activity
20092026
most citedFundamental Green Tradeoffs: Progresses, Challenges, and Impacts on 5G Networks

350 citations · 902 across the 57 of their papers we have counts for

collaborators

57 papers

eess.SP2026★ 13 cited

AI-Driven Channel State Information (CSI) Extrapolation for 6G: Current Situations, Challenges and Future Research

Yuan Gao, Zichen Lu, Xinyi Wu +7

CSI extrapolation is an effective method for acquiring channel state information (CSI), essential for optimizing performance of sixth-generation (6G) communication systems. Traditi…

eess.SP2025★ 12 cited

SSNet: Flexible and robust channel extrapolation for fluid antenna systems enabled by an self-supervised learning framework

Yuan Gao, Yiming Liu, Runze Yu +5

Fluid antenna systems (FAS) signify a pivotal advancement in 6G communication by enhancing spectral efficiency and robustness. However, obtaining accurate channel state information…

eess.SP2025★ 7 cited

Enabling 6G Through Multi-Domain Channel Extrapolation: Opportunities and Challenges of Generative Artificial Intelligence

Yuan Gao, Zichen Lu, Yifan Wu +5

Channel extrapolation has attracted wide attention due to its potential to acquire channel state information (CSI) with high accuracy and minimal overhead. This is becoming increas…

cs.LG2024

LinFormer: A Linear-based Lightweight Transformer Architecture For Time-Aware MIMO Channel Prediction

Yanliang Jin, Yifan Wu, Yuan Gao +3

The emergence of 6th generation (6G) mobile networks brings new challenges in supporting high-mobility communications, particularly in addressing the issue of channel aging. While…

cs.DC2023★ 1 cited

End-to-End Delay Minimization based on Joint Optimization of DNN Partitioning and Resource Allocation for Cooperative Edge Inference

Xinrui Ye, Yanzan Sun, Dingzhu Wen +2

Cooperative inference in Mobile Edge Computing (MEC), achieved by deploying partitioned Deep Neural Network (DNN) models between resource-constrained user equipments (UEs) and edge…

cs.NI2023★ 3 cited

Joint Optimization of Video-based AI Inference Tasks in MEC-assisted Augmented Reality Systems

Guangjin Pan, Heng Zhang, Shugong Xu +2

The high computational complexity and energy consumption of artificial intelligence (AI) algorithms hinder their application in augmented reality (AR) systems. However, mobile edge…