Progression on spectrum sensing for cognitive radio networks: A survey, classification, challenges and future research issues
It is widely believed that the advances of networking technologies will reshape the future of
telecommunication system. The continuous growth in data traffic originated by mobile users …
telecommunication system. The continuous growth in data traffic originated by mobile users …
Evaluating appropriate communication technology for smart grid by using a comprehensive decision-making approach fuzzy TOPSIS
D Abdul, J Wenqi - Soft Computing, 2022 - Springer
The use of suitable communication technologies reduces power consumption, operational
efficiency of the smart grid (SG), and collaboration between SG aspects from generation to …
efficiency of the smart grid (SG), and collaboration between SG aspects from generation to …
Matched filter detection with dynamic threshold for cognitive radio networks
In cognitive radio networks, spectrum sensing aims to detect the unused spectrum channels
in order to use the radio spectrum more efficiently. Various methods have been proposed in …
in order to use the radio spectrum more efficiently. Various methods have been proposed in …
Network selection and channel allocation for spectrum sharing in 5G heterogeneous networks
The demand for spectrum resources has increased dramatically with the advent of modern
wireless applications. Spectrum sharing, considered as a critical mechanism for 5G …
wireless applications. Spectrum sharing, considered as a critical mechanism for 5G …
[HTML][HTML] Evaluation of 5G techniques affecting the deployment of smart hospital infrastructure: Understanding 5G, AI and IoT role in smart hospital
A Kumar, A Nanthaamornphong, R Selvi… - Alexandria Engineering …, 2023 - Elsevier
Smart Hospital will play a key role in improving the quality of services (QoS) related to the
health sector. In the present scenario, it is impossible to accommodate an ageing population …
health sector. In the present scenario, it is impossible to accommodate an ageing population …
Analysis of hybrid spectrum sensing for 5G and 6G waveforms
More spectrum bands are needed as the number of wireless applications rises. The
spectrum band, though, is now very difficult to adapt to new applications. Because of this, the …
spectrum band, though, is now very difficult to adapt to new applications. Because of this, the …
Cooperative spectrum sensing with heterogeneous devices: Hard combining versus soft combining
Practical cognitive radio networks (CRNs) would have users with different capabilities and
access levels to prior information about the primary users (PUs). For instance, some users …
access levels to prior information about the primary users (PUs). For instance, some users …
Spectrum sensing for smart embedded devices in cognitive networks using machine learning algorithms
Spectrum sensing is an essential step in cognitive radio-based dynamic spectrum
management. Spectrum sensing to detect the presence of the licensed signals in a particular …
management. Spectrum sensing to detect the presence of the licensed signals in a particular …
[PDF][PDF] Artificial neural networks, support vector machine and energy detection for spectrum sensing based on real signals
A Cognitive Radio (CR) is an intelligent wireless communication system, which is able to
improve the utilization of the spectral environment. Spectrum sensing (SS) is one of the most …
improve the utilization of the spectral environment. Spectrum sensing (SS) is one of the most …
Energy and eigenvalue based combined fully blind self adapted spectrum sensing algorithm
In this paper, a comparison between energy and maximum–minimum eigenvalue (MME)
detectors is performed. The comparison has been made concerning the sensing complexity …
detectors is performed. The comparison has been made concerning the sensing complexity …