Multiuser detection for uplink large-scale MIMO under one-bit quantization

In large-scale Multiple Input Multiple Output (MIMO), the number of Base Station (BS) antennas reaches tens even hundreds. If so many radio frequency front-ends adopt the classical receivers, their cost and power consumption during the receiving mode would increase quickly. Consequently, we exploit one-bit Analog Digital Convertor (ADC) to design low-cost and low-power software defined radio receivers for the BS. However, the new problem is how the BS fulfills Multiuser Detection (MUD) based on the one-bit baseband data. Based on the Message Passing De-Quantization (MPDQ) algorithm, an iterative multiuser detector is constructed. Its convergence properties is analyzed by the State Evolution (SE), and then its complexity is proved to be one order of magnitude smaller than that of the Minimum Mean Square Error (MMSE) detector. Simulation results show that the proposed detector outperforms MMSE. Finally, the proposed detector with matrix-vector multiplications is suitable for hardware implementation.