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

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

16 October 2020
Xinyu Huang
Lijun He
Xing Chen
Liejun Wang
Fan Li
ArXivPDFHTML

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

3 / 3 papers shown
Title
Task Offloading in Vehicular Edge Computing using Deep Reinforcement Learning: A Survey
Task Offloading in Vehicular Edge Computing using Deep Reinforcement Learning: A Survey
Ashab Uddin
Ahmed Hamdi Sakr
Ning Zhang
OffRL
62
0
0
10 Feb 2025
Enhancing Vehicular Networks with Generative AI: Opportunities and
  Challenges
Enhancing Vehicular Networks with Generative AI: Opportunities and Challenges
Teef David
Kassi Muhammad
Kevin Nassisid
Bronny Farus
37
1
0
01 Jul 2024
DNN Partitioning, Task Offloading, and Resource Allocation in Dynamic
  Vehicular Networks: A Lyapunov-Guided Diffusion-Based Reinforcement Learning
  Approach
DNN Partitioning, Task Offloading, and Resource Allocation in Dynamic Vehicular Networks: A Lyapunov-Guided Diffusion-Based Reinforcement Learning Approach
Zhang Liu
Hongyang Du
Junzhe Lin
Zhibin Gao
Lianfen Huang
Seyyedali Hosseinalipour
Dusit Niyato
34
7
0
11 Jun 2024
1