DRL-based Resource Allocation Optimization for Computation Offloading in Mobile Edge Computing-Reference-Cited by-同舟云学术

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DRL-based Resource Allocation Optimization for Computation Offloading in Mobile Edge Computing

Published:2022-05-02 Issue: Volume: Page:
ISSN:
Container-title:IEEE INFOCOM 2022 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)
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Author:

Wu Guowen¹,Zhao Yuhan¹,Shen Yizhou²,Zhang Hong¹,Shen Shigen³,Yu Shui⁴

Affiliation:

1. Donghua University,School of Computer Science and Technology,Shanghai,China

2. Cardiff University,School of Computer Science and Informatics,Cardiff,United Kingdom

3. Shaoxing University,Department of Computer Science and Engineering,Shaoxing,China

4. University of Technology Sydney,School of Computer Science,NSW,Australia

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9797887/9797888/09798323.pdf?arnumber=9798323

Reference15 articles.

1. Delay-Optimal Distributed Edge Computing in Wireless Edge Networks

2. Intelligent Delay-Aware Partial Computing Task Offloading for Multi-User Industrial Internet of Things through Edge Computing

3. A Deep Reinforcement Learning Based Offloading Game in Edge Computing

4. A Request Scheduling Optimization Mechanism Based on Deep Q-Learning in Edge Computing Environments

5. Collaborative Container-based Parked Vehicle Edge Computing Framework for Online Task Offloading

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1. Multi-Queue-Based Offloading Strategy for Deep Reinforcement Learning Tasks;Electronics;2024-06-13

2. Wireless Power Assisted Computation Offloading in Mobile Edge Computing: A Deep Reinforcement Learning Approach;HUM-CENT COMPUT INFO;2024

3. Computation offloading techniques in edge computing: A systematic review based on energy, QoS and authentication;Concurrency and Computation: Practice and Experience;2024-03-08

4. Enhancing Healthcare Systems With Deep Reinforcement Learning: Insights Into D2D Communications and Remote Monitoring;IEEE Open Journal of the Communications Society;2024

5. Computation Off-Loading in Resource-Constrained Edge Computing Systems Based on Deep Reinforcement Learning;IEEE Transactions on Computers;2024-01

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