Learning to Optimize Resource Assignment for Task Offloading in Mobile Edge Computing-Reference-Cited by-同舟云学术

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Learning to Optimize Resource Assignment for Task Offloading in Mobile Edge Computing

Published:2022-06 Issue:6 Volume:26 Page:1303-1307
ISSN:1089-7798
Container-title:IEEE Communications Letters
language:
Short-container-title:IEEE Commun. Lett.

Author:

Qian Yurong¹^ORCID,Xu Jindan¹^ORCID,Zhu Shuhan¹^ORCID,Xu Wei¹^ORCID,Fan Lisheng²^ORCID,Karagiannidis George K.³^ORCID

Affiliation:

1. National Mobile Communications Research Laboratory, Southeast University, Nanjing, China

2. School of Computer Science, Guangzhou University, Guangzhou, China

3. Electrical and Computer Engineering Department, Aristotle University of Thessaloniki, Thessaloniki, Greece

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Modeling and Simulation

Link

http://xplorestaging.ieee.org/ielx7/4234/9792320/09737018.pdf?arnumber=9737018

Reference13 articles.

1. A Novel Cross Entropy Approach for Offloading Learning in Mobile Edge Computing

2. Latency Minimization for D2D-Enabled Partial Computation Offloading in Mobile Edge Computing

3. Deep-Learning-Based Wireless Resource Allocation With Application to Vehicular Networks

4. Deep Reinforcement Learning for Online Computation Offloading in Wireless Powered Mobile-Edge Computing Networks

5. Energy-efficient dynamic offloading and resource scheduling in mobile cloud computing

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1. Deep Reinforcement Learning Method for Task Offloading in Mobile Edge Computing Networks Based on Parallel Exploration with Asynchronous Training;Mobile Networks and Applications;2024-08-28

2. Optimizing energy efficiency in MEC networks: a deep learning approach with Cybertwin-driven resource allocation;Journal of Cloud Computing;2024-08-03

3. Task offloading method based on CNN-LSTM-attention for cloud–edge–end collaboration system;Internet of Things;2024-07

4. Data-Driven Energy Efficiency Modeling in Large-Scale Networks: An Expert Knowledge and ML-Based Approach;IEEE Transactions on Machine Learning in Communications and Networking;2024

5. Deep Reinforcement Learning for Multi-Hop Offloading in UAV-Assisted Edge Computing;IEEE Transactions on Vehicular Technology;2023-12

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