From the 1 of 9 linked papers with an AI index.
6 papers · 1 filter
CSI-CLIP++: A Scalable Channel Foundation Model for Wireless Communication via CIR-CSI Consistency
Jun Jiang, Wenjun Yu, Yunfan Li +2
Self-supervised learning can exploit large-scale unlabeled channel data to improve the transferability of wireless AI models. Existing channel foundation models are often built on…
Towards channel foundation models (CFMs): Motivations, methodologies and opportunities
Jun Jiang, Yuan Gao, Xinyi Wu +1
Artificial intelligence (AI) has emerged as a pivotal enabler for next-generation wireless communication systems. However, conventional AI-based models encounter several limitation…
Dynamic Channel Charting: An LSTM-AE-based Approach
Yuan Gao, Wenjing Xie, Yiming Liu +3
With the development of the sixth-generation (6G) communication system, Channel State Information (CSI) plays a crucial role in improving network performance. Traditional Channel C…
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…
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…
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…