A comprehensive review on edge caching from the perspective of total process: Placement, policy and delivery

H Wu, Y Fan, Y Wang, H Ma, L Xing - Sensors, 2021 - mdpi.com
With the explosive growth of smart devices and mobile applications, mobile core networks
face the challenge of exponential growth in traffic and computing demand. Edge caching is …

QoE-driven IoT architecture: a comprehensive review on system and resource management

B Saovapakhiran, W Naruephiphat… - IEEE …, 2022 - ieeexplore.ieee.org
Internet of Things (IoT) services have grown substantially in recent years. Consequently, IoT
service providers (SPs) are emerging in the market and competing to offer their services …

Deep and reinforcement learning for automated task scheduling in large‐scale cloud computing systems

G Rjoub, J Bentahar, O Abdel Wahab… - Concurrency and …, 2021 - Wiley Online Library
Cloud computing is undeniably becoming the main computing and storage platform for
today's major workloads. From Internet of things and Industry 4.0 workloads to big data …

A survey on reinforcement learning-aided caching in heterogeneous mobile edge networks

N Nomikos, S Zoupanos, T Charalambous… - IEEE Access, 2022 - ieeexplore.ieee.org
Mobile networks experience a tremendous increase in data volume and user density due to
the massive number of coexisting users and devices. An efficient technique to alleviate this …

Recommendation-driven multi-cell cooperative caching: A multi-agent reinforcement learning approach

X Zhou, Z Ke, T Qiu - IEEE Transactions on Mobile Computing, 2023 - ieeexplore.ieee.org
In 5G small cell networks, edge caching is a key technique to alleviate the backhaul burden
by caching user desired contents at network edges such as small base stations (SBSs) …

Cooperative edge caching via federated deep reinforcement learning in fog-rans

M Zhang, Y Jiang, FC Zheng… - 2021 IEEE …, 2021 - ieeexplore.ieee.org
In this paper, cooperative edge caching problem is investigated in fog radio access networks
(F-RANs). By considering the non-deterministic polynomial hard (NP-hard) property of this …

Double Deep Q-Network based Joint Edge Caching and Content Recommendation with Inconsistent File Sizes in Fog-RANs

J Yan, M Zhang, Y Jiang, FC Zheng… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
In this paper, the joint edge caching and content recommendation problem for the case of
inconsistent file sizes is investigated for fog radio access networks (F-RANs). Firstly, we …

Latency-Aware Radio Resource Optimization in Learning-Based Cloud-Aided Small Cell Wireless Networks

S Tamoor-ul-Hassan, S Samarakoon… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Low latency communication is one of the fundamental requirements for 5G wireless
networks and beyond. In this paper, a novel approach for joint caching, user scheduling and …

Distributed edge caching with content recommendation in fog-rans via deep reinforcement learning

J Yan, Y Jiang, F Zheng, FR Yu… - 2020 IEEE International …, 2020 - ieeexplore.ieee.org
In this paper, the distributed edge caching problem with dynamic content recommendation is
investigated in fog radio access networks (F-RANs). Firstly, the joint caching and …

Decentralized multi-agent multi-armed bandit learning with calibration for multi-cell caching

X Xu, M Tao - IEEE Transactions on Communications, 2020 - ieeexplore.ieee.org
This paper investigates online decentralized cache strategy design in multi-cell networks
without the knowledge of user preference. The goal is to minimize the cumulative …