A New MIMO Detection Algorithm Based on the Gaussian Graphical Model

Abstract

The graphical models have been proven to be a very powerful and potential framework for addressing the inference problems. In this paper, we propose a new graphical model based algorithm for the detection of MIMO systems. The main feature of the algorithm lies in that it is implemented as a MRF-like graph, when combined with the Gaussian approximation and vector-based inference, our algorithm can lead to very promising performance, especially when the constellation size is small, with just linear complexity per symbol and memory requirement increases linearly with the number of transmit antennas. Simulation results collaborate with the analytical results, hence verifying the appeal of the algorithm for practical applications.