[PDF][PDF] Deep Semisupervised Learning-Based Network Anomaly Detection in Heterogeneous Information Systems.

N Lutsiv, T Maksymyuk, M Beshley… - … Materials & Continua, 2022 - cdn.techscience.cn
The extensive proliferation of modern information services and ubiquitous digitization of
society have raised cybersecurity challenges to new levels. With the massive number of …

Deep learning based adaptive handover optimization for ultra-dense 5G mobile networks

B Shubyn, N Lutsiv, O Syrotynskyi… - 2020 IEEE 15th …, 2020 - ieeexplore.ieee.org
An overview is devoted to the automation of fifth-generation mobile communications based
on the use of artificial intelligence. We suggest using GRU recurrent neural networks, as …

Cooperative LBT design and effective capacity analysis for 5G NR ultra dense networks in unlicensed spectrum

H Song, Q Cui, Y Gu, GL Stüber, Y Li, Z Fei… - IEEE Access, 2019 - ieeexplore.ieee.org
With the rapidly increasing demand of data traffic in fifth-generation (5G) wireless systems,
various sophisticated techniques have been developed to cope with the demand. New radio …

Machine learning-based solutions for handover decisions in non-terrestrial networks

MK Dahouda, S Jin, I Joe - Electronics, 2023 - mdpi.com
The non-terrestrial network (NTN) is a network that uses radio frequency (RF) resources
mounted on satellites and includes satellite-based communications networks, high altitude …

A Blockchain Token‐Based Trading Model for Secondary Spectrum Markets in Future Generation Mobile Networks

MA Khan, MM Jamali, T Maksymyuk… - … and Mobile Computing, 2020 - Wiley Online Library
Cognitive radio (CR) technology offers the possibility of an increase in spectrum utilization
efficiency to resolve the prevalent spectrum scarcity problem. The economic survival of …

Exploring channel diversity in HF communication systems: A matching-potential game approach

W Li, L Ruan, Y Xu, Y Zhang, Y Xu… - China …, 2018 - ieeexplore.ieee.org
This paper investigates the channel diversity problem in high frequency (HF) communication
systems. Due to the limited HF spectrum resources, a HF communication system with shared …

Offloading wireless energy harvesting for IoT devices on unlicensed bands

J Ho, M Jo - IEEE Internet of Things Journal, 2018 - ieeexplore.ieee.org
Because the number of Internet of Things (IoT) devices has increased dramatically in both
licensed and unlicensed band networks, wireless networks on licensed bands for the IoT …

Network functions virtualization for flexible deployment of converged optical-wireless access infrastructure

O Krasko, H Al-Zayadi, V Pashkevych… - … on Advanced Trends …, 2018 - ieeexplore.ieee.org
Existing network infrastructure is very heterogeneous in terms of connectivity options,
service types, and user demands. The emergence of new technologies such as 5G mobile …

Development of deep packet inspection system for network traffic analysis and intrusion detection

Z Cheng, M Beshley, H Beshley… - 2020 IEEE 15th …, 2020 - ieeexplore.ieee.org
One of the most important issues in the development of the Internet of Things (IoT) is network
security. The deep packet inspection (DPI) is a promising technology that helps to detection …

Deep learning based mobile network management for 5G and beyond

T Maksymyuk, J Gazda, M Ružička… - 2020 IEEE 15th …, 2020 - ieeexplore.ieee.org
Over the last decade the deployment paradigm of the mobile networks has shifted from
complex hierarchical structures towards decoupling of the control and transmission planes …