scholarly journals Supporting Real-Time Data Transmissions in Cognitive Radio Networks Using Queue Shifting Mechanism

2021 ◽  
Vol 12 (1) ◽  
pp. 1-18
Author(s):  
B. Seetha Ramanjaneyulu ◽  
K. Annapurna
Keyword(s):  
Cognitive Radio ◽  
Real Time ◽  
Cognitive Radio Networks ◽  
Discrete Event ◽  
Radio Networks ◽  
Time Data ◽  
Event Simulation ◽  
Blocking Probabilities ◽  
Real Time Data ◽  
Packet Delays

As cognitive radio networks are conceptualized to make use of the opportunistic spectrum access, the users of these networks may face problems in satisfying their quality of service (QoS) requirements. Some services of users like real-time audio and video which cannot tolerate inter-packet delays will be affected more due to this. The problem occurs due to the non-availability of channels to these applications at some instants. This problem can be addressed if the available channels are judiciously distributed among the competing users. One such mechanism that dynamically allocates the competing users to multiple queues, and shifting the users to higher-level queues as the time elapses is introduced in this work. This is found to help the users of cognitive radio networks to communicate reasonably well even when fewer channels are available for opportunistic use. Results are indicated in terms of blocking probabilities of real-time data. Markov chain-based analysis and discrete event simulation studies are carried out.

Real-time data-driven discrete-event simulation for garment production lines

2020 ◽  
pp. 1-12 ◽  
Author(s):  
Woo-Kyun Jung ◽  
Hyungjung Kim ◽  
Young-Chul Park ◽  
Jae-Won Lee ◽  
Eun Suk Suh
Keyword(s):  
Real Time ◽  
Discrete Event Simulation ◽  
Discrete Event ◽  
Data Driven ◽  
Time Data ◽  
Production Lines ◽  
Event Simulation ◽  
Real Time Data

scholarly journals Desarrollo de algoritmos para la selección de canales espectrales en redes inalámbricas de radio cognitiva usando las estrategias rectiva y proactiva - Development of algorithms for the selection of spectral channels in wireless cognitive radio networks using rective and proactive strategies

2017 ◽  
Vol 2 (29) ◽  
pp. 165
Author(s):  
Danilo Alfonso López-Sarmiento ◽  
Jorge Enrique Salamanca- Cespez ◽  
Adriana Patricia Gallego-Torres
Keyword(s):  
Cognitive Radio ◽  
Real Time ◽  
Cognitive Radio Networks ◽  
Radio Networks ◽  
Best Effort ◽  
El Sistema ◽  
Toma De Decisiones ◽  
La Red ◽  
Spectral Channels ◽  
Selection Of

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.

QoS Maintenance in Cognitive Radio Networks with Priority-Supporting Novel Channel Allocation Method

2019 ◽  
Vol 15 (1) ◽  
pp. 1-16
Author(s):  
K. Annapurna ◽  
B. Seetha Ramanjaneyulu
Keyword(s):  
Cognitive Radio ◽  
Cognitive Radio Networks ◽  
Channel Allocation ◽  
Radio Networks ◽  
Secondary Users ◽  
Primary Users ◽  
Maximum Value ◽  
Blocking Probabilities ◽  
Bid Price

Satisfying the Quality of Service (QoS) is often a challenge in cognitive radio networks, because they depend on opportunistic channel accessing. In this context, appropriate pricing of vacant channels that is linked to the preference in their allocation, is found to be useful. However, ambiguity on the possible price at which the channel would be allotted is still a concern. In this work, an auction mechanism in which maximum value of the bid is predefined is proposed. With this, users quote their bid values as per their needs of getting the channels, up to the predefined maximum allowed bid price. However, final price of allocation is decided based on the sum total demand from all the users and the availability of vacant channels. Performance of the system is found in terms of blocking probabilities of secondary users and revenues to primary users. The proposed system is found to yield similar quantum of revenues as that of the Generalized Second Price (GSP) auction, while offering much lesser blocking probabilities to high-priority users to satisfy their QoS requirements.

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