6G enabled smart infrastructure for sustainable society: Opportunities, challenges, and research roadmap

AL Imoize, O Adedeji, N Tandiya, S Shetty - Sensors, 2021 - mdpi.com
The 5G wireless communication network is currently faced with the challenge of limited data
speed exacerbated by the proliferation of billions of data-intensive applications. To address …

Applying machine learning techniques for caching in next-generation edge networks: A comprehensive survey

J Shuja, K Bilal, W Alasmary, H Sinky… - Journal of Network and …, 2021 - Elsevier
Edge networking is a complex and dynamic computing paradigm that aims to push cloud re-
sources closer to the end user improving responsiveness and reducing backhaul traffic …

A deep reinforcement learning based intrusion detection system (drl-ids) for securing wireless sensor networks and internet of things

H Benaddi, K Ibrahimi, A Benslimane… - Wireless Internet: 12th EAI …, 2020 - Springer
Many modern infrastructures incorporate a number of sensors and actuators interconnected
via wireless links using Wireless Sensor Network (WSN) and Internet of Things (IoT) …

Toward competitive multi-agents in Polo game based on reinforcement learning

Z Movahedi, A Bastanfard - Multimedia Tools and Applications, 2021 - Springer
The learning of agents in a competitive space such as a game is a challenging task. The aim
of the proposed research is to improve the reinforcement learning techniques in a …

Applying machine learning techniques for caching in edge networks: A comprehensive survey

J Shuja, K Bilal, W Alasmary, H Sinky… - arXiv preprint arXiv …, 2020 - arxiv.org
Edge networking is a complex and dynamic computing paradigm that aims to push cloud
resources closer to the end user improving responsiveness and reducing backhaul traffic …

A decoupled access scheme with reinforcement learning power control for cellular-enabled UAVs

Y Shi, MQ Hamdan, E Alsusa… - IEEE Internet of …, 2021 - ieeexplore.ieee.org
This article proposes a downlink/uplink decoupled (DUDe) access scheme for cellular-
enabled unmanned aerial vehicle (UAV) communication systems. To minimize interference …

DQN-GNN-Based User Association Approach for Wireless Networks

I Alablani, MJF Alenazi - Mathematics, 2023 - mdpi.com
In the realm of advanced mobile networks, such as the fifth generation (5G) and beyond, the
increasing complexity and proliferation of devices and unique applications present a …

[PDF][PDF] Machine learning methods for future-generation wireless networks

M Hamdan - 2023 - core.ac.uk
The wireless communication systems, particularly the vehicle to everything (V2X) wireless
networks, take advantage of machine learning (ML) to improve and overcome the issues …

Detection of DDoS attacks using supervised learning technique

MA Prriyadarshini, SR Devi - Journal of Physics: Conference …, 2020 - iopscience.iop.org
The development in digital technologies has been amplified by the drastic growth in the field
of digital media applications and it changes the entire life style of the people. The electronic …

Self-learning MAV under safety-guaranteed flight test environment

YH Sung, HY Kim, JH Han, DK Lee - AIAA Journal, 2022 - arc.aiaa.org
This paper presents a novel methodology for designing the flight control system of a micro
aerial vehicle (MAV); it allows the MAV to learn how to fly by itself, without the risk of …