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20242026
most citedAI-Driven Channel State Information (CSI) Extrapolation for 6G: Current Situations, Challenges and Future Research

13 citations · 35 across the 24 of their papers we have counts for

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11 papers · 1 filter

cs.NI2025

Sidelink Positioning: Standardization Advancements, Challenges and Opportunities

Yuan Gao, Guangjin Pan, Zhiyong Zhong +4

With the integration of cellular networks in vertical industries that demand precise location information, such as vehicle-to-everything (V2X), public safety, and Industrial Intern…

eess.SP2025★ 12 cited

SSNet: Flexible and robust channel extrapolation for fluid antenna systems enabled by an self-supervised learning framework

Yuan Gao, Yiming Liu, Runze Yu +5

Fluid antenna systems (FAS) signify a pivotal advancement in 6G communication by enhancing spectral efficiency and robustness. However, obtaining accurate channel state information…

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★ 7 cited

Enabling 6G Through Multi-Domain Channel Extrapolation: Opportunities and Challenges of Generative Artificial Intelligence

Yuan Gao, Zichen Lu, Yifan Wu +5

Channel extrapolation has attracted wide attention due to its potential to acquire channel state information (CSI) with high accuracy and minimal overhead. This is becoming increas…

cs.CV2025

Stage-wise Adaptive Label Distribution for Facial Age Estimation

Bo Wu, Zhiqi Ai, Jun Jiang +2

Label ambiguity poses a significant challenge in age estimation tasks. Most existing methods address this issue by modeling correlations between adjacent age groups through label d…

cs.CV2025

Stereo-based 3D Anomaly Object Detection for Autonomous Driving: A New Dataset and Baseline

Shiyi Mu, Zichong Gu, Hanqi Lyu +2

3D detection technology is widely used in the field of autonomous driving, with its application scenarios gradually expanding from enclosed highways to open conventional roads. For…

eess.SP2025

Towards channel foundation models (CFMs): Motivations, methodologies and opportunities

Jun Jiang, Yuan Gao, Xinyi Wu +1

Artificial intelligence (AI) models for wireless systems are commonly optimized for fixed tasks, channel distributions, and system configurations, which limits their reuse when dow…

cs.CV2025

Great X: A Unified Multi-Modal Simulator Bridging the Sim2Real Gap for 6G

Yuan Gao, Kongwu Huang, Jun Jiang +2

Large-scale, precisely synchronized multi-modal datasets are critical for data-driven sixth-generation (6G) wireless research, yet real-world collection remains costly and difficul…

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…