scholarly journals Wavelet Based Dynamic Spectrum Sensing for Cognitive Radio under Noisy Environment

2012 ◽  
Vol 38 ◽  
pp. 3228-3234 ◽  
Author(s):  
Vinit Gupta ◽  
Abhay Kumar
Keyword(s):  
Cognitive Radio ◽  
Spectrum Sensing ◽  
Dynamic Spectrum ◽  
Noisy Environment

Cognitive Radio Networks

2019 ◽  
pp. 27-50
Author(s):  
Abhijeet Bishnu ◽  
Vimal Bhatia
Keyword(s):  
Cognitive Radio ◽  
Spectrum Sensing ◽  
Gaussian Noise ◽  
Dynamic Spectrum ◽  
Spectrum Hole ◽  
Geolocation Database ◽  
Wireless Spectrum ◽  
Colored Gaussian Noise ◽  
Main Components ◽  
Beacon Signal

Cognitive radio (CR) offers a novel way for effective usage of wireless spectrum by using dynamic spectrum sensing and allocation. One of the main components of CR is to find a spectrum hole for data transmission. Spectrum hole can be found by using spectrum sensing, a geolocation database, or by using a beacon signal. In this chapter, the authors describe algorithms for spectrum sensing in the presence of both additive white Gaussian and colored Gaussian noise. The algorithms include blind, non-blind, and cooperative sensing-based methods. The authors have compared the performance of various methods for IEEE 802.22 standard (which is the first standard incorporating CR).

Demand-Oriented Optimal Spectrum Sensing Order in Dynamic Spectrum Access

2014 ◽  
Vol 543-547 ◽  
pp. 2262-2265
Author(s):  
Chang Hua Yao ◽  
Qi Hui Wu ◽  
Xue Qiang Zheng
Keyword(s):  
Cognitive Radio ◽  
Spectrum Sensing ◽  
Dynamic Spectrum Access ◽  
Radio Networks ◽  
Dynamic Spectrum ◽  
Spectrum Access ◽  
Throughput Performance ◽  
Order Problem ◽  
Data Packets ◽  
Definition Of

In this paper, we proposed a more practical spectrum sensing order problem in cognitive radio networks (CRN), considering the effect of different traffic of second user (SU). We discard the impractical assumption that SU has data packets to transmit all the time, and use the actually packets per second rather than the channel capacity as the definition of throughput, to reformulate the optimal sensing order problem. The new method to decide sensing order can improve the throughput performance in practical system.

scholarly journals Multi Feature Based Classifier for Spectrum Sensing in Cognitive Radio

2018 ◽  
Vol 7 (3.12) ◽  
pp. 894
Author(s):  
V C.S Kaushik ◽  
S Kolangiammal ◽  
B E Manoj Kumar
Keyword(s):  
Cognitive Radio ◽  
Spectrum Sensing ◽  
Paradigm Shift ◽  
Dynamic Spectrum Access ◽  
Dynamic Spectrum ◽  
Spectrum Access ◽  
Radio Resource ◽  
Effective Implementation ◽  
Feature Based

Cognitive Radio (CR) is an important technology which can enable the implementation of Dynamic Spectrum Access, which is a paradigm shift from the static spectrum access model. It is an intelligent wireless communication system which can sense the environment and can take decisions to effectively use the available radio resource without creating any interference to the Licensed Primary Users.   Hence sensing of the spectrum plays a very important role in the effective implementation of this technology. We propose a new spectrum sensing algorithm in this paper which is based on machine learning and uses a Multi Feature based Classifier (MFC) model for classification of the spectrum.  

scholarly journals ESTUDO PRÉ-PROSPECTIVO PARA ROADMAP TECNOLÓGICO SOBRE RÁDIO COGNITIVO: EVOLUÇÃO CIENTÍFICO-PATENTÁRIA ENTRE 1970-2017

2018 ◽  
Vol 11 (3) ◽  
pp. 861
Author(s):  
Andrade José Luiz Andrade ◽  
David Fernandes Cruz Moura Moura ◽  
Suzana Borschiver Borschiver Borschiver
Keyword(s):  
Cognitive Radio ◽  
Spectrum Sensing ◽  
Spectrum Sharing ◽  
Smart Antenna ◽  
Dynamic Spectrum ◽  
White Space ◽  
Dynamic Spectrum Sharing

<p>Avanços tecnológicos como digitalização das camadas físicas nos meios de comunicação tem promovido grande impacto na sociedade mundial em curto período de tempo. Nos últimos anos, complexos desafios propostos pela Era do Conhecimento incluem equilibrar o aumento exponencial de novos usuários a um espectro eletromagnético limitado se utilizado de forma convencional, como ocorre na atualidade. O Rádio Cognitivo emerge como uma tecnologia habilitadora para o uso eficiente e dinâmico do espectro, capaz de elevar os parâmetros de qualidade do serviço, ampliar o grau de confiabilidade e de plena utilização espectral. Este artigo explora tendências apontadas pelo estudo finlandês, <em>Trial Cognitive Radio Innovation Landscape, </em>no período 1970-2011 e monitora a evolução tecnológica entre 2012 e 2017. A análise bibliométrica permite antecipar crescente maturidade em domínios como <em>spectrum sensing, cognitive &amp; Spectrum sensing</em> e <em>dynamic spectrum sharing/management</em> e intenso esforço inovativo em <em>white space &amp; LTE, cognitive &amp; LTE </em>e<em> </em><em>cognitive &amp; smart antenna.</em></p>

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