Spectrum sensing, clustering algorithms, and energy-harvesting technology for cognitive-radio-based internet-of-things networks
X Fernando, G Lăzăroiu - Sensors, 2023 - mdpi.com
The aim of this systematic review was to identify the correlations between spectrum sensing,
clustering algorithms, and energy-harvesting technology for cognitive-radio-based internet …
clustering algorithms, and energy-harvesting technology for cognitive-radio-based internet …
A Review of Research on Spectrum Sensing Based on Deep Learning
Y Zhang, Z Luo - Electronics, 2023 - mdpi.com
In recent years, with the rapid development in wireless communication and 5G networks, the
rapid growth in mobile users has been accompanied by an increasing demand for the …
rapid growth in mobile users has been accompanied by an increasing demand for the …
CBI4. 0: A cross-layer approach for big data gathering for active monitoring and maintenance in the manufacturing industry 4.0
Abstract Industry 4.0 (I4. 0) defines a new paradigm to produce high-quality products at the
low cost by reacting quickly and effectively to changing demands in the highly volatile global …
low cost by reacting quickly and effectively to changing demands in the highly volatile global …
Machine learning-based cooperative spectrum sensing in dynamic segmentation enabled cognitive radio vehicular network
A vehicle ad hoc network (VANET) is a solution for road safety, congestion management,
and infotainment services. Integration of cognitive radio (CR), known as CR-VANET, is …
and infotainment services. Integration of cognitive radio (CR), known as CR-VANET, is …
A Gaussian mixture model method for eigenvalue-based spectrum sensing with uncalibrated multiple antennas
S Majumder - Signal Processing, 2022 - Elsevier
In this article, a novel spectrum sensing technique for cognitive radio (CR) is proposed
where eigenvalues of the covariance matrix of the received signal are used as features for …
where eigenvalues of the covariance matrix of the received signal are used as features for …
Probabilistic spectrum sensing based on feature detection for 6G cognitive radio: A survey
With the advent of Sixth Generation (6G) telecommunication systems already envisioned,
increased effort is made to further develop current communication technologies, so they can …
increased effort is made to further develop current communication technologies, so they can …
QoSRP: A cross-layer QoS channel-aware routing protocol for the Internet of underwater acoustic sensor networks
Quality of service (QoS)-aware data gathering in static-channel based underwater wireless
sensor networks (UWSNs) is severely limited due to location and time-dependent acoustic …
sensor networks (UWSNs) is severely limited due to location and time-dependent acoustic …
Clustering formation in cognitive radio networks using machine learning
DMS Bhatti, S Ahmed, AS Chan, K Saleem - AEU-International Journal of …, 2020 - Elsevier
The goal of spectrum sensing is to elevate the detection performance of secondary users
(SUs) in a cognitive radio network (CRN). In cooperative spectrum sensing, all secondary …
(SUs) in a cognitive radio network (CRN). In cooperative spectrum sensing, all secondary …
Deep cooperative spectrum sensing based on residual neural network using feature extraction and random forest classifier
Some bands in the frequency spectrum have become overloaded and others underutilized
due to the considerable increase in demand and user allocation policy. Cognitive radio …
due to the considerable increase in demand and user allocation policy. Cognitive radio …
Cooperative spectrum sensing optimization based adaptive neuro-fuzzy inference system (ANFIS) in cognitive radio networks
The tremendous growth of the wireless communications and their applications stimulate the
urgent need to keep on the available radio spectrum. As a result, cognitive radio (CR) …
urgent need to keep on the available radio spectrum. As a result, cognitive radio (CR) …