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20182023
most citedDecentralized Power Allocation for MIMO-NOMA Vehicular Edge Computing Based on Deep Reinforcement Learning

124 citations · 297 across the 10 of their papers we have counts for

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7 papers · 1 filter

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.NI2022★ 1 cited

High stable and accurate vehicle selection scheme based on federated edge learning in vehicular networks

Qiong Wu, Xiaobo Wang, Qiang Fan +3

Federated edge learning (FEEL) technology for vehicular networks is considered as a promising technology to reduce the computation workload while keeping the privacy of users. In t…

cs.NI2021★ 39 cited

Velocity-adaptive Access Scheme for MEC-assisted Platooning Networks: Access Fairness Via Data Freshness

Qiong Wu, Ziyang Wan, Qiang Fan +2

Platooning strategy is an important part of autonomous driving technology. Due to the limited resource of autonomous vehicles in platoons, mobile edge computing (MEC) is usually us…

cs.NI2021★ 124 cited

Decentralized Power Allocation for MIMO-NOMA Vehicular Edge Computing Based on Deep Reinforcement Learning

Hongbiao Zhu, Qiong Wu, Xiaojun Wu +3

Vehicular edge computing (VEC) is envisioned as a promising approach to process the explosive computation tasks of vehicular user (VU). In the VEC system, each VU allocates power t…

cs.NI2020★ 79 cited

Delay Sensitive Task Offloading in the 802.11p Based Vehicular Fog Computing Systems

Qiong Wu, Hanxu Liu, Ruhai Wang +3

Vehicular fog computing (VFC) is envisioned as a promising solution to process the explosive tasks in autonomous vehicular networks. In the VFC system, task offloading is the key t…

cs.NI2020★ 28 cited

Time-dependent Performance Analysis of the 802.11p-based Platooning Communications Under Disturbance

Qiong Wu, Hongmei Ge, Pingyi Fan +3

Platooning is a critical technology to realize autonomous driving. Each vehicle in platoons adopts the IEEE 802.11p standard to exchange information through communications to maint…

cs.NI2018★ 23 cited

A Swarming Approach to Optimize the One-hop Delay in Smart Driving Inter-platoon Communications

Qiong Wu, Shuzhen Nie, Pingyi Fan +3

In this paper, we propose a swarming approach and optimize the one-hop delay for interplatoon communications through adjusting the minimum contention window size of each backbone v…