activity
20222025
most citedBARGAIN-MATCH: A Game Theoretical Approach for Resource Allocation and Task Offloading in Vehicular Edge Computing Networks

207 citations · 207 across the 6 of their papers we have counts for

collaborators

6 papers

cs.NI2025

Diffusion-Model-enhanced Multiobjective Optimization for Improving Forest Monitoring Efficiency in UAV-enabled Internet-of-Things

Hongyang Pan, Bin Lin, Yanheng Liu +2

The Internet-of-Things (IoT) is widely applied for forest monitoring, since the sensor nodes (SNs) in IoT network are low-cost and have computing ability to process the monitoring…

eess.SP2025

Cooperative UAV-mounted RISs-assisted Energy-efficient Communications

Hongyang Pan, Yanheng Liu, Geng Sun +5

Cooperative reconfigurable intelligent surfaces (RISs) are promising technologies for 6G networks to support a great number of users. Compared with the fixed RISs, the properly dep…

cs.NI2025

Task Offloading and Resource Allocation for MEC-assisted Consumer Internet of Vehicle Systems

Yanheng Liu, Dalin Li, Hao Wu +5

Mobile edge computing (MEC)-assisted internet of vehicle (IoV) is emerging as a promising paradigm to provide computing services for vehicles. However, meeting the computing-sensit…

eess.SY2024

A Two Time-Scale Joint Optimization Approach for UAV-assisted MEC

Zemin Sun, Geng Sun, Long He +3

Unmanned aerial vehicles (UAV)-assisted mobile edge computing (MEC) is emerging as a promising paradigm to provide aerial-terrestrial computing services close to mobile devices (MD…

cs.NI2023

Resource Scheduling for UAVs-aided D2D Networks: A Multi-objective Optimization Approach

Hongyang Pan, Yanheng Liu, Geng Sun +2

Unmanned aerial vehicles (UAVs)-aided device-todevice (D2D) networks have attracted great interests with the development of 5G/6G communications, while there are several challenges…

cs.GT2022★ 207 cited

BARGAIN-MATCH: A Game Theoretical Approach for Resource Allocation and Task Offloading in Vehicular Edge Computing Networks

Zemin Sun, Geng Sun, Yanheng Liu +2

Vehicular edge computing (VEC) is emerging as a promising architecture of vehicular networks (VNs) by deploying the cloud computing resources at the edge of the VNs. This work aims…