Sparsity Learning Based Blind Signal Detection for Massive MIMO with Generalized Spatial Modulation

Abstract

In this paper, we study joint antenna activity detection, channel estimation, and multiuser detection for massive multiple-input multiple-output (MIMO) systems with general spatial modulation (GSM). We establish a double-sparsity massive MIMO model by considering the channel sparsity of the massive MIMO channel and the signal sparsity of GSM. Based on the double-sparsity model, we develop the message-passing based blind channel-and-signal estimation (BCSE) algorithm to efficiently exploit the channel and the signal sparsity. We show that BCSE significantly outperforms the state-of-the-art blind detection and training-based algorithms for massive MIMO systems with GSM.