GCEPNet: Graph Convolution-Enhanced Expectation Propagation for Massive MIMO Detection

arXiv:2404.14886v1 Announce Type: new
Abstract: Massive MIMO (multiple-input multiple-output) detection is an important topic in wireless communication and various machine learning based methods have been developed recently for this task. Expectation propagation (EP) and its variants are widely used for MIMO detection and have achieved the best performance. However, EP-based solvers fail to capture the correlation between unknown variables, leading to loss of information, and in addition, they are computationally expensive. In this paper, we show that the real-valued system …

abstract arxiv communication convolution cs.lg detection graph however machine machine learning massive multiple performance propagation type variants wireless