45 citations · 51 across the 9 of their papers we have counts for
5 papers · 1 filter
Deep Learning-based Low-Overhead Beam Alignment for mmWave Massive MIMO Systems
Weijie Jin, Jing Zhang, Hengtao He +3
Millimeter-wave massive multiple-input multiple-output systems employ highly directional beamforming to overcome severe path loss, and their performance critically depends on accur…
Data-Driven Deep MIMO Detection:Network Architectures and Generalization Analysis
Yongwei Yi, Xinping Yi, Wenjin Wang +2
In practical Multiuser Multiple-Input Multiple-Output (MU-MIMO) systems, symbol detection remains challenging due to severe inter-user interference and sensitivity to Channel State…
CKMDiff: A Generative Diffusion Model for CKM Construction via Inverse Problems with Learned Priors
Shen Fu, Yong Zeng, Zijian Wu +4
Channel knowledge map (CKM) is a promising technology to enable environment-aware wireless communications and sensing with greatly enhanced performance, by offering location-specif…
Channel Estimation for RIS-Aided MU-MIMO mmWave Systems with Practical Hybrid Architecture
Liuchang Zhuo, Cunhua Pan, Hong Ren +4
This paper proposes a correlation-based three-stage channel estimation strategy with low pilot overhead for reconfigurable intelligent surface (RIS)-aided millimeter wave (mmWave)…
RIS-Aided Near-Field Localization and Channel Estimation for the Sub-Terahertz System
Yijin Pan, Cunhua Pan, Shi Jin +1
The low hardware cost makes ultra-large (XL) reconfigurable intelligent surface (RIS) an attractive solution for the performance enhancement of localization and communication syste…