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 …
technology and machine learning (ML), where intelligent networks can provide pervasive …
Comprehensive survey of machine learning approaches in cognitive radio-based vehicular ad hoc networks
Nowadays, machine learning (ML), which is one of the most rapidly growing technical tools,
is extensively used to solve critical challenges in various domains. Vehicular ad hoc network …
is extensively used to solve critical challenges in various domains. Vehicular ad hoc network …
Physical layer security of cognitive ambient backscatter communications for green Internet-of-Things
The future sixth generation (6G) wireless communication networks will face the challenges
of large-scale connections green communication. To meet these requirements, cognitive …
of large-scale connections green communication. To meet these requirements, cognitive …
Symbiotic radio: Cognitive backscattering communications for future wireless networks
The heterogenous wireless services and exponentially growing traffic call for novel spectrum-
and energy-efficient wireless communication technologies. Recently, a new technique …
and energy-efficient wireless communication technologies. Recently, a new technique …
Intelligent user association for symbiotic radio networks using deep reinforcement learning
In this paper, we are interested in symbiotic radio networks (SRNs), in which an Internet-of-
Things (IoT) network parasitizes in a primary cellular network to achieve spectrum-, energy …
Things (IoT) network parasitizes in a primary cellular network to achieve spectrum-, energy …
Deep reinforcement learning optimal transmission algorithm for cognitive Internet of Things with RF energy harvesting
S Guo, X Zhao - IEEE Transactions on Cognitive …, 2022 - ieeexplore.ieee.org
Spectrum scarcity and energy limitation are becoming two critical issues in designing
Internet of Things (IoT). As two promising technologies, cognitive radio (CR) and radio …
Internet of Things (IoT). As two promising technologies, cognitive radio (CR) and radio …
When machine learning meets spectrum sharing security: Methodologies and challenges
The exponential growth of Internet connected systems has generated numerous challenges,
such as spectrum shortage issues, which require efficient spectrum sharing (SS) solutions …
such as spectrum shortage issues, which require efficient spectrum sharing (SS) solutions …
Backscatter communications: Inception of the battery-free era—A comprehensive survey
The ever increasing proliferation of wireless objects and consistent connectivity demands
are creating significant challenges for battery-constrained wireless devices. The vision of …
are creating significant challenges for battery-constrained wireless devices. The vision of …
[BUKU][B] Ambient backscatter communication networks
Understand the fundamental principles and applications of ambient backscatter technology
with this authoritative review. Covering both theory and practical engineering, leading …
with this authoritative review. Covering both theory and practical engineering, leading …
Deep reinforcement learning for time scheduling in RF-powered backscatter cognitive radio networks
In an RF-powered backscatter cognitive radio network, multiple secondary users
communicate with a secondary gateway by backscattering or harvesting energy and actively …
communicate with a secondary gateway by backscattering or harvesting energy and actively …