Reinforcement learning-based multislot double-threshold spectrum sensing with Bayesian fusion for industrial big spectrum data
With the rapid increase of industrial systems, industrial spectrum is stepping into the era of
big data, and at the same time spectrum resources are facing serious shortage. Cognitive …
big data, and at the same time spectrum resources are facing serious shortage. Cognitive …
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 …
Performance analysis of spectrum sensing schemes based on energy detector in generalized Gaussian noise
R Gao, P Qi, Z Zhang - Signal Processing, 2021 - Elsevier
Spectrum sensing in the presence of non-Gaussian noise is a challenging task for cognitive
radio networks (CRNs). Among all spectrum sensing approach, energy detection (ED) is the …
radio networks (CRNs). Among all spectrum sensing approach, energy detection (ED) is the …
Gaussian mixture model based anomaly detection for defense against Byzantine attack in cooperative spectrum sensing
Cognitive radio (CR) serves as an effective solution to the spectrum scarcity issue in current
wireless communication. Spectrum sensing is one of the key enabling technologies for CR …
wireless communication. Spectrum sensing is one of the key enabling technologies for CR …
Deep transfer cooperative sensing in cognitive radio
In this letter, we propose a deep transfer cooperative sensing (DTCS) approach in cognitive
radio networks, where multiple secondary users (SUs) cooperate to detect the presence of …
radio networks, where multiple secondary users (SUs) cooperate to detect the presence of …
Acceleration algorithms for long-wavelength radiation integral in the annual simulation of radiative cooling in buildings
Radiative cooling materials (RCMs) possess the capability of passively transferring heat
from surfaces to the outer space through the atmospheric window via long-wavelength …
from surfaces to the outer space through the atmospheric window via long-wavelength …
A decision confidence based multiuser MIMO cooperative spectrum sensing in CRNs
In this paper, we propose a novel spectrum sensing scheme for multiuser multiple-input–
multiple-output cooperative cognitive radio networks and a decision confidence algorithm for …
multiple-output cooperative cognitive radio networks and a decision confidence algorithm for …
Self‐Organized Efficient Spectrum Management through Parallel Sensing in Cognitive Radio Network
In this paper, we propose an innovative self‐organizing medium access control mechanism
for a distributed cognitive radio network (CRN) in which utilization is maximized by …
for a distributed cognitive radio network (CRN) in which utilization is maximized by …
Lifting Wavelet-Assisted EM Joint Estimation and Detection in Cooperative Spectrum Sensing
H Tian, X Zhao, S Chen, Y Wu - Sensors, 2023 - mdpi.com
Spectrum sensing in Cognitive radio (CR) is a way to improve spectrum utilization by
detecting spectral holes to achieve a dynamic allocation of spectrum resources. As it is often …
detecting spectral holes to achieve a dynamic allocation of spectrum resources. As it is often …
Sensing Performance Analysis Using Choatic Signal-Based SCMA Codebook for Secure Cognitive Communication System in 5G
GK Shekhawat, RP Yadav - International Conference on Data Science …, 2023 - Springer
Abstract Sparse Code Multiple Access (SCMA) is an eminent multiple access scheme for
next 5G generation networks. It supports large data rate, massive user connectivity, lower …
next 5G generation networks. It supports large data rate, massive user connectivity, lower …