422 citations · 2k across the 112 of their papers we have counts for
12 papers · 1 filter
How to Differentiate between Near Field and Far Field: Revisiting the Rayleigh Distance
Shu Sun, Renwang Li, Chong Han +3
Future wireless systems are likely to adopt extremely large aperture arrays to achieve higher throughput, wider coverage, and higher spatial resolution. Conventional wireless syste…
Hierarchical Beam Alignment for Millimeter-Wave Communication Systems: A Deep Learning Approach
Junyi Yang, Weifeng Zhu, Meixia Tao +1
Fast and precise beam alignment is crucial for high-quality data transmission in millimeter-wave (mmWave) communication systems, where large-scale antenna arrays are utilized to ov…
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…
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 Learning for Wireless Coded Caching with Unknown and Time-Variant Content Popularity
Zhe Zhang, Meixia Tao
Coded caching is effective in leveraging the accumulated storage size in wireless networks by distributing different coded segments of each file in multiple cache nodes. This paper…