16 citations · 16 across the 11 of their papers we have counts for
11 papers
Edge-Side Residual Timing and Frequency Control for Software-Defined Ground Stations in 5G NTN Uplinks
Longji He, Elena Emma Wang, Xichun Wang +2
This paper studies a ground-segment implementation problem in 5G non-terrestrial networks (NTN): once UE-side geometric pre-compensation has produced a coarse timing/frequency prio…
Joint Computing Resource Allocation and Task Offloading in Vehicular Fog Computing Systems Under Asymmetric Information
Geng Sun, Siyi Chen, Zemin Sun +5
Vehicular fog computing (VFC) has emerged as a promising paradigm, which leverages the idle computational resources of nearby fog vehicles (FVs) to complement the computing capabil…
IRS-assisted Edge Computing for Vehicular Networks: A Generative Diffusion Model-based Stackelberg Game Approach
Yixian Wang, Geng Sun, Zemin Sun +3
Recent advancements in intelligent reflecting surfaces (IRS) and mobile edge computing (MEC) offer new opportunities to enhance the performance of vehicular networks. However, meet…
JC5A: Service Delay Minimization for Aerial MEC-assisted Industrial Cyber-Physical Systems
Geng Sun, Jiaxu Wu, Zemin Sun +5
In the era of the sixth generation (6G) and industrial Internet of Things (IIoT), an industrial cyber-physical system (ICPS) drives the proliferation of sensor devices and computin…
Digital Twin-Assisted Space-Air-Ground Integrated Multi-Access Edge Computing for Low-Altitude Economy: An Online Decentralized Optimization Approach
Long He, Geng Sun, Zemin Sun +5
The emergence of space-air-ground integrated multi-access edge computing (SAGIMEC) networks opens a significant opportunity for the rapidly growing low altitude economy (LAE), faci…
QoE Maximization for Multiple-UAV-Assisted Multi-Access Edge Computing via an Online Joint Optimization Approach
Long He, Geng Sun, Zemin Sun +5
In disaster scenarios, conventional terrestrial multi-access edge computing (MEC) paradigms, which rely on ground infrastructure, may become unavailable due to infrastructure damag…
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…
Generative AI for Game Theory-based Mobile Networking
Long He, Geng Sun, Dusit Niyato +5
With the continuous advancement of network technology, various emerging complex networking optimization problems have created a wide range of applications utilizing game theory. Ho…
An Online Joint Optimization Approach for QoE Maximization in UAV-Enabled Mobile Edge Computing
Long He, Geng Sun, Zemin Sun +4
Given flexible mobility, rapid deployment, and low cost, unmanned aerial vehicle (UAV)-enabled mobile edge computing (MEC) shows great potential to compensate for the lack of terre…
TJCCT: A Two-timescale Approach for UAV-assisted Mobile Edge Computing
Zemin Sun, Geng Sun, Qingqing Wu +6
Unmanned aerial vehicle (UAV)-assisted mobile edge computing (MEC) is emerging as a promising paradigm to provide aerial-terrestrial computing services in close proximity to mobile…
Joint Task Offloading and Resource Allocation in Aerial-Terrestrial UAV Networks with Edge and Fog Computing for Post-Disaster Rescue
Geng Sun, Long He, Zemin Sun +5
Unmanned aerial vehicles (UAVs) play an increasingly important role in assisting fast-response post-disaster rescue due to their fast deployment, flexible mobility, and low cost. H…