Reinforcement learning-based resource management model for fog radio access network architectures in 5G

NN Khumalo, OO Oyerinde, L Mfupe - IEEE Access, 2021 - ieeexplore.ieee.org
The need to cope with the continuously growing number of connected users and the
increased demand for mobile broadband services in the Internet of Things has led to the …

Reinforcement learning-based computation resource allocation scheme for 5G fog-radio access network

N Khumalo, O Oyerinde, L Mfupe - 2020 Fifth International …, 2020 - ieeexplore.ieee.org
Fog computing has emerged as one of the key building blocks of fifth generation mobile
networks (5G) because of its ability to effectively meet the demands of real-time or latency …

Deep reinforcement learning based computation offloading and resource allocation for low-latency fog radio access networks

GMS Rahman, T Dang, M Ahmed - Intelligent and Converged …, 2020 - ieeexplore.ieee.org
Fog Radio Access Networks (F-RANs) have been considered a groundbreaking technique
to support the services of Internet of Things by leveraging edge caching and edge …

A joint learning and game-theoretic approach to multi-dimensional resource management in fog radio access networks

Y Sun, S Chen, Z Wang, S Mao - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Fog radio access networks (F-RANs) have been regarded as a promising paradigm to
support latency-sensitive and computation-intensive services by leveraging computing and …

Deep reinforcement learning‐based joint optimization of computation offloading and resource allocation in F‐RAN

S Jo, U Kim, J Kim, C Jong, C Pak - IET communications, 2023 - Wiley Online Library
The fog radio access network (F‐RAN) has been regarded as a promising wireless access
network architecture in the fifth generation (5G) and beyond systems to satisfy the increasing …

Deep reinforcement learning-based mode selection and resource management for green fog radio access networks

Y Sun, M Peng, S Mao - IEEE Internet of Things Journal, 2018 - ieeexplore.ieee.org
Fog radio access networks (F-RANs) are seen as potential architectures to support services
of Internet of Things by leveraging edge caching and edge computing. However, current …

Reinforcement learning based resource management for fog computing environment: Literature review, challenges, and open issues

H Tran-Dang, S Bhardwaj, T Rahim… - Journal of …, 2022 - ieeexplore.ieee.org
In the IoT-based systems, the fog computing allows the fog nodes to offload and process
tasks requested from IoT-enabled devices in a distributed manner instead of the centralized …

Reinforcement learning for adaptive resource allocation in fog RAN for IoT with heterogeneous latency requirements

A Nassar, Y Yilmaz - IEEE Access, 2019 - ieeexplore.ieee.org
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 …

Resource allocation in fog RAN for heterogeneous IoT environments based on reinforcement learning

A Nassar, Y Yilmaz - ICC 2019-2019 IEEE International …, 2019 - ieeexplore.ieee.org
Fog radio access network (F-RAN) has been recently proposed to satisfy the low-latency
communication requirements of Internet of Things (IoT) applications. We consider the …

An intelligent resource management method in SDN based fog computing using reinforcement learning

M Anoushee, M Fartash, J Akbari Torkestani - Computing, 2024 - Springer
Nowadays, cloud computing faces growing challenges, furthermore, responding to time-
sensitive requests in the traditional cloud computing model is one of the major challenges …