Artificial intelligence algorithms for power allocation in high throughput satellites: A comparison
Automating resource management strategies is a key priority in the satellite communications
industry. The future landscape of the market will be changed by a substantial increase of …
industry. The future landscape of the market will be changed by a substantial increase of …
Wireless big data: transforming heterogeneous networks to smart networks
Abstract In HetNets (Heterogeneous Networks), each network is allocated with fixed
spectrum resource and provides service to its assigned users using specific RAT (Radio …
spectrum resource and provides service to its assigned users using specific RAT (Radio …
Cognitive Radio for UAV communications: Opportunities and future challenges
Applications for Unmanned Aerial Vehicles (UAVs), operating in unlicensed bands, are
vastly growing with the consolidation of the Internet of Things (IoT). However, those bands …
vastly growing with the consolidation of the Internet of Things (IoT). However, those bands …
A survey on machine learning algorithms for applications in cognitive radio networks
A Upadhye, P Saravanan, SS Chandra… - 2021 IEEE …, 2021 - ieeexplore.ieee.org
In this paper, we present a survey on the utility of machine learning (ML) algorithms for
applications in cognitive radio networks (CRN). We start with a high-level overview of some …
applications in cognitive radio networks (CRN). We start with a high-level overview of some …
Do specific pedagogies and problem-based teaching improve student employability? A cross-sectional survey of college students
K Li, MYP Peng, Z Du, J Li, KT Yen, T Yu - Frontiers in psychology, 2020 - frontiersin.org
Higher education policy and manpower training have failed to meet the requirement of
rapidly changing society and employers' expectation in Taiwan, resulting in a significant gap …
rapidly changing society and employers' expectation in Taiwan, resulting in a significant gap …
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 …
[PDF][PDF] Optimization of cognitive radio system using selflearning salp swarm algorithm
Cognitive Radio (CR) has been developed as an enabling technology that allows the
unused or underused spectrum to be used dynamically to increase spectral efficiency. To …
unused or underused spectrum to be used dynamically to increase spectral efficiency. To …
Convergence of mobile broadband and broadcast services: A cognitive radio sensing and sharing perspective
K Rapetswa, L Cheng - Intelligent and Converged Networks, 2020 - ieeexplore.ieee.org
With next generation networks driving the confluence of multi-media, broadband, and
broadcast services, Cognitive Radio (CR) networks are positioned as a preferred paradigm …
broadcast services, Cognitive Radio (CR) networks are positioned as a preferred paradigm …
Using the fuzzy analytical hierarchy process to prioritize the impact of visual communication based on artificial intelligence for long-term learning
Recent advancements in artificial intelligence (AI) imply that this emerging technology will
have a deterministic as well as potentially transformational impact on learning …
have a deterministic as well as potentially transformational impact on learning …
Artificial neural network design for improved spectrum sensing in cognitive radio
Abstract Dynamic Spectrum Access/Cognitive Radio systems access the channel in an
opportunistic, non-interfering manner with the primary network. These systems utilize …
opportunistic, non-interfering manner with the primary network. These systems utilize …