A deep reinforcement approach for computation offloading in MEC dynamic networks

A deep reinforcement approach for computation offloading in MEC dynamic networks

Abstract In this study, we investigate the challenges associated with dynamic time slot server selection in mobile edge computing (MEC) systems. This study considers the fluctuating nature of user access at edge servers and the various factors that influence server workload, including offloading pol...

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Bibliographic Details
Main Authors: Yibiao Fan, Xiaowei Cai
Format: Article
Language:English
Published: SpringerOpen 2024-04-01
Series:EURASIP Journal on Advances in Signal Processing
Subjects:
Edge servers
Dynamic users
Computation offloading
Dynamic tasks
Reinforcement learning
Online Access:https://doi.org/10.1186/s13634-024-01142-2

Internet

https://doi.org/10.1186/s13634-024-01142-2

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