation among subcarriers inapplicable, forcing us to deal with a problemthat has a very large problem size. In this paper we study theexpectation-maximization (EM) approach for one-bit MIMO-OFDM detection. Theidea is to iteratively decouple the MIMO-OFDM detection problem amongsubcarriers. Using the perspective of block coordinate descent, we describeinexact variants of the classical EM method for providing more flexible andcomputationally efficient designs. Simulation results are provided toillustrate the potential of the divide-and-conquer strategy enabled by EM.

Divide and Conquer: One-Bit MIMO-OFDM Detection by Inexact Expectation Maximization