Reinforcement Learning for Adaptive Resource Allocation in Fog RAN for IoT With Heterogeneous Latency Requirements

Reinforcement Learning for Adaptive Resource Allocation in Fog RAN for IoT With Heterogeneous Latency Requirements

In light of the quick proliferation of Internet of things (IoT) devices and applications, fog radio access network (Fog-RAN) has been recently proposed for fifth generation (5G) wireless communications to assure the requirements of ultra-reliable low-latency communication (URLLC) for the IoT applica...

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Bibliographic Details
Main Authors: Almuthanna Nassar, Yasin Yilmaz
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Resource allocation
fog RAN
5G cellular networks
low-latency communications
IoT
Markov decision process
Online Access:https://ieeexplore.ieee.org/document/8825838/

Internet

https://ieeexplore.ieee.org/document/8825838/

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