536 citations · 3k across the 45 of their papers we have counts for
6 papers · 1 filter
EnvCDiff: Joint Refinement of Environmental Information and Channel Fingerprints via Conditional Generative Diffusion Model
Zhenzhou Jin, Li You, Xiang-Gen Xia +1
The paradigm shift from environment-unaware communication to intelligent environment-aware communication is expected to facilitate the acquisition of channel state information for…
Channel Fingerprint Construction for Massive MIMO: A Deep Conditional Generative Approach
Zhenzhou Jin, Li You, Xudong Li +4
Accurate channel state information (CSI) acquisition for massive multiple-input multiple-output (MIMO) systems is essential for future mobile communication networks. Channel finger…
Near-Field Channel Estimation for XL-MIMO: A Deep Generative Model Guided by Side Information
Zhenzhou Jin, Li You, Derrick Wing Kwan Ng +2
This paper investigates the near-field (NF) channel estimation (CE) for extremely large-scale multiple-input multiple-output (XL-MIMO) systems. Considering the pronounced NF effect…
Statistical CSI Acquisition for Multi-frequency Massive MIMO Systems
Jinke Tang, Li You, Xinrui Gong +4
Multi-frequency massive multi-input multi-output (MIMO) communication is a promising strategy for both 5G and future 6G systems, ensuring reliable transmission while enhancing freq…
Massive MIMO-OFDM Channel Acquisition with Time-Frequency Phase-Shifted Pilots
Jinke Tang, Xiqi Gao, Li You +5
In this paper, we propose a channel acquisition approach with time-frequency phase-shifted pilots (TFPSPs) for massive multi-input multi-output orthogonal frequency division multip…
GNN-enabled Precoding for Massive MIMO LEO Satellite Communications
Huibin Zhou, Xinrui Gong, Christos G. Tsinos +3
Low Earth Orbit (LEO) satellite communication is a critical component in the development of sixth generation (6G) networks. The integration of massive multiple-input multiple-outpu…