10 papers
A Universal Random Precoding Framework for MIMO Systems
Jiazhen Dong, Lei Liu, Xiaojun Yuan +1
Current wireless systems combat inter-symbol interference (ISI) by diagonalizing or sparsifying the channel matrix, yet they remain vulnerable to selective fading. To address this,…
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…
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…
Channel Estimation in Massive MIMO Systems with Orthogonal Delay-Doppler Division Multiplexing
Dezhi Wang, Chongwen Huang, Xiaojun Yuan +6
Orthogonal delay-Doppler division multiplexing~(ODDM) modulation has recently been regarded as a promising technology to provide reliable communications in high-mobility situations…
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…
Exploring Channel Estimation and Signal Detection for ODDM-based ISAC Systems
Dezhi Wang, Chongwen Huang, Lei Liu +5
Inspired by providing reliable communications for high-mobility scenarios, in this letter, we investigate the channel estimation and signal detection in integrated sensing and comm…
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…
Channel Mapping Based on Interleaved Learning with Complex-Domain MLP-Mixer
Zirui Chen, Zhaoyang Zhang, Zhaohui Yang +1
In multiple-input multiple-output (MIMO) orthogonal frequency division multiplexing (OFDM) systems, representing the whole channel only based on partial subchannels will significan…
Memory AMP for Generalized MIMO: Coding Principle and Information-Theoretic Optimality
Yufei Chen, Lei Liu, Yuhao Chi +2
To support complex communication scenarios in next-generation wireless communications, this paper focuses on a generalized MIMO (GMIMO) with practical assumptions, such as massive…
Low-Complexity and Information-Theoretic Optimal Memory AMP for Coded Generalized MIMO
Yufei Chen, Lei Liu, Yuhao Chi +2
This paper considers a generalized multiple-input multiple-output (GMIMO) with practical assumptions, such as massive antennas, practical channel coding, arbitrary input distributi…