3 citations · 8 across the 19 of their papers we have counts for
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eess.SP2023★ 1 cited
URLLC-Awared Resource Allocation for Heterogeneous Vehicular Edge Computing
Qiong Wu, Wenhua Wang, Pingyi Fan +3
Vehicular edge computing (VEC) is a promising technology to support real-time vehicular applications, where vehicles offload intensive computation tasks to the nearby VEC server fo…
cs.NI2023
Enhanced C-V2X Mode 4 to Optimize Age of Information and Reliability for IoV
Jiahou Chu, Qiong Wu, Qiang Fan +1
Internet of vehicles (IoV) has emerged as a key technology to realize real-time vehicular application. For IoV, vehicles adopt cellular vehicle-to-everything (C-V2X) standard to su…
cs.NI2023★ 3 cited
Delay-sensitive Task Offloading in Vehicular Fog Computing-Assisted Platoons
Qiong Wu, Siyuan Wang, Hongmei Ge +3
Vehicles in platoons need to process many tasks to support various real-time vehicular applications. When a task arrives at a vehicle, the vehicle may not process the task due to i…