Spectrum sensing for cognitive radio: Recent advances and future challenge
Spectrum Sensing (SS) plays an essential role in Cognitive Radio (CR) networks to
diagnose the availability of frequency resources. In this paper, we aim to provide an in-depth …
diagnose the availability of frequency resources. In this paper, we aim to provide an in-depth …
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 …
Extreme learning machine based identification of malicious users for secure cooperative spectrum sensing in cognitive radio networks
Cognitive radio (CR) technology has evolved over the traditional radio to successfully utilize
the unused frequency spectrum. In CR the secondary users (SUs) perform cooperative …
the unused frequency spectrum. In CR the secondary users (SUs) perform cooperative …
On eigenvalue-based cooperative spectrum sensing using feature extraction and maximum entropy fuzzy clustering
This article explores the scope of feature extraction and maximum entropy-based fuzzy
clustering (MEFC) on eigenvalue-based cooperative spectrum sensing (CSS). The sensed …
clustering (MEFC) on eigenvalue-based cooperative spectrum sensing (CSS). The sensed …
Denoised Jarque-Bera features-based K-Means algorithm for intelligent cooperative spectrum sensing
This paper aims to boost the blind perception performance of a cooperative spectrum
sensing system in a noisy environment. A novel intelligent centralized-cooperative spectrum …
sensing system in a noisy environment. A novel intelligent centralized-cooperative spectrum …
Signal processing for enhancing railway communication by integrating deep learning and adaptive equalization techniques
Y Wang, W Chang, J Li, C Yang - PloS one, 2024 - journals.plos.org
With the increasing amount of data in railway communication system, the conventional
wireless high-frequency communication technology cannot meet the requirements of …
wireless high-frequency communication technology cannot meet the requirements of …
Hierarchical Cat and Mouse based ensemble extreme learning machine for spectrum sensing data falsification attack detection in cognitive radio network
While cognitive radio networks (CRNs) provide a promising solution to mitigate the scarcity
of the radio spectrum, they are still susceptible to several security threats. Until now, only a …
of the radio spectrum, they are still susceptible to several security threats. Until now, only a …
A variational Bayesian approach to multiantenna spectrum sensing under correlated noise
S Majumder - Digital Signal Processing, 2022 - Elsevier
In this paper, we address the problem of spectrum sensing when the secondary user (SU) is
equipped with a multiantenna receiver and noise across antenna elements are correlated …
equipped with a multiantenna receiver and noise across antenna elements are correlated …
Spatio-temporal dynamics of water quality in river sources of drinking water in Uttarakhand with reference to human health
K Sinha, J Dwivedi, P Singh… - … Science and Pollution …, 2022 - Springer
Any contamination in potable water leads to high risk on human health. Hence, it is
inevitable to characterize water quality and assess temporal change with reference to …
inevitable to characterize water quality and assess temporal change with reference to …
[HTML][HTML] A CR-5G network based on multi-user for various waveforms detection
The 5G network is promised to provide all the requirements surfacing from the speedily
rising number of mobile phone users rather than huge amount of data transmission. Many …
rising number of mobile phone users rather than huge amount of data transmission. Many …