8 papers
TALSC: Timeliness-Aware Large-Small VLM Collaboration for Infrastructure-Assisted Autonomous Driving
Mengmeng Zhu, Yuxuan Sun, Wei Chen +1
The deployment of Vision-Language Models (VLMs) in autonomous driving (AD) systems is constrained by on-board computing power, restricting vehicles to small VLMs (SVLMs) with limit…
Hierarchical Online-Scheduling for Energy-Efficient Split Inference with Progressive Transmission
Zengzipeng Tang, Yuxuan Sun, Wei Chen +3
Device-edge collaborative inference with Deep Neural Networks (DNNs) faces fundamental trade-offs among accuracy, latency and energy consumption. Current scheduling exhibits two dr…
Timeliness-Oriented Scheduling and Resource Allocation in Multi-Region Collaborative Perception
Mengmeng Zhu, Yuxuan Sun, Yukuan Jia +3
Collaborative perception (CP) is a critical technology in applications like autonomous driving and smart cities. It involves the sharing and fusion of information among sensors to…
How to Adapt Wireless DJSCC Symbols to Rate Constrained Wired Networks?
Jiangyuan Guo, Wei Chen, Yuxuan Sun +1
Deep joint source-channel coding (DJSCC) has emerged as a robust alternative to traditional separate coding for communications through wireless channels. Existing DJSCC approaches…
Age of Information Aided Intelligent Grant-Free Massive Access for Heterogeneous mMTC Traffic
Zhongwen Sun, Wei Chen, Yuxuan Sun +1
With the arrival of 6G, the Internet of Things (IoT) traffic is becoming more and more complex and diverse. To meet the diverse service requirements of IoT devices, massive machine…
FedTeddi: Temporal Drift and Divergence Aware Scheduling for Timely Federated Edge Learning
Yuxuan Bai, Yuxuan Sun, Tan Chen +3
Federated edge learning (FEEL) enables collaborative model training across distributed clients over wireless networks without exposing raw data. While most existing studies assume…