Results 271 to 280 of about 305,481 (299)

An Overview and Future Directions on Physical-Layer Security for Cognitive Radio Networks

IEEE Network, 2021
Cognitive radio networks (CRNs) have emerged as a reliable technology to address the problem of spectrum under-utilization. Cognitive radio (CR) is known to be intelligent, as it can sense, learn, and change its transmitting and receiving parameters ...
Deemah H. Tashman, W. Hamouda
semanticscholar   +1 more source

Network Throughput Optimization for Random Access Narrowband Cognitive Radio Internet of Things (NB-CR-IoT)

IEEE Internet of Things Journal, 2018
Narrowband Internet of Things (NB-IoT) is a new technology being implemented into the Long-Term Evolution (LTE) standards to support machine-to-machine communications.
Ting Li, Jin Yuan, M. Torlak
semanticscholar   +1 more source

Resource Allocation in Cognitive Radio-Enabled UAV Communication

IEEE Transactions on Cognitive Communications and Networking, 2022
The deployment of unmanned aerial vehicles (UAVs) in wireless communications will be constrained in practice by the unavailability of frequency spectrum.
S. K. Nobar, M. Ahmed, Y. Morgan, Samy A. Mahmoud   +3 more
semanticscholar   +1 more source

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

IEEE Communications Surveys and Tutorials
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 connectivity for an ever-expanding range of applications.
Nada Abdel Khalek, Deemah H. Tashman, W. Hamouda   +2 more
semanticscholar   +1 more source

Deep Learning Frameworks for Cognitive Radio Networks: Review and Open Research Challenges

Journal of Network and Computer Applications
Deep learning has been proven to be a powerful tool for addressing the most significant issues in cognitive radio networks, such as spectrum sensing, spectrum sharing, resource allocation, and security attacks. The utilization of deep learning techniques
S. Jagatheesaperumal, Ijaz Ahmad, Marko Höyhtyä, Suleman Khan, Andrei V. Gurtov   +4 more
semanticscholar   +1 more source

Multi-Objective Modified Grey Wolf Optimization Algorithm for Efficient Spectrum Sensing in the Cognitive Radio Network

The Arabian journal for science and engineering, 2020
Geoffrey Eappen, T. Shankar
semanticscholar   +1 more source

Spectrum mobility in cognitive radio network using spectrum prediction and monitoring techniques

Physical Communication, 2017
P. Thakur, Alok Kumar, S. Pandit, G. Singh, S. N. Satashia   +4 more
semanticscholar   +1 more source

Cyclostationary Detection Based on Non-cooperative spectrum sensing in cognitive radio network

Cyber .., 2016
Prince Semba Yawada, Ang Wei
semanticscholar   +1 more source

An Optimal Cross-Layer Framework for Cognitive Radio Network Under Interference Temperature Model

IEEE Systems Journal, 2016
B. Jalaeian, Rongbo Zhu, H. Samani, M. Motani   +3 more
semanticscholar   +1 more source

Ultra-dense small cell planning using cognitive radio network toward 5G

IEEE wireless communications, 2015
Fan-Hsun Tseng, Li-Der Chou, H. Chao, Jin Wang   +3 more
semanticscholar   +1 more source