2 citations · 2 across the 12 of their papers we have counts for
7 papers · 1 filter
Large and Small Model Collaboration for Air Interface
Yiming Cui, Jiajia Guo, Xiao Li +2
Large artificial intelligence models (LAMs) have shown strong capability in wireless communications, yet existing works mainly rely on their generalized knowledge across environmen…
Large AI Models for Wireless Physical Layer
Jiajia Guo, Yiming Cui, Shi Jin +1
Large artificial intelligence models (LAMs) are transforming wireless physical layer technologies through their robust generalization, multitask processing, and multimodal capabili…
Limited Feedback in RIS-Assisted Wireless Communications: Use Cases, Challenges, and Future Directions
Weicong Chen, Jiajia Guo, Yiming Cui +2
Channel state information (CSI) is essential to unlock the potential of reconfigurable intelligent surfaces (RISs) in wireless communication systems. Since massive RIS elements are…
Semantic-aware Digital Twin for AI-based CSI Acquisition
Jiajia Guo, Yiming Cui, Shi Jin
Artificial intelligence (AI) substantially enhances channel state information (CSI) acquisition performance but is limited by its reliance on single-modality information and deploy…
AdapCsiNet: Environment-Adaptive CSI Feedback via Scene Graph-Aided Deep Learning
Jiayi Liu, Jiajia Guo, Yiming Cui +2
Accurate channel state information (CSI) is critical for realizing the full potential of multiple-antenna wireless communication systems. While deep learning (DL)-based CSI feedbac…
Exploring the Potential of Large Language Models for Massive MIMO CSI Feedback
Yiming Cui, Jiajia Guo, Chao-Kai Wen +2
Large language models (LLMs) have achieved remarkable success across a wide range of tasks, particularly in natural language processing and computer vision. This success naturally…
Prompt-Enabled Large AI Models for CSI Feedback
Jiajia Guo, Yiming Cui, Chao-Kai Wen +1
Artificial intelligence (AI) has emerged as a promising tool for channel state information (CSI) feedback. While recent research primarily focuses on improving feedback accuracy on…