Collaborative spectrum sensing in real cognitive radio network

Wireless Communication is a system for communicating information from one point to other, without utilizing any connections like wire, cable, or other physical medium. Cognitive Radio (CR) based systems and networks are a revolutionary new perception in wireless communications. Spectrum sensing is a vital task of CR to avert destructive intrusion with licensed primary or main users and discover the accessible spectrum for the efficient utilization of the spectrum. Centralized Cooperative Spectrum Sensing (CSS) is a kind of spectrum sensing. Most of the test metrics designed till now for sensing the spectrum is produced by using the Sample Covariance Matrix (SCM) of the received signal. Some of the methods that use the SCM for the process of detection are Pietra-Ricci Index Detector (PRIDe), Hadamard Ratio (HR) detector, Gini Index Detector (GID), etc. This paper presents the simulation and comparative performance analysis of PRIDe with various other detectors like GID, HR, Arithmetic to Geometric Mean (AGM), Volume-based Detector number 1 (VD1), Maximumto-Minimum Eigenvalue Detection (MMED), and Generalized Likelihood Ratio Test (GLRT) using the MATLAB software. The PRIDe provides better performance in the presence of variations in the power of the signal and the noise power with less computational complexity.

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“…Collaborative sensing of spectrum in a real CR network is presented in [22]. The various digital communication techniques are explained in [23].…”

Section: Related Workmentioning

confidence: 99%

Efficient Centralized Cooperative Spectrum Sensing Techniques for Cognitive Networks

Gnanasivam¹,

Bharathy²,

Rajendran³

et al. 2023

Computer Systems Science and Engineering

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Implementation of relay based collaborative spectrum sensing using coalitional games in wireless cognitive radio networks

Manna

Misra

2015

Computers & Electrical Engineering

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Gini Index Test Metric Based Collaborative Sensing of Spectrum for Cognitive Networks

Bharathy¹,

Rajendran

Bhavanisankari³

et al. 2021

J. Phys.: Conf. Ser.

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The key confront for a cognitive radio network is to identify the presence of primary users consistently so as to curtail the intrusion to license approved communications. Consequently, sensing of spectrum is a main significant requisite of a cognitive network. Nevertheless, because of the ambiguity in the channel, local interpretations don’t provide a trustworthy solution and therefore collaboration is needed between the users. Collaborative spectrum sensing is a competent scheme to enhance the spectrum utility in wireless networks, which utilizes cooperation between multiple nodes to prevail over the inadequacy of single-node to improve the performance of detection. In this paper, a detailed investigation, simulation and comparative analysis of collaborative scheme for sensing the spectrum of cognitive networks based on Gini Index test metrics is done and the results are compared with various other detecting schemes. The simulation is accomplished by means of Matlab R2014 software.

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Collaborative spectrum sensing in real cognitive radio network

Cited by 5 publications

References 14 publications

Efficient Centralized Cooperative Spectrum Sensing Techniques for Cognitive Networks

Efficient Centralized Cooperative Spectrum Sensing Techniques for Cognitive Networks

Implementation of relay based collaborative spectrum sensing using coalitional games in wireless cognitive radio networks

Gini Index Test Metric Based Collaborative Sensing of Spectrum for Cognitive Networks

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