Genetic Algorithm Optimization in a Cognitive Radio for Autonomous Vehicle Communications

Hauris, J. F.

doi:10.1109/cira.2007.382925

Cited by 24 publications

(6 citation statements)

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“…En Hauris (2007) los algoritmos genéticos han sido empleados para para adaptar los parámetros de RC en los vehículos autónomos. Estos forman una red inalámbrica dinámica geográficamente variable para la comunicación y el intercambio de información entre los vehículos y la estación base (BS) (He et al, 2010).…”

Section: Application Of Metaheuristic Algorithms To Crunclassified

Tecnicas inteligentes en la asignacion de espectro dinamica para redes inalambricas cognitivas

Salgado

Marquez

Gómez³

2016

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RESUMENObjetivo: El objetivo de este trabajo es estudiar las aplicaciones de las diferentes técnicas de inteligencia artificial y aprendizaje autónomo en la asignación dinámica de espectro para redes inalámbricas cognitivas, es especial las distribuidas. Método: El desarrollo del presente trabajo se realizó a través del estudio y análisis de algunas de las publicaciones más relevantes en la literatura actual por medio de la búsqueda en revistas internacionales indexadas en ISI y Scopus. Resultados: Se determinaron las técnicas de inteligencia artificial y aprendizaje autónomo más relevantes y con mayor aplicación en la asignación de espectro para redes inalámbricas cognitivas. Conclusiones: La implementación de una técnica o del conjunto de las mismas depende de las necesidades en procesamiento de la señal, compensaciones en los tiempos de respuesta, disponibilidad de las muestras, capacidad de almacenamiento, capacidad de aprendizaje, robustez, entre otras.Palabras Clave: aprendizaje autonomo, asignacion dinamica de espectro, inteligencia artificial, radio cognitivas, redes inalambricas. ABSTRACTObjective: The objective of this work is to study the applications of different techniques of artificial intelligence and autonomous learning in the dynamic allocation of spectrum for cognitive wireless networks, especially the distributed ones. Method: The development of this work was done through the study and analysis of some of the most relevant publications in current literature through the search in indexed international journals in ISI and Scopus. Results: the most relevant techniques of artificial intelligence and autonomous learning were determined. Also, the ones with more applicability in the allocation of spectrum for cognitive wireless networks were determined, too. . Tecnicas inteligentes en la asignacion de espectro dinamica para redes inalambricas cognitivasSmart techniques in the dynamic spectrum alocation for cognitive wireless networks

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Section: Application Of Metaheuristic Algorithms To Crunclassified

Tecnicas inteligentes en la asignacion de espectro dinamica para redes inalambricas cognitivas

Salgado

Marquez

Gómez³

2016

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“…Since CRs are required to adapt based on the environmental sensing and learning results, GAs are used to evolve a radio defined by a chromosome. The adjustable parameters of a radio are presented by genes in a chromosome and a set of parameters which optimizes the radio for the CR node needs is found by GA. GA has also been used in other aspects for CRs such as spectrum management [28], determining of Radio Frequency (RF) parameters for optimal radio communications in the varying RF environment for autonomous vehicle communications [31], and channel allocation [32]. Although GA has been proposed to be used in various areas for Cognitive Radio Network (CRN), the high computational requirement of the algorithm has been a hurdle to realize GA in real-time for resource optimization in the MAC layer [33].…”

Section: Genetic Algorithm Based Mac Parameter Optimizationmentioning

confidence: 99%

Exploring parallelization for medium access schemes on many-core software defined radio architecture

Zhang

Ansari

Arya

et al. 2013

Proceedings of the Second Workshop on Software Radio Implementation Forum

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As multi-standard devices and high speed communication standards are emerging, timeliness requirements and flexibility for both baseband modem and medium access schemes are becoming essential. Software Defined Radios (SDRs), in this context, aim at offering the desired flexibility while satisfying the real-time constraints. An SDR architecture consisting of many-core homogeneous computing elements provides easy protocol implementation, a high level of portability and extension possibilities. It does not require architecture specific program code which is needed by the popular heterogeneous SDR architectures. Therefore, in this paper, we explore how a homogeneous SDR architecture is used for efficient realization and execution of Medium Access Control (MAC) protocols. In particular, we investigate the performance of two broad classes of MAC schemes on the Platform 2012 (P2012) many-core programmable computing fabric. We provide a toolchain which utilizes the characteristics of P2012 for MAC parallelization, runtime scheduling, and execution. Our results indicate that by using the supporting toolchain, reconfigurable MAC implementations are able to exploit the computational power offered by the platform and adhere to the timeliness constraints. Computationally intensive algorithms for MAC layer parameter optimization show an improvement of up to 85% in the convergence time as compared to using a single-core architecture.

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“…Several meta heuristic methods exist to search an optimum solution including genetic algorithm (GA). The main advantage of GA over other methods is the parallelism that can accelerate the simulation outcomes [14]. GA is among the intelligence techniques proposed in the field of CRN and has the capability to adapt to the CR environment [15].…”

Section: Introductionmentioning

confidence: 99%

Spectrum sensing in cognitive femtocell network based on near‐field source localisation using genetic algorithm

et al. 2017

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Genetic Algorithm Optimization in a Cognitive Radio for Autonomous Vehicle Communications

Cited by 24 publications

References 1 publication

Tecnicas inteligentes en la asignacion de espectro dinamica para redes inalambricas cognitivas

Tecnicas inteligentes en la asignacion de espectro dinamica para redes inalambricas cognitivas

Exploring parallelization for medium access schemes on many-core software defined radio architecture

Spectrum sensing in cognitive femtocell network based on near‐field source localisation using genetic algorithm

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