Adaptive Channel Estimation and Interference Mitigation for Large-Scale MIMO Systems with 1-Bit ADCs

In this paper, we investigate adaptive channel estimation and linear interference mitigation for the uplink of large-scale antenna systems with I-bit analog-to-digital converters on each receive antenna. A novel low-resolution aware least-mean square channel estimation algorithm is proposed based on the low-complexity stochastic gradient descent method. Moreover, we also develop an algorithm for adaptively adjusting the parameters of the receive filter that performs mitigation of multiuser interference. In order to further improve the system performance, the proposed linear receiver is incorporated in an iterative detection and decoding scheme using short block length low-density parity-check codes. Simulation results show very good performance of the system in terms of mean square error and bit error rate.