collaborators

5 papers

eess.SP2026

Channel Map-Based Channel Estimation for Near-Field UM-MIMO with Movable Planar Arrays

Shuaifei Chen, Cheng-Xiang Wang, Chen Huang +4

Accurate channel estimation is essential for coherent transmission in ultra-massive multiple-input multiple-output (UM-MIMO) systems, where near-field propagation and high-dimensio…

cs.IT2026

Where to Perform Channel Measurements for CKM Construction: A Random Field Theory Analysis

Yuxuan Song, Yong Zeng, Xiping Wu +3

Channel knowledge map (CKM) is regarded as a promising technology for future sixth-generation (6G) networks, facilitating environmental-aware wireless communication, sensing, and l…

eess.SP2026

Channel Charting With Physical Channel Fingerprints For Massive MIMO-OFDM Channel Acquisition

Jinke Tang, Xiqi Gao, Li You +2

The advancement of 6G mobile communication and positioning technologies has amplified the significance of location-aware tools, such as location-indexed channel fingerprints (CFs)…

cs.IT2025

Joint Low-Rank and Sparse Bayesian Channel Estimation for Ultra-Massive MIMO Communications

Jianghan Ji, Cheng-Xiang Wang, Shuaifei Chen +3

This letter investigates channel estimation for ultra-massive multiple-input multiple-output (MIMO) communications. We propose a joint low-rank and sparse Bayesian estimation (LRSB…

eess.SP2025

An Efficient Pre-Processing Method for 6G Dynamic Ray-Tracing Channel Modeling

Songjiang Yang, Cheng-Xiang Wang, Yinghua Wang +3

The ray-tracing is often employed in urban areas for channel modeling with high accuracy but encounters a substantial computational complexity for high mobility scenarios. In this…