collaborators

5 papers

eess.SP2025

Collaborative Channel Access and Transmission for NR Sidelink and Wi-Fi Coexistence over Unlicensed Spectrum

Zhuangzhuang Yan, Xinyu Gu, Zhenyu Liu +1

With the rapid development of various internet of things (IoT) applications, including industrial IoT (IIoT) and visual IoT (VIoT), the demand for direct device-to-device communica…

cs.LG2025

Multivariate Wireless Link Quality Prediction Based on Pre-trained Large Language Models

Zhuangzhuang Yan, Xinyu Gu, Shilong Fan +1

Accurate and reliable link quality prediction (LQP) is crucial for optimizing network performance, ensuring communication stability, and enhancing user experience in wireless commu…

eess.SP2024

A CSI Feedback Framework based on Transmitting the Important Values and Generating the Others

Zhilin Du, Zhenyu Liu, Haozhen Li +3

The application of deep learning (DL)-based channel state information (CSI) feedback frameworks in massive multiple-input multiple-output (MIMO) systems has significantly improved…

cs.IT2024

Generalizing Deep Learning-Based CSI Feedback in Massive MIMO via ID-Photo-Inspired Preprocessing

Zhenyu Liu, Yi Ma, Rahim Tafazolli

Deep learning (DL)-based channel state information (CSI) feedback has shown great potential in improving spectrum efficiency in massive MIMO systems. However, DL models optimized f…

cs.IT2024

Csi-LLM: A Novel Downlink Channel Prediction Method Aligned with LLM Pre-Training

Shilong Fan, Zhenyu Liu, Xinyu Gu +1

Downlink channel temporal prediction is a critical technology in massive multiple-input multiple-output (MIMO) systems. However, existing methods that rely on fixed-step historical…