Data-Driven Deep MIMO Detection:Network Architectures and Generalization Analysis

Ali Nemati5 days ago27 sec read20 views

The paper introduces GNNSIC, a graph-based neural network approach for MU-MIMO symbol detection, which improves upon DeepSIC by reducing complexity while maintaining or enhancing performance through parameter sharing across users and iterations. This advancement is crucial for content creators working in wireless communications as it offers a more efficient and theoretically grounded method to handle interference and CSI uncertainty in data-driven receiver designs.

Read the full article at arXiv cs.LG (ML)

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