3 papers
eess.SP2024
LLM4CP: Adapting Large Language Models for Channel Prediction
Boxun Liu, Xuanyu Liu, Shijian Gao +2
Channel prediction is an effective approach for reducing the feedback or estimation overhead in massive multi-input multi-output (m-MIMO) systems. However, existing channel predict…
eess.SP2024
A LiDAR-Aided Channel Model for Vehicular Intelligent Sensing-Communication Integration
Ziwei Huang, Lu Bai, Mingran Sun +1
In this paper, a novel channel modeling approach, named light detection and ranging (LiDAR)-aided geometry-based stochastic modeling (LA-GBSM), is developed. Based on the developed…
eess.SP2024
Superposed IM-OFDM (S-IM-OFDM): An Enhanced OFDM for Integrated Sensing and Communications
Zonghui Yang, Shijian Gao, Xiang Cheng +1
Integrated sensing and communications (ISAC) is a critical enabler for emerging 6G applications, and at its core lies in the dual-functional waveform design. While orthogonal frequ…