ICRA: An intelligent clustering routing approach for UAV ad hoc networks

J Guo, H Gao, Z Liu, F Huang, J Zhang… - IEEE transactions on …, 2022 - ieeexplore.ieee.org
As an important means of obtaining information of marine situation, the marine monitoring
system relying on UAV has been paid more and more attention by all countries in the world …

[HTML][HTML] A survey: Distributed Machine Learning for 5G and beyond

O Nassef, W Sun, H Purmehdi, M Tatipamula… - Computer Networks, 2022 - Elsevier
Abstract 5 G is the fifth generation of cellular networks. It enables billions of connected
devices to gather and share information in real time; a key facilitator in Industrial Internet of …

5G vehicular network resource management for improving radio access through machine learning

SK Tayyaba, HA Khattak, A Almogren, MA Shah… - IEEE …, 2020 - ieeexplore.ieee.org
The current cellular technology and vehicular networks cannot satisfy the mighty strides of
vehicular network demands. Resource management has become a complex and …

A survey of machine learning applications to handover management in 5G and beyond

MS Mollel, AI Abubakar, M Ozturk, SF Kaijage… - IEEE …, 2021 - ieeexplore.ieee.org
Handover (HO) is one of the key aspects of next-generation (NG) cellular communication
networks that need to be properly managed since it poses multiple threats to quality-of …

[HTML][HTML] A survey of deep learning based NOMA: State of the art, key aspects, open challenges and future trends

SAH Mohsan, Y Li, AV Shvetsov, J Varela-Aldás… - Sensors, 2023 - mdpi.com
Non-Orthogonal Multiple Access (NOMA) has become a promising evolution with the
emergence of fifth-generation (5G) and Beyond-5G (B5G) rollouts. The potentials of NOMA …

A survey on trust models in heterogeneous networks

J Wang, Z Yan, H Wang, T Li… - … Surveys & Tutorials, 2022 - ieeexplore.ieee.org
Heterogeneous networks (HetNets) merge different types of networks into an integrated
network system, which has become a hot research area in recent years towards next …

Comprehensive review on ML-based RIS-enhanced IoT systems: basics, research progress and future challenges

SK Das, F Benkhelifa, Y Sun, H Abumarshoud… - Computer Networks, 2023 - Elsevier
Sixth generation (6G) internet of things (IoT) networks will modernize the applications and
satisfy user demands through implementing smart and automated systems. Intelligence …

Intelligent offloading and resource allocation in heterogeneous aerial access IoT networks

DS Lakew, AT Tran, NN Dao… - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
Aerial access networks, comprising a hierarchical model of high-altitude platforms (HAPs)
and multiple unmanned aerial vehicles (UAVs), are considered a promising technology to …

[HTML][HTML] Ml-based 5g network slicing security: A comprehensive survey

R Dangi, A Jadhav, G Choudhary, N Dragoni… - Future Internet, 2022 - mdpi.com
Fifth-generation networks efficiently support and fulfill the demands of mobile broadband
and communication services. There has been a continuing advancement from 4G to 5G …

Explainable AI over the Internet of Things (IoT): Overview, state-of-the-art and future directions

SK Jagatheesaperumal, QV Pham… - IEEE Open Journal …, 2022 - ieeexplore.ieee.org
Explainable Artificial Intelligence (XAI) is transforming the field of Artificial Intelligence (AI) by
enhancing the trust of end-users in machines. As the number of connected devices keeps on …