MFDROO: Matrix Factorization-Based Deep Reinforcement Learning Approach for Stable Online Offloading in Mobile Edge Networks-Reference-Cited by-同舟云学术

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MFDROO: Matrix Factorization-Based Deep Reinforcement Learning Approach for Stable Online Offloading in Mobile Edge Networks

Published:2024 Issue: Volume:12 Page:103764-103788
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Abdelazim Engy A.¹^ORCID,Eldayasti Sherif K.²,ElAttar Hussein M.²^ORCID,Aboul-Dahab Mohamed A.²^ORCID

Affiliation:

1. Department of Electronics and Communications, Faculty of Engineering, Modern Academy for Engineering and Technology, Cairo, Egypt

2. Department of Electronics and Communication, Arab Academy for Science, Technology and Maritime Transport, Cairo, Egypt

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/6287639/10380310/10613758.pdf?arnumber=10613758

Reference48 articles.

1. Cloud-Edge Orchestration for the Internet of Things: Architecture and AI-Powered Data Processing

2. A survey on computation offloading modeling for edge computing

3. Smart Technique for Cache-Assisted Device to Device Communications

4. A Truthful Online Mechanism for Collaborative Computation Offloading in Mobile Edge Computing

5. Deep Reinforcement Learning and Game Theory for Computation Offloading in Dynamic Edge Computing Markets

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