activity
20192025
most citedWireless Network Digital Twin for 6G: Generative AI as A Key Enabler

102 citations · 145 across the 9 of their papers we have counts for

collaborators

9 papers

eess.SY2025★ 1 cited

TREE:Token-Responsive Energy Efficiency Framework For Green AI-Integrated 6G Networks

Tao Yu, Kaixuan Huang, Tengsheng Wang +7

As wireless networks evolve toward AI-integrated intelligence, conventional energy-efficiency metrics fail to capture the value of AI tasks. In this paper, we propose a novel EE me…

cs.NI2025

Energy Optimization of Multi-task DNN Inference in MEC-assisted XR Devices: A Lyapunov-Guided Reinforcement Learning Approach

Yanzan Sun, Jiacheng Qiu, Guangjin Pan +4

Extended reality (XR), blending virtual and real worlds, is a key application of future networks. While AI advancements enhance XR capabilities, they also impose significant comput…

cs.NI2023★ 102 cited

Wireless Network Digital Twin for 6G: Generative AI as A Key Enabler

Zhenyu Tao, Wei Xu, Yongming Huang +2

Digital twin, which enables emulation, evaluation, and optimization of physical entities through synchronized digital replicas, has gained increasing attention as a promising techn…

cs.IT2023★ 4 cited

Toward 6G Native-AI Network: Foundation Model based Cloud-Edge-End Collaboration Framework

Xiang Chen, Zhiheng Guo, Xijun Wang +5

Future wireless communication networks are in a position to move beyond data-centric, device-oriented connectivity and offer intelligent, immersive experiences based on multi-agent…

cs.NI2023★ 1 cited

Deterministic End-to-End Transmission to Optimize the Network Efficiency and Quality of Service: A Paradigm Shift in 6G

Xiaoyun Wang, Shuangfeng Han, Zhiming Liu +1

Toward end-to-end mobile service provision with optimized network efficiency and quality of service, tremendous efforts have been devoted in upgrading mobile applications, transpor…

cs.NI2023

Network Architecture Design toward Convergence of Mobile Applications and Networks

Shuangfeng Han, Zhiming Liu, Tao Sun +1

With the quick proliferation of extended reality (XR) services, the mobile communications networks are faced with gigantic challenges to meet the diversified and challenging servic…

eess.SP2022★ 1 cited

Multi-task Learning-based CSI Feedback Design in Multiple Scenarios

Xiangyi Li, Jiajia Guo, Chao-Kai Wen +3

For frequency division duplex systems, the essential downlink channel state information (CSI) feedback includes the links of compression, feedback, decompression and reconstruction…

cs.LG2022★ 1 cited

Designing Heterogeneous GNNs with Desired Permutation Properties for Wireless Resource Allocation

Jianyu Zhao, Chenyang Yang, Tingting Liu

Graph neural networks (GNNs) have been designed for learning a variety of wireless policies, i.e., the mappings from environment parameters to decision variables, thanks to their s…

eess.SP2019★ 35 cited

Two-Timescale Channel Estimation for Reconfigurable Intelligent Surface Aided Wireless Communications

Chen Hu, Linglong Dai

Channel estimation is challenging for the reconfigurable intelligent surface (RIS)-aided wireless communications. Since the number of coefficients of the cascaded channel among the…