Titlebook: Cognitive Radio Oriented Wireless Networks; 12th International C Paulo Marques,Ayman Radwan,Michael Gundlach Conference proceedings 2018 IC

杀人

Spectrum Occupancy Classification Using SVM-Radial Basis Functionification accuracy appropriately for distinguishing the class vector in the busy and idle state. We made analysis-based on empirical SVM-RBF model to identify actual duty cycle on the particular band across four mid-size location at Ahmedabad Gujarat.

CLEFT

针叶类的树

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978-3-319-76206-7ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2018

AGOG

爱管闲事

Studies in Computational Intelligenceer-operator spectrum sharing as a sub-case of the network resource trading between operators..A two-operator, two-cell scenario has been considered. Operators share bandwidth orthogonally using standard LTE technology, detailed in the paper. An operator can post resources to a local market (neighbou

Mundane

MUTED

Infuriate

Semantic Issues in E-Commerce Systemsthis paper, we propose an autonomous agent model for spectrum assignment of white space devices at a given location. Each white space device (WSD) acts autonomously out of self-interest, choosing a strategy from its bag of strategies. It obtains a payoff based on its choice and choices made by all o

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Robert Meersman,Karl Aberer,Tharam Dillonnds, especially for dense small cell environment. In this paper, a generic framework of machine learning-aided radio scenario recognition scheme is proposed to acquire the environmental awareness. Particularly, an advanced back propagation neural network-based AdaBoost classification algorithm is de