5 citations · 7 across the 7 of their papers we have counts for
4 papers · 1 filter
Generative Deep Learning for CSI Feedback in Massive MIMO via Channel Distribution Prediction
Liujia Yao, Changsheng You, Chao Zhou +2
Existing deep-learning-based channel state information (CSI) feedback methods reduce feedback overhead by compressing high-dimensional CSI into low-dimensional representations and/…
MA-enhanced Mixed Near-field and Far-field Covert Communications
Chao Zhou, Changsheng You, Cong Zhou +2
In this paper, we propose to employ a modular-based movable extremely large-scale array (XL-array) at Alice for enhancing covert communication performance. Compared with existing w…
Multi-beam Training for Near-field Communications in High-frequency Bands
Cong Zhou, Changsheng You, Zixuan Huang +4
In this paper, we study efficient multi-beam training design for near-field communications to reduce the beam training overhead of conventional single-beam training methods. In par…
Joint Channel Estimation and Cooperative Localization for Near-Field Ultra-Massive MIMO
Ruoxiao Cao, Hengtao He, Xianghao Yu +5
The next-generation wireless networks are envisioned to jointly support high-rate communications and ubiquitous sensing. Ultra-Massive Multiple-Input Multiple-Output (UM-MIMO) offe…