Iterative Detection and Decoding in One-Bit Quantized MIMO Systems

Abstract

We consider the uplink of massive MIMO systems with one-bit quantization and propose an iterative detection and decoding (IDD) receiver based on a factor graph representation and the sum-product algorithm. We derive the relevant sum-product messages, introduce Gaussian approximations to control computational complexity, and describe the message schedule. Numerical experiments demonstrate that the BLER performance of our receiver is comparable to the state of the art, even though our method has much lower complexity - quadratic rather than exponential in the number of users - and hence scales well to large system configurations. We show that a proper scheduling of the decoding iterations substantially improves the error rate performance without increasing the computational complexity. In particular, we find that it is not beneficial to schedule the majority of decoding iterations in the initial detection iterations.