Joint Optimization of Resource Allocation and Task Offloading Strategies in Multi-Cell Dynamic MEC Systems Using Multi-Agent DRL

Joint Optimization of Resource Allocation and Task Offloading Strategies in Multi-Cell Dynamic MEC Systems Using Multi-Agent DRL

This paper focuses on minimizing the total energy consumption of a long-term delay-sensitive multi-cell mobile edge computing (MEC) system that serves continuously arriving mobile devices (MDs). The energy consumption minimization is achieved by jointly optimizing the task offloading proportions, tr...

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Bibliographic Details
Main Authors: Yuntao Hu, Ming Chen, Haowen Sun, Yinlu Wang, Yihan Cang
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Long-term multi-cell MEC systems
multi-agent deep reinforcement learning (MADRL)
embedding method
centralized training and decentralized execution (CTDE)
Online Access:https://ieeexplore.ieee.org/document/11059882/
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https://ieeexplore.ieee.org/document/11059882/

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