Timeout-Aware Inter-Queuing for QoS Provisioning of Real-Time Secondary Users in Cognitive Radio Networks

Author(s):  
K. Annapurna ◽  
B. Seetha Ramanjaneyulu
2009 ◽  
Vol 53 (8) ◽  
pp. 1158-1170 ◽  
Author(s):  
Xavier Gelabert ◽  
Ian F. Akyildiz ◽  
Oriol Sallent ◽  
Ramon Agustí

2017 ◽  
Vol 2 (29) ◽  
pp. 165
Author(s):  
Danilo Alfonso López-Sarmiento ◽  
Jorge Enrique Salamanca- Cespez ◽  
Adriana Patricia Gallego-Torres

La Radio Cognitiva (CR) es el paradigma que permite optimizar la eficiencia del espectro radio eléctrico a través de una gestión dinámica basado en el sensado, decisión, compartición y movilidad espectral, siendo la toma de decisiones la encargada de la selección del mejor/mejores canales para la transmisión de los datos de los nodos cognitivos (SUs), dependiendo de la calidad de servicio solicitada (Best Effort (BE) o Real Time (RT)). La literatura existente plantea implícitamente la utilización de una estrategia reactiva para la selección de dichas bandas; no obstante, ello implica que las solicitudes de los SUs solo se procesarán una vez arriben a la estación base (BS) de la red cognitiva, generando retrasos adicionales en el envío de los datos. En el presente artículo se plantea el uso de la estrategía proactiva planteada en [1], pretendiendo con ello que el procesamiento de las solicitudes de asignación de espectro para los SUs se realice de manera más rápida o eficiente (tiempo menor de procesamiento en la estación base (BS)), con ello optimizando la etapa de decisión espectral en CR.  Los resultados demuestran que el sistema proactivo reduce el tiempo de asignación de canales a los SUs sin degradar la comunicación del PU.


2018 ◽  
Vol 7 (2.20) ◽  
pp. 335
Author(s):  
Shweta Alpna ◽  
Amrit Mukherjee ◽  
Amlan Datta

The proposed work illustrates a novel technique for cooperative spectrum sensing in a cognitive radio (CR) network. The work includes an approach of identifying secondary users (SUs) based on Hierarchical Maximum Likelihood (HML) technique followed by Vector Quantization. Initially, the arrangement of the SUs are been observed using HML with respect to a spatial domain and then the active SUs among them are identified using VQ. The approach will not only save the energy, but the decision of the real-time and dynamic cooperative communication network becomes more accurate as we can predict the behavior of SUs movement and spectrum sensing by each individual SU at that particular  place. The results and simulations of the real-time experiment justifies with the proposed approach. 


2011 ◽  
Vol 67 (1) ◽  
pp. 213-229 ◽  
Author(s):  
Yuming Ge ◽  
Min Chen ◽  
Yi Sun ◽  
Zhongcheng Li ◽  
Ying Wang ◽  
...  

Author(s):  
Sylwia Romaszko ◽  
Petri Mähönen

In the case of Opportunistic Spectrum Access (OSA), unlicensed secondary users have only limited knowledge of channel parameters or other users' information. Spectral opportunities are asymmetric due to time and space varying channels. Owing to this inherent asymmetry and uncertainty of traffic patterns, secondary users can have trouble detecting properly the real usability of unoccupied channels and as a consequence visiting channels in such a way that they can communicate with each other in a bounded period of time. Therefore, the channel service quality, and the neighborhood discovery (NB) phase are fundamental and challenging due to the dynamics of cognitive radio networks. The authors provide an analysis of these challenges, controversies, and problems, and review the state-of-the-art literature. They show that, although recently there has been a proliferation of NB protocols, there is no optimal solution meeting all required expectations of CR users. In this chapter, the reader also finds possible solutions focusing on an asynchronous channel allocation covering a channel ranking.


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