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

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.