A reinforcement learning-based computing offloading and resource allocation scheme in F-RAN

A reinforcement learning-based computing offloading and resource allocation scheme in F-RAN

Abstract This paper investigates a computing offloading policy and the allocation of computational resource for multiple user equipments (UEs) in device-to-device (D2D)-aided fog radio access networks (F-RANs). Concerning the dynamically changing wireless environment where the channel state informat...

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Bibliographic Details
Main Authors: Fan Jiang, Rongxin Ma, Youjun Gao, Zesheng Gu
Format: Article
Language:English
Published: SpringerOpen 2021-10-01
Series:EURASIP Journal on Advances in Signal Processing
Subjects:
Fog radio access networks
Computing offloading
Resource allocation
Deep reinforcement learning
Dueling deep Q-network
Deep Q-network
Online Access:https://doi.org/10.1186/s13634-021-00802-x

Internet

https://doi.org/10.1186/s13634-021-00802-x

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