Learning-to-Transition for Large-scale and High-Order MIMO Detection
Updated
Updated · arxiv.org · Aug 14
Learning-to-Transition for Large-scale and High-Order MIMO Detection
1 articles · Updated · arxiv.org · Aug 14
Summary
Researchers have developed a new learning-to-transition (L2T) framework for large-scale and high-order MIMO detection in wireless communications.
The approach uses a channel-coupled Transformer and a blockwise autoregressive factorization to efficiently search the symbol space and improve detection accuracy.
This method could significantly enhance spectral efficiency and reliability in future wireless systems, especially for high-order modulation and dense MIMO scenarios.