8 papers
Soft Graph Diffusion Transformer for MIMO Detection
Nan Jiang, Jiadong Hong, Lei Liu +3
Learning-based MIMO detection has shown strong empirical performance, yet existing methods typically rely on fixed-depth architectures without explicitly modeling the progressive r…
Prediction--Loss Alignment for Sampler--Robust Flow Matching Training
Jiadong Hong, Lei Liu, Xinyu Bian +2
Recent work has popularized a practical recipe in diffusion and flow matching: predict the clean signal , convert it to a velocity, and train through a velocity-space loss. The…
Random Multiplexing
Lei Liu, Yuhao Chi, Shunqi Huang +1
As wireless communication applications evolve from traditional multipath environments to high-mobility scenarios like unmanned aerial vehicles, multiplexing techniques have advance…
Soft Graph Transformer for MIMO Detection
Jiadong Hong, Lei Liu, Xinyu Bian +2
We propose the Soft Graph Transformer (SGT), a soft-input-soft-output neural architecture designed for MIMO detection. While Maximum Likelihood (ML) detection achieves optimal accu…
Interleaved Block-Sparse Transform
Lei Liu, Ming Wang, Shufeng Li +3
Low-complexity Bayes-optimal memory approximate message passing (MAMP) is an efficient signal estimation algorithm in compressed sensing and multicarrier modulation. However, achie…
Interleave Frequency Division Multiplexing
Yuhao Chi, Lei Liu, Yao Ge +3
In this letter, we study interleave frequency division multiplexing (IFDM) for multicarrier modulation in static multipath and mobile time-varying channels, which outperforms ortho…