activity
20232025
most citedMulti-Tier Computing-Enabled Digital Twin in 6G Networks

2 citations · 3 across the 4 of their papers we have counts for

collaborators

5 papers

eess.SY2025

Green Emergency Communications in RIS- and MA-Assisted Multi-UAV SAGINs: A Partially Observable Reinforcement Learning Approach

Liangshun Wu, Wen Chen, Shunqing Zhang +2

In post-disaster space-air-ground integrated networks (SAGINs), terrestrial infrastructure is often impaired, and unmanned aerial vehicles (UAVs) must rapidly restore connectivity…

eess.SP2025

Virtual-Real Collaborated Split Learning via Model Partitioning in IRS-Assisted IoT Networks

Jiaying Di, Kunlun Wang, Jing Xu +2

This paper investigates a novel computation and communication co-design framework for large-scale split learning in intelligent reflecting surface (IRS)-assisted internet of things…

eess.SP2025

Vehicular Multi-Tier Distributed Computing with Hybrid THz-RF Transmission in Satellite-Terrestrial Integrated Networks

Ni Zhang, Kunlun Wang, Wen Chen +3

In this paper, we propose a Satellite-Terrestrial Integrated Network (STIN) assisted vehicular multi-tier distributed computing (VMDC) system leveraging hybrid terahertz (THz) and…

cs.CR2024★ 1 cited

Digital Twin-Assisted Federated Learning with Blockchain in Multi-tier Computing Systems

Yongyi Tang, Kunlun Wang, Dusit Niyato +2

In Industry 4.0 systems, a considerable number of resource-constrained Industrial Internet of Things (IIoT) devices engage in frequent data interactions due to the necessity for mo…

cs.CR2023★ 2 cited

Multi-Tier Computing-Enabled Digital Twin in 6G Networks

Kunlun Wang, Yongyi Tang, Trung Q. Duong +3

Digital twin (DT) is the recurrent and common feature in discussions about future technologies, bringing together advanced communication, computation, and artificial intelligence,…