6 papers
Low-Complexity Hybrid Precoding for Cell-Free Massive MU-MIMO ISAC Systems
Jun Zhu, Yin Xu, Aimin Tang +4
Integrated sensing and communication (ISAC) in cell-free (CF) massive multi-user multiple-input multiple-output (MU-MIMO) system is a promising architecture for high-rate communica…
Preconditioned Conjugate Gradient for MIMO-AFDM System
Jun Zhu, Yin Xu, Dazhi He +3
Affine frequency division multiplexing (AFDM) is a promising chirp-assisted multicarrier waveform for future high mobility communications. A significant challenge in MIMO-AFDM syst…
AI2MMUM: AI-AI Oriented Multi-Modal Universal Model Leveraging Telecom Domain Large Model
Tianyu Jiao, Zhuoran Xiao, Yihang Huang +9
Designing a 6G-oriented universal model capable of processing multi-modal data and executing diverse air interface tasks has emerged as a common goal in future wireless systems. Bu…
Addressing the Curse of Scenario and Task Generalization in AI-6G: A Multi-Modal Paradigm
Tianyu Jiao, Zhuoran Xiao, Yin Xu +9
Existing works on machine learning (ML)-empowered wireless communication primarily focus on monolithic scenarios and single tasks. However, with the blooming growth of communicatio…
Efficient Precoding in XL-MIMO-AFDM System
Jun Zhu, Yin Xu, Dazhi He +5
This paper explores the potential of affine frequency division multiplexing (AFDM) to mitigate the multiuser interference (MUI) problem by employing time-domain precoding in extrem…
Decentralized Hybrid Precoding for Massive MU-MIMO ISAC
Jun Zhu, Yin Xu, Dazhi He +3
Integrated sensing and communication (ISAC) is a very promising technology designed to provide both high rate communication capabilities and sensing capabilities. However, in Massi…