1 citations · 1 across the 4 of their papers we have counts for
4 papers
Networked Tracking of Multiple Moving Targets in 6G Network
Yanmo Hu, Weifeng Zhu, Chenshu Wu +3
This paper considers a networked tracking architecture in 6G integrated sensing and communication (ISAC) systems, where multiple base stations (BSs) cooperatively transmit radio si…
Deep Learning for Hierarchical Beam Alignment in mmWave Communication Systems
Junyi Yang, Weifeng Zhu, Meixia Tao
Fast and precise beam alignment is crucial to support high-quality data transmission in millimeter wave (mmWave) communication systems. In this work, we propose a novel deep learni…
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…