9 citations · 15 across the 6 of their papers we have counts for
6 papers
Digital Twin-Assisted Knowledge Distillation Framework for Heterogeneous Federated Learning
Xiucheng Wang, Nan Cheng, Longfei Ma +3
In this paper, to deal with the heterogeneity in federated learning (FL) systems, a knowledge distillation (KD) driven training framework for FL is proposed, where each user can se…
SigT: An Efficient End-to-End MIMO-OFDM Receiver Framework Based on Transformer
Ziyou Ren, Nan Cheng, Ruijin Sun +3
Multiple-input multiple-output and orthogonal frequency-division multiplexing (MIMO-OFDM) are the key technologies in 4G and subsequent wireless communication systems. Conventional…
On-Demand Resource Management for 6G Wireless Networks Using Knowledge-Assisted Dynamic Neural Networks
Longfei Ma, Nan Cheng, Xiucheng Wang +2
On-demand service provisioning is a critical yet challenging issue in 6G wireless communication networks, since emerging services have significantly diverse requirements and the ne…
Air-Ground Integrated Mobile Edge Networks: Architecture, Challenges and Opportunities
Nan Cheng, Wenchao Xu, Weisen Shi +5
The ever-increasing mobile data demands have posed significant challenges in the current radio access networks, while the emerging computation-heavy Internet of things (IoT) applic…
Connected Vehicular Transportation: Data Analytics and Traffic-dependent Networking
Cailian Chen, Tom Hao Luan, Xinping Guan +2
With onboard operating systems becoming increasingly common in vehicles, the real-time broadband infotainment and Intelligent Transportation System (ITS) service applications in fa…
Soft-Defined Heterogeneous Vehicular Network: Architecture and Challenges
Kan Zheng, Lu Hou, Hanlin Meng +3
Heterogeneous Vehicular NETworks (HetVNETs) can meet various quality-of-service (QoS) requirements for intelligent transport system (ITS) services by integrating different access n…