most citedAI-Driven Channel State Information (CSI) Extrapolation for 6G: Current Situations, Challenges and Future Research

13 citations · 13 across the 2 of their papers we have counts for

collaborators

5 papers

eess.SP202613 cited

AI-Driven Channel State Information (CSI) Extrapolation for 6G: Current Situations, Challenges and Future Research

Yuan Gao, Zichen Lu, Xinyi Wu +7

CSI extrapolation is an effective method for acquiring channel state information (CSI), essential for optimizing performance of sixth-generation (6G) communication systems. Traditi…

eess.SP2025

Enhanced Fingerprint-based Positioning With Practical Imperfections: Deep learning-based approaches

Shugong Xu, Jun Jiang, Wenjun Yu +7

High-precision positioning is vital for cellular networks to support innovative applications such as extended reality, unmanned aerial vehicles (UAVs), and industrial Internet of T…

eess.SP2025

C2S-AE: CSI to Sensing enabled by an Auto-Encoder-based Framework

Jun Jiang, Shugong Xu, Wenjun Yu +1

Next-generation mobile networks are set to utilize integrated sensing and communication (ISAC) as a critical technology, providing significant support for sectors like the industri…

eess.SP2025

A MIMO Wireless Channel Foundation Model via CIR-CSI Consistency

Jun Jiang, Wenjun Yu, Yunfan Li +2

In the field of artificial intelligence, self-supervised learning has demonstrated superior generalization capabilities by leveraging large-scale unlabeled datasets for pretraining…

eess.SP2025

MTCA: Multi-Task Channel Analysis for Wireless Communication

Jun Jiang, Wenjun Yu, Yuan Gao +1

In modern wireless communication systems, the effective processing of Channel State Information (CSI) is crucial for enhancing communication quality and reliability. However, curre…