A QoS-Aware DRL-Based Service Switching Approach for Vehicular Edge Computing-Reference-Cited by-同舟云学术

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A QoS-Aware DRL-Based Service Switching Approach for Vehicular Edge Computing

Published:2023-10-13 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE International Conference on Unmanned Systems (ICUS)
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Author:

Wang Xiaowei¹,Qiu Zixian²,Li Yang²,Qin Hongmao¹,Gao Ming²

Affiliation:

1. Wuxi Intelligent Control Research Institute of Hunan University,State Key Laboratory of Advanced Design and Manufacturing Technology for Vehicle,Changsha,China

2. State Key Laboratory of Advanced Design and Manufacturing Technology for Vehicle,Changsha,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10318219/10318220/10318491.pdf?arnumber=10318491

Reference16 articles.

1. An Adaptive Deep Q-learning Service Migration Decision Framework for Connected Vehicles

2. Reinforcement learning-based joint task offloading and migration schemes optimization in mobility-aware MEC network

3. Cloud Computing Performance Evaluation: Issues and Challenges

4. A survey on quality of service in cloud computing

5. Multi-Cell Mobile Edge Computing: Joint Service Migration and Resource Allocation

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