A Low-Complexity Double EP-Based Detector for Iterative Detection and Decoding in MIMO

We propose a new iterative detection and decoding (IDD) algorithm for multiple-input multiple-output (MIMO) based on expectation propagation (EP) with application to massive MIMO scenarios. Two main results are presented. first introduce EP iteratively improve the Gaussian approximations of both estimation posterior by detector soft output channel decoder. With this novel approach, denoted double-EP (DEP), convergence is very much improved computational complexity just two times one linear minimum mean square error (LMMSE) IDD, as illustrated included experiments. Besides, in LMMSE detector, when number antennas increases, cost matrix inversion operation required DEP becomes unaffordable. In work we also develop approaches where covariance approximated using Gauss-Seidel Neumann series methods, respectively. This low-complexity has quadratic antennas, techniques. Experimental show that achieves performance ratio between transmitting receiving decreases.