1 citations · 1 across the 11 of their papers we have counts for
11 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…
Cooperative Multi-Cell Massive Access with Temporally Correlated Activity
Weifeng Zhu, Meixia Tao, Xiaojun Yuan +2
This paper investigates the problem of activity detection and channel estimation in cooperative multi-cell massive access systems with temporally correlated activity, where all acc…
Smaller Low-Depth Circuits for Kronecker Powers
Josh Alman, Yunfeng Guan, Ashwin Padaki
We give new, smaller constructions of constant-depth linear circuits for computing any matrix which is the Kronecker power of a fixed matrix. A standard argument (e.g., the mixed p…
Message Passing-Based Joint User Activity Detection and Channel Estimation for Temporally-Correlated Massive Access
Weifeng Zhu, Meixia Tao, Xiaojun Yuan +1
This paper studies the user activity detection and channel estimation problem in a temporally-correlated massive access system where a very large number of users communicate with a…
Double-Sided Information Aided Temporal-Correlated Massive Access
Weifeng Zhu, Meixia Tao, Yunfeng Guan
This letter considers temporal-correlated massive access, where each device, once activated, is likely to transmit continuously over several consecutive frames. Motivated by that t…
Deep-Learned Approximate Message Passing for Asynchronous Massive Connectivity
Weifeng Zhu, Meixia Tao, Xiaojun Yuan +1
This paper considers the massive connectivity problem in an asynchronous grant-free random access system, where a huge number of devices sporadically transmit data to a base statio…