activity
20162024
most citedIntelligent Task Offloading for Heterogeneous V2X Communications

6 citations · 22 across the 11 of their papers we have counts for

collaborators

11 papers

cs.CE2024★ 1 cited

RIS-aided Trajectory Optimization in Layered Urban Air Mobility

Kai Xiong, Supeng Leng, Liyuan Chen +3

Urban Air Mobility (UAM) relies on developing aerospace industries, where safe aviation and efficient communication are critical features of aircraft. However, it is challenging fo…

cs.IT2024

RIS-empowered Topology Control for Distributed Learning in Urban Air Mobility

Kai Xiong, Rui Wang, Supeng Leng +3

Urban Air Mobility (UAM) expands vehicles from the ground to the near-ground space, envisioned as a revolution for transportation systems. Comprehensive scene perception is the fou…

cs.IT2023

A Digital Twin Empowered Lightweight Model Sharing Scheme for Multi-Robot Systems

Kai Xiong, Zhihong Wang, Supeng Leng +1

Multi-robot system for manufacturing is an Industry Internet of Things (IIoT) paradigm with significant operational cost savings and productivity improvement, where Unmanned Aerial…

cs.NI2021

Intelligent Sensing Scheduling for Mobile Target Tracking Wireless Sensor Networks

Longyu Zhou, Supeng Leng, Qiang Liu +2

Edge computing has emerged as a prospective paradigm to meet ever-increasing computation demands in Mobile Target Tracking Wireless Sensor Networks (MTT-WSN). This paradigm can off…

cs.NI2021★ 4 cited

Secure and Efficient Blockchain based Knowledge Sharing for Intelligent Connected Vehicles

Haoye Chai, Supeng Leng, Fan Wu +1

The emergence of Intelligent Connected Vehicles (ICVs) shows great potential for future intelligent traffic systems, enhancing both traffic safety and road efficiency. However, the…

cs.DC2021

Connecting AI Learning and Blockchain Mining in 6G Systems

Yunkai Wei, Zixian An, Supeng Leng +1

The sixth generation (6G) systems are generally recognized to be established on ubiquitous Artificial Intelligence (AI) and distributed ledger such as blockchain. However, the AI t…