From the 1 of 5 linked papers with an AI index.
5 papers
Cross-Field Channel Parameter Estimation and Channel Characterization at THz Bands in Indoor Scenarios
Hengtai Chang, Cheng-Xiang Wang, Cunhua Pan +4
The paper presents indoor terahertz (260‑380 GHz) channel measurements with a virtual uniform linear array and introduces a cross‑field SAGE algorithm that jointly estimates near‑f…
A Hybrid Near-field Indoor Channel Model for THz Bands Based on Surface Scattering Characteristics
Yongchao He, Taihao Zhang, Cunhua Pan +6
Terahertz (THz) communication and extremely large-scale MIMO (XL-MIMO) are essential for achieving ultra-high data rates in future 6G systems. However, at sub-millimeter wavelength…
Large-Model AI for Near Field Beam Prediction: A CNN-GPT2 Framework for 6G XL-MIMO
Wang Liu, Cunhua Pan, Hong Ren +3
The emergence of extremely large-scale antenna arrays (ELAA) in millimeter-wave (mmWave) communications, particularly in high-mobility scenarios, highlights the importance of near-…
Exploring the Advantages of Sparse Arrays in Near-Field XL-MIMO Systems: Beam Analysis and EDoF Function
Xianzhe Chen, Hong Ren, Cunhua Pan +2
This paper investigates near-field XL-MIMO systems with sparse uniform planar arrays (UPAs). Based on the Green's function-based channel model, the paper derives closed-form expres…
Low-Complexity Iterative Precoding Design for Near-field Multiuser Systems With Spatial Non-Stationarity
Mengyu Liu, Cunhua Pan, Kangda Zhi +4
Extremely large antenna arrays (ELAA) are regarded as a promising technology for supporting sixth-generation (6G) networks. However, the large number of antennas significantly incr…