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 spectrum sensing in modern cognitive radio networks
MU Muzaffar, R Sharqi - Telecommunication Systems, 2024 - Springer
Cognitive radio network (CRN) is a pioneering technology that was developed to improve
efficiency in spectrum utilization. It provides the secondary users with the privilege to …
efficiency in spectrum utilization. It provides the secondary users with the privilege to …
A comprehensive study on the role of machine learning in 5G security: challenges, technologies, and solutions
Fifth-generation (5G) mobile networks have already marked their presence globally,
revolutionizing entertainment, business, healthcare, and other domains. While this leap …
revolutionizing entertainment, business, healthcare, and other domains. While this leap …
Hybrid machine-learning-based spectrum sensing and allocation with adaptive congestion-aware modeling in CR-assisted IoV networks
Unlicensed cognitive-radio (CR)-assisted Internet of Vehicles (IoV) users can access
licensed providers' radio spectrum and concurrently utilize the dedicated channel for data …
licensed providers' radio spectrum and concurrently utilize the dedicated channel for data …
Deep Learning‐Based Solutions for 5G Network and 5G‐Enabled Internet of Vehicles: Advances, Meta‐Data Analysis, and Future Direction
MS Almutairi - Mathematical Problems in Engineering, 2022 - Wiley Online Library
The advent of the 5G mobile network has brought a lot of benefits. However, it prompted new
challenges on the 5G network cybersecurity defense system, resource management …
challenges on the 5G network cybersecurity defense system, resource management …
SIPFormer: Segmentation of multiocular biometric traits with transformers
The advancements in machine vision have opened up new avenues for implementing
multimodal biometric identification systems for real-world applications. These systems can …
multimodal biometric identification systems for real-world applications. These systems can …
Deep neural networks for spectrum sensing: a review
As we advance towards 6G communication systems, the number of network devices
continues to increase resulting in spectrum scarcity. With the help of Spectrum Sensing (SS) …
continues to increase resulting in spectrum scarcity. With the help of Spectrum Sensing (SS) …
AUnet: A deep learning framework for surface water channel mapping using large-coverage remote sensing images and sparse scribble annotations from OSM data
Water is a vital component of life that exists in a variety of forms, including oceans, rivers,
ponds, streams, and canals. The automated methods for detecting, segmenting, and …
ponds, streams, and canals. The automated methods for detecting, segmenting, and …
Deep residual learning-based cognitive model for detection and classification of transmitted signal patterns in 5G smart city networks
Primary user (PU) signal detection or classification is a critical component of cognitive radio
(CR) related wireless communication applications. In CR, the PU detection methods are …
(CR) related wireless communication applications. In CR, the PU detection methods are …
Secure spectrum access, routing, and hybrid beamforming in an edge-enabled mmwave massive MIMO CRN-based internet of connected vehicle (IoCV) …
D Pari, J Natarajan - Sensors, 2022 - mdpi.com
A cognitive radio network (CRN) is integrated with the Internet of Connected Vehicles (IoCV)
in order to address spectrum scarcity and communication reliability issues. However, it is …
in order to address spectrum scarcity and communication reliability issues. However, it is …