activity
20192026
most citedRevenue and Energy Efficiency-Driven Delay Constrained Computing Task Offloading and Resource Allocation in a Vehicular Edge Computing Network: A Deep Reinforcement Learning Approach

5 citations · 8 across the 32 of their papers we have counts for

collaborators
Showing 2020Show all

4 papers · 1 filter

cs.MM2020★ 5 cited

Revenue and Energy Efficiency-Driven Delay Constrained Computing Task Offloading and Resource Allocation in a Vehicular Edge Computing Network: A Deep Reinforcement Learning Approach

Xinyu Huang, Lijun He, Xing Chen +2

For in-vehicle application,task type and vehicle state information, i.e., vehicle speed, bear a significant impact on the task delay requirement. However, the joint impact of task…

cs.NI2020

Vehicle Speed Aware Computing Task Offloading and Resource Allocation Based on Multi-Agent Reinforcement Learning in a Vehicular Edge Computing Network

Xinyu Huang, Lijun He, Wanyue Zhang

For in-vehicle application, the vehicles with different speeds have different delay requirements. However, vehicle speeds have not been extensively explored, which may cause mismat…

cs.NI2020

Playback experience driven cross layer optimisation of APP, transport and MAC layer for video clients over long-term evolution system

Xinyu Huang, Lijun He

In traditional communication system, information of APP (Application) layer, transport layer and MAC (Media Access Control)layer has not been fully interacted,which inevitably lead…

cs.MM2020★ 2 cited

Towards 5G: Joint Optimization of Video Segment Cache, Transcoding and Resource Allocation for Adaptive Video Streaming in a Muti-access Edge Computing Network

Xinyu Huang, Lijun He, Liejun Wang +1

The cache and transcoding of the multi-access edge computing (MEC) server and wireless resource allocation in eNodeB interact and determine the quality of experience (QoE) of dynam…