9 papers · 1 filter
AI-Driven Subcarrier-Level CQI Feedback
Chengyong Jiang, Jiajia Guo, Yuqing Hua +2
The Channel Quality Indicator (CQI) is a fundamental component of channel state information (CSI) that enables adaptive modulation and coding by selecting the optimal modulation an…
Power Consumption and Energy Efficiency of Mid-Band XL-MIMO: Modeling, Scaling Laws, and Performance Insights
Jiachen Tian, Yu Han, Xiao Li +2
Mid-band extra-large-scale multiple-input multiple-output (XL-MIMO), emerging as a critical enabler for future communication systems, is expected to deliver significantly higher th…
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…
Deep Learning-based Position-domain Channel Extrapolation for Cell-Free Massive MIMO
Jiajia Guo, Chao-Kai Wen, Xiao Li +1
To reduce channel acquisition overhead, spatial, time, and frequency-domain channel extrapolation techniques have been widely studied. In this paper, we propose a novel deep learni…
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…
Efficient Deployment of Deep MIMO Detection Using Learngene
Jinya Zhang, Jiajia Guo, Xiangyi Li +3
Deep learning (DL) has introduced a new paradigm in multiple-input multiple-output (MIMO) detection, balancing performance and complexity. However, the practical deployment of DL-b…
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…