Publications (21)
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…
Large Language Models and Artificial Intelligence Generated Content Technologies Meet Communication Networks
Jie Guo, Meiting Wang, Hang Yin +4
Artificial intelligence generated content (AIGC) technologies, with a predominance of large language models (LLMs), have demonstrated remarkable performance improvements in various…
Practical MIMO-NOMA: Low Complexity & Capacity-Approaching Solution
Yuhao Chi, Lei Liu, Guanghui Song +3
MIMO-NOMA combines Multiple-Input Multiple-Output (MIMO) and Non-Orthogonal Multiple Access (NOMA), which can address heterogeneous challenges, such as massive connectivity, low la…
Message Passing in C-RAN: Joint User Activity and Signal Detection
Yuhao Chi, Lei Liu, Guanghui Song +3
In cloud radio access network (C-RAN), remote radio heads (RRHs) and users are uniformly distributed in a large area such that the channel matrix can be considered as sparse. Based…
Capacity Optimal Generalized Multi-User MIMO: A Theoretical and Practical Framework
Yuhao Chi, Lei Liu, Guanghui Song +3
Conventional multi-user multiple-input multiple-output (MU-MIMO) mainly focused on Gaussian signaling, independent and identically distributed (IID) channels, and a limited number…
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…