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An accurate kernelized energy detection in Gaussian and non-Gaussian/impulsive noises
Motivated by the simplicity of energy detector and capability of higher order and fractional
lower order statistics in non-Gaussian signal processing, this paper proposes a new …
lower order statistics in non-Gaussian signal processing, this paper proposes a new …
L-CAQ: Joint link-oriented channel-availability and channel-quality based channel selection for mobile cognitive radio networks
Channel availability probability (CAP) and channel quality (CQ) are two key metrics that can
be used to efficiently design a channel selection strategy in cognitive radio networks. For …
be used to efficiently design a channel selection strategy in cognitive radio networks. For …
Novel approach for modeling wireless fading channels using a finite state Markov chain
Empirical modeling of wireless fading channels using common schemes such as
autoregression and the finite state Markov chain (FSMC) is investigated. The conceptual …
autoregression and the finite state Markov chain (FSMC) is investigated. The conceptual …
Accurate kernel-based spectrum sensing for Gaussian and non-Gaussian noise models
This paper introduces a spectrum sensing scenario based on kernel theory which compares
favorably against the conventional Energy Detector (ED) in a cognitive radio system. The so …
favorably against the conventional Energy Detector (ED) in a cognitive radio system. The so …
Signal classification for detecting primary user emulation attack in centralized cognitive radio networks
K Akbari, J Abouei - Electrical Engineering (ICEE), Iranian …, 2018 - ieeexplore.ieee.org
This paper presents a Cognitive Radio Network (CRN) consisting of N Secondary Users
(SUs), M real Primary Users (PUs), and one attacker where the main threat in such a …
(SUs), M real Primary Users (PUs), and one attacker where the main threat in such a …
A matching‐based context‐aware relay assignment scheme with power control in ad‐hoc wireless networks
T Amini, J Abouei - IET Communications, 2023 - Wiley Online Library
In this paper, an emergency ad‐hoc network based on cognitive radio is considered. It is
assumed that secondary users (SUs) are moving agents in which some fixed agents namely …
assumed that secondary users (SUs) are moving agents in which some fixed agents namely …
Fast Machine Learning-Based Signal Classification in Energy Constrained CRN: FPGA Design and Implementation
Cognitive Radio Networks (CRNs) is positioned as an appealing autonomous system to
enhance spectrum scarcity by dynamic spectrum access and spectrum sharing across …
enhance spectrum scarcity by dynamic spectrum access and spectrum sharing across …
[PDF][PDF] Efficient spectrum management framework for Cooperative CRN using enhanced multi-criteria Decision analysis system
L Jayakumar - 2018 - dspace.pondiuni.edu.in
Spectrum has considered as a scarce resource in current static spectrum allocation policy.
The rapid development of wireless devices and applications need intelligence to access …
The rapid development of wireless devices and applications need intelligence to access …
Adaptive Coded Modulation Classification and Spectrum Sensing for Cognitive Radio Systems. Adaptive Coded Modulation Techniques for Cognitive Radio Using …
AOAS Al-Juboori - 2018 - bradscholars.brad.ac.uk
The current and future trends of modern wireless communication systems place heavy
demands on fast data transmissions in order to satisfy end users' requirements anytime …
demands on fast data transmissions in order to satisfy end users' requirements anytime …
[PDF][PDF] Novel Approach for
AOA Salam, RE Sheriff, SR Al-Araji, K Mezher, Q Nasir - 2017 - core.ac.uk
Empirical modeling of wireless fading channels using common schemes such as
autoregression and the finite state Markov chain (FSMC) is investigated. The conceptual …
autoregression and the finite state Markov chain (FSMC) is investigated. The conceptual …