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 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 …

Computation offloading and resource allocation in F-RANs: A federated deep reinforcement learning approach

L Zhang, Y Jiang, FC Zheng… - 2022 IEEE international …, 2022 - ieeexplore.ieee.org
The fog radio access network (F-RAN) is a promising technology in which the user mobile
devices (MDs) can offload computation tasks to the nearby fog access points (F-APs). Due to …

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 …

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 …

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

F Jiang, R Ma, Y Gao, Z Gu - EURASIP Journal on Advances in Signal …, 2021 - Springer
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 …

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 …

Hierarchical offloading for delay-constrained applications in fog RAN

K Guo, M Sheng, J Tang, TQS Quek… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
By computation offloading, fog radio access network (RAN) can support delay-constrained
applications, since such a hierarchical network architecture enables parallel computing at …

On the design of computation offloading in fog radio access networks

Z Zhao, S Bu, T Zhao, Z Yin, M Peng… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
Based on a hierarchical cloud-fog computing-enabled paradigm, fog radio access networks
(F-RANs) can provide abundant resource to support the future mobile artificial intelligent …

Double DQN based computing offloading scheme for fog radio access networks

F Jiang, X Zhu, C Sun - 2021 IEEE/CIC International …, 2021 - ieeexplore.ieee.org
Fog radio access network (F-RAN) is regarded as a promising network architecture for
computing offloading. Due to the huge differences in computing and communication …