Non-Orthogonal Multiple Access Enabled Mobile Edge Computing in 6G Communications: A Systematic Literature Review

RO Ogundokun, JB Awotunde, AL Imoize, CT Li… - Sustainability, 2023 - mdpi.com
Mobile edge computing (MEC) supported by non-orthogonal multiple access (NOMA) has
recently gained a lot of interest due to its improved ability to lessen power consumption and …

Resource management in UAV-assisted MEC: state-of-the-art and open challenges

Z Xiao, Y Chen, H Jiang, Z Hu, JCS Lui, G Min… - Wireless …, 2022 - Springer
Unmanned aerial vehicles (UAV) have been widely used in various fields because of their
high mobility and portability. At the same time, due to the rapid development of artificial …

Task offloading for cloud-assisted fog computing with dynamic service caching in enterprise management systems

X Dai, Z Xiao, H Jiang, M Alazab… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
In enterprise management systems (EMS), augmented Intelligence of Things (AIoT) devices
generate delay-sensitive and energy-intensive tasks for learning analytics, articulate …

Scheduling and Controlling Production in an Internet of Things Environment for Industry 4.0: An Analysis and Systematic Review of Scientific Metrological Data

L Tan, TL Kong, Z Zhang, ASM Metwally, S Sharma… - Sustainability, 2023 - mdpi.com
To review the present scenario of the research on the scheduling and control of the
production process in the manufacturing industry, this comprehensive article has extensively …

Federated Reinforcement Learning-Based Resource Allocation for D2D-Aided Digital Twin Edge Networks in 6G Industrial IoT

Q Guo, F Tang, N Kato - IEEE Transactions on Industrial …, 2022 - ieeexplore.ieee.org
The sixth generation (6G) is conceived to address the expected high level of requirements
(such as ultra-high-data-transmission rate, support for the highest moving speed and …

Deep reinforcement learning mechanism for deadline-aware cache placement in device-to-device mobile edge networks

MK Somesula, SK Mothku, A Kotte - Wireless Networks, 2023 - Springer
Caching the most likely to be requested content at the mobile devices in a cooperative
manner can facilitate direct content delivery without fetching content from the remote content …

Multi-agent DRL for joint completion delay and energy consumption with queuing theory in MEC-based IIoT

G Wu, Z Xu, H Zhang, S Shen, S Yu - Journal of Parallel and Distributed …, 2023 - Elsevier
Abstract In the Industrial Internet of Things (IIoT), there exist numerous sensor devices with
weak computing power and small energy storage. To meet the real-time and big data …

[HTML][HTML] An Optimal Scheduling Method in IoT-Fog-Cloud Network Using Combination of Aquila Optimizer and African Vultures Optimization

Q Liu, H Kosarirad, S Meisami, KA Alnowibet… - Processes, 2023 - mdpi.com
Today, fog and cloud computing environments can be used to further develop the Internet of
Things (IoT). In such environments, task scheduling is very efficient for executing user …

Analysis of the opportunities and costs of energy saving in lightning system of library buildings with the aid of building information modelling and Internet of things

Z Shao, Y Li, P Huang, AM Abed, E Ali… - Fuel, 2023 - Elsevier
The electrical lighting technique is one of the primary culprits behind a library's high energy
usage and operating expenses. Unfortunately, lighting systems are often unregulated …

[HTML][HTML] Development of a cloud-assisted classification technique for the preservation of secure data storage in smart cities

A Kumar, SB Khan, SK Pandey, A Shankar… - Journal of Cloud …, 2023 - Springer
Cloud computing is the most recent smart city advancement, made possible by the
increasing volume of heterogeneous data produced by apps. More storage capacity and …