Advances in Machine Learning-Driven Cognitive Radio for Wireless Networks: A Survey

NA Khalek, DH Tashman… - … Surveys & Tutorials, 2023 - ieeexplore.ieee.org
The next frontier in wireless connectivity lies at the intersection of cognitive radio (CR)
technology and machine learning (ML), where intelligent networks can provide pervasive …

Physical layer security enhancement in energy harvesting-based cognitive internet of things: A GAN-powered deep reinforcement learning approach

R Lin, H Qiu, J Wang, Z Zhang, L Wu… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
Cognitive radio (CR) is regarded as the key technology of the 6th-Generation (6G) wireless
network. Because 6G CR networks are anticipated to offer worldwide coverage, increase …

A hybrid communication scheme for throughput maximization in backscatter-aided energy harvesting cognitive radio networks

K Zheng, J Wang, X Liu, XW Yao… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
Motivated by the benefits of cognitive radio (CR), energy harvesting (EH), and backscatter
communication (BC) technologies to support Internet of Things (IoT) systems, we investigate …

Analysis of dimensionality reduction techniques on Internet of Things data using machine learning

L Rashid, S Rubab, M Alhaisoni, A Alqahtani… - Sustainable Energy …, 2022 - Elsevier
Abstract Internet of Things (IoT), being a global infrastructure, aims to improve the quality of
our lives. The potential applicability of IoT to almost every field of life, gives rise to an …

A Hierarchical Network Management Strategy for Distributed CIIoT With Imperfect CSI

F Yang, S Zhang, C Liu, J Huang, T Yu… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
In the distributed Cognitive Industrial Internet of Things (CIIoT), since industrial devices may
self-organize to determine their connection and dispersion and the network may be …

Joint Energy Efficiency and Throughput Optimization for UAV-WPT Integrated Ground Network using DDPG

MA Ouamri, Y Machter, D Singh… - IEEE Communications …, 2023 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAV) have been applied in many civilian and commercial
applications, including agriculture mapping, military surveillance, reconnaissance activities …

Cyclostationary feature based modulation classification with convolutional neural network in multipath fading channels

L Yin, X Xiang, Y Liang - IEEE Access, 2023 - ieeexplore.ieee.org
Modulation classification has been widely studied in recent years. However, few studies
focus on the performance degradation in multipath fading channels, whose impact is non …

Reconfigurable Intelligent Surfaces-assisted Overlay Energy Harvesting-CRN under Resilient Primary User Outages

A Paul, M Katwe, K Singh, CP Li… - IEEE Communications …, 2023 - ieeexplore.ieee.org
This letter investigates a reconfigurable intelligent surface (RIS)-assisted overlay cognitive
radio network (CRN) that incorporates rate splitting multiple access (RSMA) and energy …

Performance optimization of energy-harvesting underlay cognitive radio networks using reinforcement learning

DH Tashman, S Cherkaoui… - … and Mobile Computing …, 2023 - ieeexplore.ieee.org
In this paper, a reinforcement learning technique is employed to maximize the performance
of a cognitive radio network (CRN). In the presence of primary users (PUs), it is presumed …

Charger and receiver deployment for trajectory coverage with delay constraint in mobile wireless rechargeable sensor networks

H Yao, Q Zhang, X Fu, Y Yang, I Ungurean - Ad Hoc Networks, 2023 - Elsevier
Abstract Wireless Rechargeable Sensor Networks (WRSNs) powered by radio-frequency
radiation attract a lot of attention for their sustainability and convenience, etc. One focus is …